Contract - Performance Testing/Automated Test Systems - Java to Python They're going from an old system to a new system, so it is all about automated test systems Test cases Converting Java to Python Python Scripting UC4 is a plus Must have heavy Cloud Kafka is a high plus, but not necessary All about CI/CD and automation LOCATION: CHICAGO - HYBRID 3 DAYS ONSITE C2C SELLING POINTS: Performance testing open source tools like jmeter gatling Perl solid python Scripting familiar with creating modules that multiply transaction (data) multiple platforms store data financial environment Java cloud automation look at Java and convert it to python 20% SDET automation testing QA automation testing using CICD concepts. 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. Analyze business requirements and functional documents and create solid test strategies that define test environment, phases of testing, entrance and exit criteria and help to define the resources and tools needed to execute test cycles. Design, develop and implement automated testing solutions that will be utilized in a parallel testing project (Legacy versus OVAT). 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. This includes extensive knowledge of the platform and the ability to troubleshoot environmental issues that could occur in the new cloud platform in a timely manner. REQUIRED: Python Scripting 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 preferably using cloud foundational services like AWS's VPCs, Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. Languages & Technologies: Java, Python Scripting 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, monitoring tools on-prem and in the Cloud.
19/04/2024
Project-based
Contract - Performance Testing/Automated Test Systems - Java to Python They're going from an old system to a new system, so it is all about automated test systems Test cases Converting Java to Python Python Scripting UC4 is a plus Must have heavy Cloud Kafka is a high plus, but not necessary All about CI/CD and automation LOCATION: CHICAGO - HYBRID 3 DAYS ONSITE C2C SELLING POINTS: Performance testing open source tools like jmeter gatling Perl solid python Scripting familiar with creating modules that multiply transaction (data) multiple platforms store data financial environment Java cloud automation look at Java and convert it to python 20% SDET automation testing QA automation testing using CICD concepts. 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. Analyze business requirements and functional documents and create solid test strategies that define test environment, phases of testing, entrance and exit criteria and help to define the resources and tools needed to execute test cycles. Design, develop and implement automated testing solutions that will be utilized in a parallel testing project (Legacy versus OVAT). 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. This includes extensive knowledge of the platform and the ability to troubleshoot environmental issues that could occur in the new cloud platform in a timely manner. REQUIRED: Python Scripting 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 preferably using cloud foundational services like AWS's VPCs, Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. Languages & Technologies: Java, Python Scripting 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, monitoring tools on-prem and in the Cloud.
Senior Platform Engineer Fully Remote £40,000 - £52,000 per annum Requirements: Ensure the scalability and adaptability of our infrastructure to meet current and future needs. Facilitate smooth integration of business changes into existing infrastructure. Proactively identify and address capacity-related challenges. Offer expert consultancy and guidance. Provide technical support to develop and manage capacity management tools. Enhance our capacity management capabilities through your expertise. Engineer, validate, and implement innovative technical solutions. Collaborate closely with internal and external stakeholders to deliver exceptional customer service. In-depth understanding of end-to-end IT system infrastructure landscapes across on-premises and Cloud environments. Proficiency in analysing infrastructure metrics and data to preemptively mitigate capacity issues and incidents. Hands-on experience in implementing and supporting capacity management solutions, preferably with a robust background in technology operations. Ability to engage effectively with a diverse range of stakeholders, including business counterparts, to grasp growth requirements and support business change initiatives. Experience in developing and integrating toolsets for efficient collection and storage of time-series data. Strong skills in data modelling techniques to forecast future platform risks and challenges. Technical expertise to diagnose and resolve platform issues effectively. Track record of contributing to the delivery of capacity management strategy and roadmap components. Familiarity with capacity management tools such as Grafana, Influx, TCO, or similar. Proficiency in VMware, Linux, and Windows Server environments. Bonus if you have: Background in numeracy or data science. Practical experience in large multi-platform environments. Familiarity with our toolchain, including Openshift/Kubernetes, Docker, GIT, Jenkins, GoCD, and Bash Scripting. Strong programming skills and a developer mindset for automation in languages like Python, Java, or JavaScript. Excellent and diverse experience in Shell script programming across Linux and Windows. Experience working in multidisciplinary agile teams.
19/04/2024
Full time
Senior Platform Engineer Fully Remote £40,000 - £52,000 per annum Requirements: Ensure the scalability and adaptability of our infrastructure to meet current and future needs. Facilitate smooth integration of business changes into existing infrastructure. Proactively identify and address capacity-related challenges. Offer expert consultancy and guidance. Provide technical support to develop and manage capacity management tools. Enhance our capacity management capabilities through your expertise. Engineer, validate, and implement innovative technical solutions. Collaborate closely with internal and external stakeholders to deliver exceptional customer service. In-depth understanding of end-to-end IT system infrastructure landscapes across on-premises and Cloud environments. Proficiency in analysing infrastructure metrics and data to preemptively mitigate capacity issues and incidents. Hands-on experience in implementing and supporting capacity management solutions, preferably with a robust background in technology operations. Ability to engage effectively with a diverse range of stakeholders, including business counterparts, to grasp growth requirements and support business change initiatives. Experience in developing and integrating toolsets for efficient collection and storage of time-series data. Strong skills in data modelling techniques to forecast future platform risks and challenges. Technical expertise to diagnose and resolve platform issues effectively. Track record of contributing to the delivery of capacity management strategy and roadmap components. Familiarity with capacity management tools such as Grafana, Influx, TCO, or similar. Proficiency in VMware, Linux, and Windows Server environments. Bonus if you have: Background in numeracy or data science. Practical experience in large multi-platform environments. Familiarity with our toolchain, including Openshift/Kubernetes, Docker, GIT, Jenkins, GoCD, and Bash Scripting. Strong programming skills and a developer mindset for automation in languages like Python, Java, or JavaScript. Excellent and diverse experience in Shell script programming across Linux and Windows. Experience working in multidisciplinary agile teams.
Senior Platform Engineer Fully Remote £40,000 - £52,000 per annum Requirements: Ensure the scalability and adaptability of our infrastructure to meet current and future needs. Facilitate smooth integration of business changes into existing infrastructure. Proactively identify and address capacity-related challenges. Offer expert consultancy and guidance. Provide technical support to develop and manage capacity management tools. Enhance our capacity management capabilities through your expertise. Engineer, validate, and implement innovative technical solutions. Collaborate closely with internal and external stakeholders to deliver exceptional customer service. In-depth understanding of end-to-end IT system infrastructure landscapes across on-premises and Cloud environments. Proficiency in analysing infrastructure metrics and data to preemptively mitigate capacity issues and incidents. Hands-on experience in implementing and supporting capacity management solutions, preferably with a robust background in technology operations. Ability to engage effectively with a diverse range of stakeholders, including business counterparts, to grasp growth requirements and support business change initiatives. Experience in developing and integrating toolsets for efficient collection and storage of time-series data. Strong skills in data modelling techniques to forecast future platform risks and challenges. Technical expertise to diagnose and resolve platform issues effectively. Track record of contributing to the delivery of capacity management strategy and roadmap components. Familiarity with capacity management tools such as Grafana, Influx, TCO, or similar. Proficiency in VMware, Linux, and Windows Server environments. Bonus if you have: Background in numeracy or data science. Practical experience in large multi-platform environments. Familiarity with our toolchain, including Openshift/Kubernetes, Docker, GIT, Jenkins, GoCD, and Bash Scripting. Strong programming skills and a developer mindset for automation in languages like Python, Java, or JavaScript. Excellent and diverse experience in Shell script programming across Linux and Windows. Experience working in multidisciplinary agile teams.
19/04/2024
Full time
Senior Platform Engineer Fully Remote £40,000 - £52,000 per annum Requirements: Ensure the scalability and adaptability of our infrastructure to meet current and future needs. Facilitate smooth integration of business changes into existing infrastructure. Proactively identify and address capacity-related challenges. Offer expert consultancy and guidance. Provide technical support to develop and manage capacity management tools. Enhance our capacity management capabilities through your expertise. Engineer, validate, and implement innovative technical solutions. Collaborate closely with internal and external stakeholders to deliver exceptional customer service. In-depth understanding of end-to-end IT system infrastructure landscapes across on-premises and Cloud environments. Proficiency in analysing infrastructure metrics and data to preemptively mitigate capacity issues and incidents. Hands-on experience in implementing and supporting capacity management solutions, preferably with a robust background in technology operations. Ability to engage effectively with a diverse range of stakeholders, including business counterparts, to grasp growth requirements and support business change initiatives. Experience in developing and integrating toolsets for efficient collection and storage of time-series data. Strong skills in data modelling techniques to forecast future platform risks and challenges. Technical expertise to diagnose and resolve platform issues effectively. Track record of contributing to the delivery of capacity management strategy and roadmap components. Familiarity with capacity management tools such as Grafana, Influx, TCO, or similar. Proficiency in VMware, Linux, and Windows Server environments. Bonus if you have: Background in numeracy or data science. Practical experience in large multi-platform environments. Familiarity with our toolchain, including Openshift/Kubernetes, Docker, GIT, Jenkins, GoCD, and Bash Scripting. Strong programming skills and a developer mindset for automation in languages like Python, Java, or JavaScript. Excellent and diverse experience in Shell script programming across Linux and Windows. Experience working in multidisciplinary agile teams.
Location: Netherlands, Luxemburg, or anywhere in the EU - Full remote Remote work option Available: Yes, Full Remote Job Description Data provisioning, centered around Wallstreet Suite (WSS) banking software and using Denodo for Data Virtualization, Python platform (Standalone Python Solution) for the data processing and computation, storage solution for output data (Oracle database), extended UI capabilities via an HTML Front End (using ReactJS). The python server will need to scale up horizontally in a dynamic fashion to accommodate increased need for computational capabilities. The tasks/activities will include: Work closely with Citizen Developers from the business side, in the development of a new enterprise analytics platform; Integrate systems and data, design and develop automated solutions; Develop and publish Web Services against Core Packages; Develop and support UI development; Support product owner in day-to-day management of goals, scope, product development actitivities and team coordination; Solution design covering all architecture layers; Ensure full automated test coverage on a unit as well as on integration level; Maintain and enhance the automated build/deploy/release pipelines; Prepare regular project progress reports. The team members must demonstrate experience in: Analysing functional requirements in financial sector and formulating value proposition, Managing IT projects in finance/banking environment, including change management, Cloud computing, React JS knowledge is desirable. The team members must demonstrate knowledge in: Python development Test automation/Test driven development. Experience with Agile development, continuous integration. Datamodelling, querying with SQL.
18/04/2024
Project-based
Location: Netherlands, Luxemburg, or anywhere in the EU - Full remote Remote work option Available: Yes, Full Remote Job Description Data provisioning, centered around Wallstreet Suite (WSS) banking software and using Denodo for Data Virtualization, Python platform (Standalone Python Solution) for the data processing and computation, storage solution for output data (Oracle database), extended UI capabilities via an HTML Front End (using ReactJS). The python server will need to scale up horizontally in a dynamic fashion to accommodate increased need for computational capabilities. The tasks/activities will include: Work closely with Citizen Developers from the business side, in the development of a new enterprise analytics platform; Integrate systems and data, design and develop automated solutions; Develop and publish Web Services against Core Packages; Develop and support UI development; Support product owner in day-to-day management of goals, scope, product development actitivities and team coordination; Solution design covering all architecture layers; Ensure full automated test coverage on a unit as well as on integration level; Maintain and enhance the automated build/deploy/release pipelines; Prepare regular project progress reports. The team members must demonstrate experience in: Analysing functional requirements in financial sector and formulating value proposition, Managing IT projects in finance/banking environment, including change management, Cloud computing, React JS knowledge is desirable. The team members must demonstrate knowledge in: Python development Test automation/Test driven development. Experience with Agile development, continuous integration. Datamodelling, querying with SQL.
Performance Testing - CI/CD - Open Source Tools, Uc4 C2C LOCATION: CHICAGO - HYBRID 3 DAYS ONSITE Long Term Contract Looking for a candidate to do performance testing using open source tools like jmeter, gatling, Perl, solid python Scripting. Familiar with creating modules that multiply transaction (data) multiple platforms store data financial environment Java cloud automation look at Java and convert it to python 20% SDET automation testing QA automation testing using CICD concepts Performance Testing with open-source tools like JMeter, Gatling. Perl Scripting, PowerShell Scripting, solid Python Scripting and Java. 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 preferably using cloud foundational services like AWS's VPCs, Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. 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
17/04/2024
Project-based
Performance Testing - CI/CD - Open Source Tools, Uc4 C2C LOCATION: CHICAGO - HYBRID 3 DAYS ONSITE Long Term Contract Looking for a candidate to do performance testing using open source tools like jmeter, gatling, Perl, solid python Scripting. Familiar with creating modules that multiply transaction (data) multiple platforms store data financial environment Java cloud automation look at Java and convert it to python 20% SDET automation testing QA automation testing using CICD concepts Performance Testing with open-source tools like JMeter, Gatling. Perl Scripting, PowerShell Scripting, solid Python Scripting and Java. 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 preferably using cloud foundational services like AWS's VPCs, Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. 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
Contract - UC4 Automation Engineer Rate: Open Location: Chicago, IL Hybrid: 3 days on-site, 2 days remote Qualifications Python Scripting 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 preferably using cloud foundational services like AWS's VPCs, Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. 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 Responsibilities 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.
16/04/2024
Project-based
Contract - UC4 Automation Engineer Rate: Open Location: Chicago, IL Hybrid: 3 days on-site, 2 days remote Qualifications Python Scripting 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 preferably using cloud foundational services like AWS's VPCs, Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. 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 Responsibilities 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.