We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: SIEM/Incident SME (Need Active DV Clearance) Location: Hybrid onsite in one of the following locations 2/3 days per week - Corsham, Portsmouth or Northallerton Duration: 6 months Role Description: Main Tech Skills required are ELK (Elastic, Logstash, Kibana) and Tanium The Cyber role is to join a growing security team responsible for designing, delivering and maintaining operational cybersecurity capabilities. Conducting pro-active, risk-based, protective monitoring on priority C4IS/networks to identify internal and external cyber-threats/attacks. This position involves a broad range of skills, including the development and mentoring of Junior Analysts, monitoring networks to actively remediate unauthorised activities. Your role Develop and integrate security event monitoring and incident management services. Respond to security incidents as they occur as part of an incident response team. Implement metrics and dashboards to give visibility of the Enterprise infrastructure. Use of the SOAR platform to assist with playbook automation and case management capabilities to streamline team processes and tools. Produce documentation to ensure the repeatability and standardisation of security operating procedures. Develop additional investigative methods using the SOC's software toolsets to enhance recognition opportunities for specific analysis. Maintain a baseline of system security according to latest threat intelligence and evolving trends. Participate in root cause analysis of incidents in conjunction with engineers across the enterprise. Provide Subject Matter Expertise (SME) on a broad range of information security standards and best practices. Offer strategic and tactical security guidance including valuation requirement of technical controls. Be part of the CRM process Liaise with the SOC engineers to maintain up-to-date dashboards of security alerts, to allow the organisation to better respond to an incident. Document, validate and create operational processes and procedures to help develop the SOC. Assist in identifying, prioritising, and coordinating the protection of critical cyber defence infrastructure and key resources. Build, install, configure, and test dedicated cyber defence hardware. Support Junior Analysts to manage SOC systems. Previous experience of Enterprise ICS/network architectures and technologies Experience and knowledge of SIEM solutions; having the ability to identify use cases and their creation, their deployment and tuning. Experience as a mentor/coach to Junior Analysts Your profile Previous experience of utilising the MITRE ATT&CK and Cyber Kill Chain frameworks Skilled in maintaining Microsoft directory services. Skilled in using virtualisation software. Knowledge of key security frameworks (eg ISO, NIST 800-53, 800-171, 800-172, C2M2) Excellent communication skills Experience of writing Defence/Government documentation Desirable Qualifications: Broad Spectrum Cyber Course (SANS SEC401 or SEC501 or equivalent) SIEM Design, Architecture and Analyst Course (SANS SEC455 or SEC555 or equivalent) Advanced Analyst Course (SANS SEC503 or equivalent)
17/05/2024
Project-based
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: SIEM/Incident SME (Need Active DV Clearance) Location: Hybrid onsite in one of the following locations 2/3 days per week - Corsham, Portsmouth or Northallerton Duration: 6 months Role Description: Main Tech Skills required are ELK (Elastic, Logstash, Kibana) and Tanium The Cyber role is to join a growing security team responsible for designing, delivering and maintaining operational cybersecurity capabilities. Conducting pro-active, risk-based, protective monitoring on priority C4IS/networks to identify internal and external cyber-threats/attacks. This position involves a broad range of skills, including the development and mentoring of Junior Analysts, monitoring networks to actively remediate unauthorised activities. Your role Develop and integrate security event monitoring and incident management services. Respond to security incidents as they occur as part of an incident response team. Implement metrics and dashboards to give visibility of the Enterprise infrastructure. Use of the SOAR platform to assist with playbook automation and case management capabilities to streamline team processes and tools. Produce documentation to ensure the repeatability and standardisation of security operating procedures. Develop additional investigative methods using the SOC's software toolsets to enhance recognition opportunities for specific analysis. Maintain a baseline of system security according to latest threat intelligence and evolving trends. Participate in root cause analysis of incidents in conjunction with engineers across the enterprise. Provide Subject Matter Expertise (SME) on a broad range of information security standards and best practices. Offer strategic and tactical security guidance including valuation requirement of technical controls. Be part of the CRM process Liaise with the SOC engineers to maintain up-to-date dashboards of security alerts, to allow the organisation to better respond to an incident. Document, validate and create operational processes and procedures to help develop the SOC. Assist in identifying, prioritising, and coordinating the protection of critical cyber defence infrastructure and key resources. Build, install, configure, and test dedicated cyber defence hardware. Support Junior Analysts to manage SOC systems. Previous experience of Enterprise ICS/network architectures and technologies Experience and knowledge of SIEM solutions; having the ability to identify use cases and their creation, their deployment and tuning. Experience as a mentor/coach to Junior Analysts Your profile Previous experience of utilising the MITRE ATT&CK and Cyber Kill Chain frameworks Skilled in maintaining Microsoft directory services. Skilled in using virtualisation software. Knowledge of key security frameworks (eg ISO, NIST 800-53, 800-171, 800-172, C2M2) Excellent communication skills Experience of writing Defence/Government documentation Desirable Qualifications: Broad Spectrum Cyber Course (SANS SEC401 or SEC501 or equivalent) SIEM Design, Architecture and Analyst Course (SANS SEC455 or SEC555 or equivalent) Advanced Analyst Course (SANS SEC503 or equivalent)
Cloud DevOps Engineer - Dublin Gibbs Hybrid is looking for an accomplished Cloud DevOps Engineer to support a Dublin based client, across their cloud environment. The Cloud Engineer will understand the interactions between systems, the applications and services hosted and evaluate the impact of changes and additions, specifically within a Cloud environment. This is a contract to permanent opportunity. 2/3 days a week onsite in Dublin office. Perform all phases of software engineering including requirements analysis, application design code development and testing Partner with engineering/product management groups and represent operations, influence capability prioritization process with reliability challenges and operational investments Ability to work in a DevOps frame of work and responsibilities Participate in an Agile/Scrum methodology to deliver high-quality software releases every Sprint Collaborate with System Analysts and Product Owners to align business requirements to the functionality of the application Troubleshoot production support issues post-deployment and come up with solutions as required Monitor and assess end to end performance on services by understanding all infrastructure components within the service chain Essential: Experience in 24x7 Production Support and ITSM Practices Hands on distributed server operations (build, break/fix, manage, patching, prod support) 3+ years of application development experience Knowledge of monitoring tools, automation scripts, and overall automation to reduce manual efforts Experience working with Open Source technology such as Git/GitHub, OpenShift, Apache JMeter, or Python Experience working in an Agile CI/CD (Continuous Integration/Continuous Delivery) development environment Experience with writing batch files, PowerShell scripts or UNIX Shell Scripts Excellent written communication skills and ability to document technical content 4 year degree in computer science or equivalent experience Click Apply now/contact Lianne to be considered for the Cloud DevOps Engineer - Dublin role
17/05/2024
Cloud DevOps Engineer - Dublin Gibbs Hybrid is looking for an accomplished Cloud DevOps Engineer to support a Dublin based client, across their cloud environment. The Cloud Engineer will understand the interactions between systems, the applications and services hosted and evaluate the impact of changes and additions, specifically within a Cloud environment. This is a contract to permanent opportunity. 2/3 days a week onsite in Dublin office. Perform all phases of software engineering including requirements analysis, application design code development and testing Partner with engineering/product management groups and represent operations, influence capability prioritization process with reliability challenges and operational investments Ability to work in a DevOps frame of work and responsibilities Participate in an Agile/Scrum methodology to deliver high-quality software releases every Sprint Collaborate with System Analysts and Product Owners to align business requirements to the functionality of the application Troubleshoot production support issues post-deployment and come up with solutions as required Monitor and assess end to end performance on services by understanding all infrastructure components within the service chain Essential: Experience in 24x7 Production Support and ITSM Practices Hands on distributed server operations (build, break/fix, manage, patching, prod support) 3+ years of application development experience Knowledge of monitoring tools, automation scripts, and overall automation to reduce manual efforts Experience working with Open Source technology such as Git/GitHub, OpenShift, Apache JMeter, or Python Experience working in an Agile CI/CD (Continuous Integration/Continuous Delivery) development environment Experience with writing batch files, PowerShell scripts or UNIX Shell Scripts Excellent written communication skills and ability to document technical content 4 year degree in computer science or equivalent experience Click Apply now/contact Lianne to be considered for the Cloud DevOps Engineer - Dublin role
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Principal Java Risk Management Software Engineer. Candidate will develop and maintain risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. 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, back-testing 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. Qualifications: 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. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. 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 Technical 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. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Principal Java Risk Management Software Engineer. Candidate will develop and maintain risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. 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, back-testing 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. Qualifications: 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. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. 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 Technical 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. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. 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, back-testing 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: 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. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. 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 Technical 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. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. 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, back-testing 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: 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. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. 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 Technical 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. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. 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. Qualifications: 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. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical 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. Education and/or Experience: 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
16/05/2024
Full time
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. 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. Qualifications: 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. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical 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. Education and/or Experience: 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
As a Hadoop Administrator, you will play a crucial role in managing and maintaining our Hadoop ecosystem to ensure optimal performance, reliability, and security. You will collaborate closely with our data engineers, analysts, and other stakeholders to understand their requirements and provide efficient solutions. Your responsibilities will include but are not limited to: Installing, configuring, and maintaining Hadoop clusters, including HDFS, YARN, Hive, HBase, Kafka, Spark, and other related technologies. Monitoring cluster health and performance, diagnosing and troubleshooting issues, and implementing solutions to minimize downtime. Capacity planning and scaling the Hadoop infrastructure to accommodate growing data volumes and user demands. Implementing and enforcing security policies, access controls, and data governance measures to protect sensitive information. Performing regular backups, disaster recovery planning, and data retention policies to ensure data integrity and availability. Collaborating with cross-functional teams to design and implement data pipelines, ETL processes, and data workflows. Evaluating new technologies and upgrades, conducting performance tuning, and optimizing resource utilization for cost efficiency. Providing technical guidance, training, and support to junior team members and end-users to promote best practices and knowledge sharing.
16/05/2024
Project-based
As a Hadoop Administrator, you will play a crucial role in managing and maintaining our Hadoop ecosystem to ensure optimal performance, reliability, and security. You will collaborate closely with our data engineers, analysts, and other stakeholders to understand their requirements and provide efficient solutions. Your responsibilities will include but are not limited to: Installing, configuring, and maintaining Hadoop clusters, including HDFS, YARN, Hive, HBase, Kafka, Spark, and other related technologies. Monitoring cluster health and performance, diagnosing and troubleshooting issues, and implementing solutions to minimize downtime. Capacity planning and scaling the Hadoop infrastructure to accommodate growing data volumes and user demands. Implementing and enforcing security policies, access controls, and data governance measures to protect sensitive information. Performing regular backups, disaster recovery planning, and data retention policies to ensure data integrity and availability. Collaborating with cross-functional teams to design and implement data pipelines, ETL processes, and data workflows. Evaluating new technologies and upgrades, conducting performance tuning, and optimizing resource utilization for cost efficiency. Providing technical guidance, training, and support to junior team members and end-users to promote best practices and knowledge sharing.