Masentó SAP are working with a global customer that requires an experienced French speaking SAP CO Consultant on an initial 6-month contract This will be a Remote working role You will be working on an S/4HANA implementation across their main European wave. Skills & Responsibilities: At least 8 -10 years of experience in SAP CO Be able to drive transactional SAP Finance deployments Experience across CO-PA and CO-PS in S/4HANA Worked on end-to-end S/4HANA implementations Ability to work in challenging environments Please apply with your latest CV for immediate consideration.
16/06/2024
Project-based
Masentó SAP are working with a global customer that requires an experienced French speaking SAP CO Consultant on an initial 6-month contract This will be a Remote working role You will be working on an S/4HANA implementation across their main European wave. Skills & Responsibilities: At least 8 -10 years of experience in SAP CO Be able to drive transactional SAP Finance deployments Experience across CO-PA and CO-PS in S/4HANA Worked on end-to-end S/4HANA implementations Ability to work in challenging environments Please apply with your latest CV for immediate consideration.
* Position is bonus eligible* Prestigious Financial Institution is currently seeking an Enterprise Monitoring Technical Lead Engineer with strong Splunk experience. Candidate will lead the investigating, planning, and implementing of the enterprise monitoring system, as well as identify areas for improvement, recommend allocation of resources, and work with solution architects to craft an appropriate remediation or enhancement for these systems. Responsibilities: Translate middle and senior management strategic directives into workable technical directives Monitor project status and take remedial action on projects behind schedule and/or over budget Provide subject matter expertise for ongoing support of third-party tools like Splunk Provide expert-level technical mentoring to more junior members of the team Resolve complex support issues in non-production and production environments. Have an understanding of Cloud Native applications running on Kubernetes within AWS and how exposed APIs may be used to monitor them Assist production support and development staff in debugging environment defects using logging monitors and/or APM-related profiling data Create procedural and troubleshooting documentation related to enterprise monitoring systems and the applications they are monitoring Write complex automation scripts using common automation tools, such as Jenkins, Ansible, and Terraform for the installation, configuration, and/or upgrade of monitoring systems. Qualifications: Expert understanding of: Systems administration and change management practices Enterprise monitoring and reporting tools Experience Scripting and/or coding against APIs In-depth knowledge of common used management and monitoring tech Internet/Web based technologies ITIL Best Practices Experience with tech used to support microservices Network technologies AWS log collection such as CloudTrail, CloudWatch, VPC Flow Logs Monitoring and reporting using SNMP CI/CD tools such as Artifactory, Jenkins, and GIT Cloud native applications, including Terraform experience Technologies used to support microservices Encryption technologies (SSL/TLS, PKI Infrastructure management) Security controls as applied to software technologies Bachelor's degree in a related area 10+ years of related experience 10 years experience working in a distributed multi-platform environment. 3 years experience working with cloud native applications 3 years experience managing technical projects Cloud certification in AWS is a plus
15/06/2024
Full time
* Position is bonus eligible* Prestigious Financial Institution is currently seeking an Enterprise Monitoring Technical Lead Engineer with strong Splunk experience. Candidate will lead the investigating, planning, and implementing of the enterprise monitoring system, as well as identify areas for improvement, recommend allocation of resources, and work with solution architects to craft an appropriate remediation or enhancement for these systems. Responsibilities: Translate middle and senior management strategic directives into workable technical directives Monitor project status and take remedial action on projects behind schedule and/or over budget Provide subject matter expertise for ongoing support of third-party tools like Splunk Provide expert-level technical mentoring to more junior members of the team Resolve complex support issues in non-production and production environments. Have an understanding of Cloud Native applications running on Kubernetes within AWS and how exposed APIs may be used to monitor them Assist production support and development staff in debugging environment defects using logging monitors and/or APM-related profiling data Create procedural and troubleshooting documentation related to enterprise monitoring systems and the applications they are monitoring Write complex automation scripts using common automation tools, such as Jenkins, Ansible, and Terraform for the installation, configuration, and/or upgrade of monitoring systems. Qualifications: Expert understanding of: Systems administration and change management practices Enterprise monitoring and reporting tools Experience Scripting and/or coding against APIs In-depth knowledge of common used management and monitoring tech Internet/Web based technologies ITIL Best Practices Experience with tech used to support microservices Network technologies AWS log collection such as CloudTrail, CloudWatch, VPC Flow Logs Monitoring and reporting using SNMP CI/CD tools such as Artifactory, Jenkins, and GIT Cloud native applications, including Terraform experience Technologies used to support microservices Encryption technologies (SSL/TLS, PKI Infrastructure management) Security controls as applied to software technologies Bachelor's degree in a related area 10+ years of related experience 10 years experience working in a distributed multi-platform environment. 3 years experience working with cloud native applications 3 years experience managing technical projects Cloud certification in AWS is a plus
Request Technology - Craig Johnson
Chelmsford, Massachusetts
*We are unable to sponsor for this permanent Full time onsite role* *Position is bonus eligible* Prestigious Enterprise Company is currently seeking an Senior Manager Oracle Applications DBA. Candidate will be very hands-on, and will be ensuring production up-time service levels are maintained and made available per requirements that include backup, recovery, refresh, performance tuning, and security (physical and data). Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Excellent interpersonal communication skills Ability to work with team members located in multiple geographies and time zones. Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud.
15/06/2024
Full time
*We are unable to sponsor for this permanent Full time onsite role* *Position is bonus eligible* Prestigious Enterprise Company is currently seeking an Senior Manager Oracle Applications DBA. Candidate will be very hands-on, and will be ensuring production up-time service levels are maintained and made available per requirements that include backup, recovery, refresh, performance tuning, and security (physical and data). Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Excellent interpersonal communication skills Ability to work with team members located in multiple geographies and time zones. Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this Hybrid contract role* Prestigious Financial Institution is currently seeking an IT Asset Management Associate. Candidate will support the management and performance of IT Asset Management, and subsequently IT Service Management (ITSM), solutions that will effectively and efficiently support the strategic objectives and operational needs Responsibilities. This position is responsible for supporting the population and maintenance of the ServiceNow Software Hardware Management Database. This person will provided services to the ITSM team, and will be responsible for the day-to-day activities relating to hardware asset management, including procurement and onboarding documentation, asset tracking, auditing, and disposal, to ensure compliance with procedures and standards. This person will also collaborate with the rest of the ServiceNow platform team, Configuration Management team, Discovery team, ITSM team and Software Asset Management team members on various technical integrations. Qualifications: Experience with ServiceNow. Experience with HamPro, AssetTrack, dcTrack and other hardware management softwares. Experience interpreting licensing terms and conditions, purchase orders, and service agreements. Knowledge of Hardware Asset life cycle from request to disposal. Knowledge of inventory process and controls including asset tagging and data cleansing. Experience in ServiceNow Orchestration and Performance Analytics. Ability to collaborate and communicate effectively across multiple stakeholders to ensure an effective system that adheres to governance standards. Broad general knowledge of IT infrastructure topology including typical application, server, and network configurations. Experience with Microsoft Office desktop tools (Project, Word, Excel), Atlassian tools (JIRA, Confluence).
15/06/2024
Project-based
*We are unable to sponsor for this Hybrid contract role* Prestigious Financial Institution is currently seeking an IT Asset Management Associate. Candidate will support the management and performance of IT Asset Management, and subsequently IT Service Management (ITSM), solutions that will effectively and efficiently support the strategic objectives and operational needs Responsibilities. This position is responsible for supporting the population and maintenance of the ServiceNow Software Hardware Management Database. This person will provided services to the ITSM team, and will be responsible for the day-to-day activities relating to hardware asset management, including procurement and onboarding documentation, asset tracking, auditing, and disposal, to ensure compliance with procedures and standards. This person will also collaborate with the rest of the ServiceNow platform team, Configuration Management team, Discovery team, ITSM team and Software Asset Management team members on various technical integrations. Qualifications: Experience with ServiceNow. Experience with HamPro, AssetTrack, dcTrack and other hardware management softwares. Experience interpreting licensing terms and conditions, purchase orders, and service agreements. Knowledge of Hardware Asset life cycle from request to disposal. Knowledge of inventory process and controls including asset tagging and data cleansing. Experience in ServiceNow Orchestration and Performance Analytics. Ability to collaborate and communicate effectively across multiple stakeholders to ensure an effective system that adheres to governance standards. Broad general knowledge of IT infrastructure topology including typical application, server, and network configurations. Experience with Microsoft Office desktop tools (Project, Word, Excel), Atlassian tools (JIRA, Confluence).
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior .NET Product Engineer with Azure experience. Candidate will be responsible for delivering custom business solutions using the Microsoft technology stack. The individual will lead and coordinate projects from a technology perspective, following secure SDLC activities and standards that are consistent with best practices. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Responsibilities: Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Work, as directed, with business owners, other IT teams, and vendors to create integrations both to/from vendors. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Effectively listens to understand and articulates technical and non-technical information (both written and oral formats) to customers, peers and/or management in a one-on-one or team context with some oversight. Provides production support activities, including advanced technical writing. Documents small to medium scale projects with some supervision, and may be involved in developing and delivering presentations to aid in custom product development decision making. Manages organizational development by dissecting complex situations and refocusing on the most critical technology tasks. Contributes through technical expertise/professional experience in solving problems and/or delivering on opportunities facing the team or group. Provides feedback to management on strategic recommendations. Fosters environment of innovation and change. Aligns changes with the organization's strategic direction and objectives and customer expectations. Recognizes the scope of problems and understands the impact of changes on others. Identifies short and long-range organizational needs. Creates a clear focus on internal and external customer needs. Qualifications: Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Must possess requirement and component level estimation, database design and development skills. Experience in a law firm or global professional services environment preferred. Knowledge of Microsoft Azure technologies. Working with low code platforms like IntApp platform is a plus. Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Technologies: Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture. Advanced Awareness of the Software Development Life Cycle and development methodology (ie Scrum Agile)
15/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior .NET Product Engineer with Azure experience. Candidate will be responsible for delivering custom business solutions using the Microsoft technology stack. The individual will lead and coordinate projects from a technology perspective, following secure SDLC activities and standards that are consistent with best practices. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Responsibilities: Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Work, as directed, with business owners, other IT teams, and vendors to create integrations both to/from vendors. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Effectively listens to understand and articulates technical and non-technical information (both written and oral formats) to customers, peers and/or management in a one-on-one or team context with some oversight. Provides production support activities, including advanced technical writing. Documents small to medium scale projects with some supervision, and may be involved in developing and delivering presentations to aid in custom product development decision making. Manages organizational development by dissecting complex situations and refocusing on the most critical technology tasks. Contributes through technical expertise/professional experience in solving problems and/or delivering on opportunities facing the team or group. Provides feedback to management on strategic recommendations. Fosters environment of innovation and change. Aligns changes with the organization's strategic direction and objectives and customer expectations. Recognizes the scope of problems and understands the impact of changes on others. Identifies short and long-range organizational needs. Creates a clear focus on internal and external customer needs. Qualifications: Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Must possess requirement and component level estimation, database design and development skills. Experience in a law firm or global professional services environment preferred. Knowledge of Microsoft Azure technologies. Working with low code platforms like IntApp platform is a plus. Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Technologies: Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture. Advanced Awareness of the Software Development Life Cycle and development methodology (ie Scrum Agile)
AWS Cloud based performance testing Chicago - Hybrid 3 days on site. - Long term contract role C2C or W2 Must be AWS certified heavy cloud experience setting up and maintenance of a cloud-based performance system to automate and troubleshoot environmental issues. Performance testing, automation testings, financial experience strongly preferred. python Scripting: converting Java to python. Don't have to be application developers and as much. Devops and containerization as possible splunk confluence Jira API testing uc4 or similar. All about cloud testing system they are migrating from an old system to a new system kafka is a HUGE plus WORK TO BE PERFORMED: Performance Testing with open-source tools like JMeter, Gatling. Perl Scripting, PowerShell Scripting, solid Python Scripting and Java. Setting up of parallel testing environments that will be used to compare existing system business processes and data to a new cloud-based system/platform. Goal is to ensure that new system is producing correct results and performing as expected before it can become the official system of record. The ability to take raw data, mask it and create algorithms and solutions that increase the data load that will feed into our new Clearing System and with no issues, duplicates or any other data issues that will cause it to be rejected. Assist in the set up and maintenance of cloud-based performance and functional test environments in the Cloud (AWS) and define the steps to automate the process for continuous testing and iterations of cycles. SKILL AND EXPERIENCE REQUIRED: Python Scripting - familiarity with creating modules that multiply transactional data and other data multiplier strategies that will be used in test cycles of the Real Time Clearing System SDET automation testing skills/QA automation engineering Experience with Performance Engineering concepts and methodologies as well as cloud technologies and migrations using public cloud vendor. Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. AWS Certified SysOps Administrator or Certified Developer (required) Languages Technologies: Java, Kafka, Docker, Kubernetes, DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4, Change Data Capture, Docker, AWS/Google/Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction, Spring-Integration, JDBC, Shell Scripting, XML, JavaScript, SQL, Python, JMeter, Gatling, Perl, PowerShell. SignalFX, AppDynamics. Software tools and Utilities: Jenkins, Kubernetes, Enterprise Architect (EA), Enterprise Manager-UM, SQL Developer, JConsole, Visual Studio, JMeter, Bitbucket, Git, CVS, SVN, PuTTy, Microsoft Visio, TOAD, SourceTree, JIRA, Confluence, Sonar, Bamboo, Splunk, Automic (UC4), Apache Kafka, LogicMonitor, BMC MainView, Real Time, and Historical monitoring tools on-prem and in the Cloud.Web Servers/App. Servers/Containers Experience; Database Technologies: DB2, PostgreSQL; Operating Systems experience; Methodologies: Agile, Iterative Waterfall
15/06/2024
Project-based
AWS Cloud based performance testing Chicago - Hybrid 3 days on site. - Long term contract role C2C or W2 Must be AWS certified heavy cloud experience setting up and maintenance of a cloud-based performance system to automate and troubleshoot environmental issues. Performance testing, automation testings, financial experience strongly preferred. python Scripting: converting Java to python. Don't have to be application developers and as much. Devops and containerization as possible splunk confluence Jira API testing uc4 or similar. All about cloud testing system they are migrating from an old system to a new system kafka is a HUGE plus WORK TO BE PERFORMED: Performance Testing with open-source tools like JMeter, Gatling. Perl Scripting, PowerShell Scripting, solid Python Scripting and Java. Setting up of parallel testing environments that will be used to compare existing system business processes and data to a new cloud-based system/platform. Goal is to ensure that new system is producing correct results and performing as expected before it can become the official system of record. The ability to take raw data, mask it and create algorithms and solutions that increase the data load that will feed into our new Clearing System and with no issues, duplicates or any other data issues that will cause it to be rejected. Assist in the set up and maintenance of cloud-based performance and functional test environments in the Cloud (AWS) and define the steps to automate the process for continuous testing and iterations of cycles. SKILL AND EXPERIENCE REQUIRED: Python Scripting - familiarity with creating modules that multiply transactional data and other data multiplier strategies that will be used in test cycles of the Real Time Clearing System SDET automation testing skills/QA automation engineering Experience with Performance Engineering concepts and methodologies as well as cloud technologies and migrations using public cloud vendor. Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. AWS Certified SysOps Administrator or Certified Developer (required) Languages Technologies: Java, Kafka, Docker, Kubernetes, DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4, Change Data Capture, Docker, AWS/Google/Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction, Spring-Integration, JDBC, Shell Scripting, XML, JavaScript, SQL, Python, JMeter, Gatling, Perl, PowerShell. SignalFX, AppDynamics. Software tools and Utilities: Jenkins, Kubernetes, Enterprise Architect (EA), Enterprise Manager-UM, SQL Developer, JConsole, Visual Studio, JMeter, Bitbucket, Git, CVS, SVN, PuTTy, Microsoft Visio, TOAD, SourceTree, JIRA, Confluence, Sonar, Bamboo, Splunk, Automic (UC4), Apache Kafka, LogicMonitor, BMC MainView, Real Time, and Historical monitoring tools on-prem and in the Cloud.Web Servers/App. Servers/Containers Experience; Database Technologies: DB2, PostgreSQL; Operating Systems experience; Methodologies: Agile, Iterative Waterfall
This position involves collaborating with a regional/global team, and therefore, short business trips that last up to one week may be necessary. The role encompasses both Dev and Ops, including participation in an on-call rotation. (MUST BE BASED IN DUBLIN) Job Responsibilities: Develop and execute changes on the client network. Lead network projects relating to network deployment/implementation, network scaling, technology refresh, application of best practices, and network optimization. Troubleshoot network routing, interconnectivity, performance, and configuration issues. Preserve standards within the networking toolset, ensuring full compliance with those standards and policies. Provide solutions and processes that are simple, long-lasting, and can be replicated. What we are looking for: Experience in working with VPN solutions in general and good IPSEC knowledge Thorough understanding of TCP/IP Networking, IP routing and core technologies such as IP, TCP, OSPF/IS-IS, BGP, MPLS, ACLs, IPSEC, DNS, etc. Any skills related to automation/software development/programming are a welcomed, but not mandatory Experience in working with Cloud or Network Fabric technologies (VXLAN, Fabricpath) are a bonus The right candidate must have full right to live and work in Dublin, Ireland. Please send your up to date CV or let me know if you would like to have a chat about the role.
15/06/2024
Project-based
This position involves collaborating with a regional/global team, and therefore, short business trips that last up to one week may be necessary. The role encompasses both Dev and Ops, including participation in an on-call rotation. (MUST BE BASED IN DUBLIN) Job Responsibilities: Develop and execute changes on the client network. Lead network projects relating to network deployment/implementation, network scaling, technology refresh, application of best practices, and network optimization. Troubleshoot network routing, interconnectivity, performance, and configuration issues. Preserve standards within the networking toolset, ensuring full compliance with those standards and policies. Provide solutions and processes that are simple, long-lasting, and can be replicated. What we are looking for: Experience in working with VPN solutions in general and good IPSEC knowledge Thorough understanding of TCP/IP Networking, IP routing and core technologies such as IP, TCP, OSPF/IS-IS, BGP, MPLS, ACLs, IPSEC, DNS, etc. Any skills related to automation/software development/programming are a welcomed, but not mandatory Experience in working with Cloud or Network Fabric technologies (VXLAN, Fabricpath) are a bonus The right candidate must have full right to live and work in Dublin, Ireland. Please send your up to date CV or let me know if you would like to have a chat about the role.
Summary: This position is expected to manage and/or support initiatives for continuous improvement in current and future CargoWise modules and projects as determined by the company. The successful candidate for this role will take ownership of the development and deployment of these projects, communicate on progress, and meet deadlines as decided by the company. This position is critical to the continued efficient use of our CargoWise operating system. Responsibilities: Help develop project plans for assigned projects Ensure projects adhere to frameworks and all documentation is maintained appropriately for each project Support implementation of new features and training with roll out Handle multiple projects simultaneously, meeting deadlines Analyze project data & risk, report findings, and propose solutions Provide administrative support as needed Work on tight deadlines and changing priorities Ensure stakeholder views are managed toward the best solution Work independently and as part of a team CargoWise documentation Requirements: Minimum 2 years CargoWise Experience 2 years of SQL Back End/data base skills 2 years of workflows programming and debugging. 2 years of experience with creating and modifying documents within Cargowise. 2 years of experience of Air & Ocean Import/Export Preferred skills Excellent Communication & listening skills Planning & time management skills Deadline management Prioritization Intermediate proficiency in Microsoft Excel
15/06/2024
Full time
Summary: This position is expected to manage and/or support initiatives for continuous improvement in current and future CargoWise modules and projects as determined by the company. The successful candidate for this role will take ownership of the development and deployment of these projects, communicate on progress, and meet deadlines as decided by the company. This position is critical to the continued efficient use of our CargoWise operating system. Responsibilities: Help develop project plans for assigned projects Ensure projects adhere to frameworks and all documentation is maintained appropriately for each project Support implementation of new features and training with roll out Handle multiple projects simultaneously, meeting deadlines Analyze project data & risk, report findings, and propose solutions Provide administrative support as needed Work on tight deadlines and changing priorities Ensure stakeholder views are managed toward the best solution Work independently and as part of a team CargoWise documentation Requirements: Minimum 2 years CargoWise Experience 2 years of SQL Back End/data base skills 2 years of workflows programming and debugging. 2 years of experience with creating and modifying documents within Cargowise. 2 years of experience of Air & Ocean Import/Export Preferred skills Excellent Communication & listening skills Planning & time management skills Deadline management Prioritization Intermediate proficiency in Microsoft Excel
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious company is looking for an IT Security GRC Specialist. This specialist will be the SME for information security GRC and will perform key risk management functions within the security governance department. They will do 3rd party vendor risk management and internal risk management. Experience with frameworks ISO 27001, NIST, SOC, SIG is required. Responsibilities: Management of process improvement, control maturity, and communication of risk throughout assigned GRC service activities. Level II responsibilities include incorporating ISO 27001 principles for continuous improvement throughout all services and support activities. Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. This service also provides contract review for security requirements. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cybersecurity and risk requirements. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Exception management, processing and tracking requests for exception to security controls. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Ensures security awareness training is aligned, defined, and executed. Evaluation of cyber training/education courses and methods based on instructional needs. Administration of the GRC technology platforms. Qualifications Bachelor's degree or five (5) years of work experience in IT Security is required. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required. Technical writing experience is required. Experience with instructional content educational writing strongly preferred. Strong knowledge of risk management principles and practices are required. Strong knowledge of security administration and role-based security controls are required. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Interview, gather, and understand content from subject-matter experts. Maintain accurate records and manage client security and risk requests. Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm's security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline, and procedure documents. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
14/06/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* *Hybrid 3 days onsite 2 days remote* A prestigious company is looking for an IT Security GRC Specialist. This specialist will be the SME for information security GRC and will perform key risk management functions within the security governance department. They will do 3rd party vendor risk management and internal risk management. Experience with frameworks ISO 27001, NIST, SOC, SIG is required. Responsibilities: Management of process improvement, control maturity, and communication of risk throughout assigned GRC service activities. Level II responsibilities include incorporating ISO 27001 principles for continuous improvement throughout all services and support activities. Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. This service also provides contract review for security requirements. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cybersecurity and risk requirements. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Exception management, processing and tracking requests for exception to security controls. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Ensures security awareness training is aligned, defined, and executed. Evaluation of cyber training/education courses and methods based on instructional needs. Administration of the GRC technology platforms. Qualifications Bachelor's degree or five (5) years of work experience in IT Security is required. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required. Technical writing experience is required. Experience with instructional content educational writing strongly preferred. Strong knowledge of risk management principles and practices are required. Strong knowledge of security administration and role-based security controls are required. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Interview, gather, and understand content from subject-matter experts. Maintain accurate records and manage client security and risk requests. Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm's security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline, and procedure documents. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
14/06/2024
Full time
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
14/06/2024
Full time
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Senior Product Engineer - C# Salary: $130k to $145k plus bonus Location: Chicago, IL 3 days in office 2 days remote Looking for a candidate with 6+ years C# Fullstack Development to develop custom applications legal, finance, HR, risk etc. You will be responsible for delivering custom business solutions using the Microsoft technology stack. You will perform analysis, design and implementation of solutions. Qualifications & Requirements Bachelor's Degree 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Experience developing MSOffice add-Ins in Word, Outlook and Excel Experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Experience in a law firm or global professional services environment preferred. Technologies/Software Core Technologies Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server
14/06/2024
Full time
NO SPONSORSHIP Senior Product Engineer - C# Salary: $130k to $145k plus bonus Location: Chicago, IL 3 days in office 2 days remote Looking for a candidate with 6+ years C# Fullstack Development to develop custom applications legal, finance, HR, risk etc. You will be responsible for delivering custom business solutions using the Microsoft technology stack. You will perform analysis, design and implementation of solutions. Qualifications & Requirements Bachelor's Degree 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Experience developing MSOffice add-Ins in Word, Outlook and Excel Experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Experience in a law firm or global professional services environment preferred. Technologies/Software Core Technologies Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
14/06/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
Spectrum IT Recruitment (South) Ltd
Basingstoke, Hampshire
Senior Android Developer - 3 Vacancies - Up to £95,000 - Basingstoke We are looking for a Senior Android Developer to work on a permanent basis for our rapidly-growing client based out of Basingstoke. They have undergone a huge period of growth across all areas of the business, they are expecting an upcoming acquisition which will give the organisation a leading market share in 80+ countries. The company's chief product is their mobile application which is used by over 45 million users globally and is growing on a yearly basis and are heavily investing in their mobile team across multiple locations in Europe and the US. There are up to 3 vacancies on offer for this level of position. You will be a senior level developer who is able to thrive in an agile and dynamic environment and drive forward ideas and initiatives. Day to day, you will be working on a global app range adding innovative new features as well as fixing existing software bugs and creating new apps for their ever growing market sectors, working in a friendly and relaxed environment, encouraging creativity and enquiring minds who keep up to date on the latest changes in the Android operating system. Technical skill set : 5+ years within an Android/Mobile Development position Programming Java and Kotlin for Android applications Strong knowledge of Android SDK Experience with offline storage, threading and performance tuning Developing in a Windows Environment using Android Studio. Knowledge of the open-source Android ecosystem and the libraries available Strong knowledge of Android UI design principles, patterns and best practices Integration of web APIs Experience of source control software ideally Git Secure coding experience This is a very interesting environment to work in with some great projects on offer for you to be involved in which will increase your technical scope and give you the opportunity to learn and grow, potentially towards a technical lead in the near future through internal progression. You are required in the Basingstoke office at least once per week, which is easily commutable via public transport and car. This role is paying up to £95,000 alongside great benefits, including an array of benefits. Please contact (see below) or hit apply. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
14/06/2024
Full time
Senior Android Developer - 3 Vacancies - Up to £95,000 - Basingstoke We are looking for a Senior Android Developer to work on a permanent basis for our rapidly-growing client based out of Basingstoke. They have undergone a huge period of growth across all areas of the business, they are expecting an upcoming acquisition which will give the organisation a leading market share in 80+ countries. The company's chief product is their mobile application which is used by over 45 million users globally and is growing on a yearly basis and are heavily investing in their mobile team across multiple locations in Europe and the US. There are up to 3 vacancies on offer for this level of position. You will be a senior level developer who is able to thrive in an agile and dynamic environment and drive forward ideas and initiatives. Day to day, you will be working on a global app range adding innovative new features as well as fixing existing software bugs and creating new apps for their ever growing market sectors, working in a friendly and relaxed environment, encouraging creativity and enquiring minds who keep up to date on the latest changes in the Android operating system. Technical skill set : 5+ years within an Android/Mobile Development position Programming Java and Kotlin for Android applications Strong knowledge of Android SDK Experience with offline storage, threading and performance tuning Developing in a Windows Environment using Android Studio. Knowledge of the open-source Android ecosystem and the libraries available Strong knowledge of Android UI design principles, patterns and best practices Integration of web APIs Experience of source control software ideally Git Secure coding experience This is a very interesting environment to work in with some great projects on offer for you to be involved in which will increase your technical scope and give you the opportunity to learn and grow, potentially towards a technical lead in the near future through internal progression. You are required in the Basingstoke office at least once per week, which is easily commutable via public transport and car. This role is paying up to £95,000 alongside great benefits, including an array of benefits. Please contact (see below) or hit apply. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.