This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a financial consulting firm that partners with capital, commodity, and digital market participants. We value differentiation through technology. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintech and capital market service providers. With a global reach with offices in London, New York, Barcelona and Montreal, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions. We are looking for a Senior Software Development Engineer in Test to join our team and help develop our open-source and proprietary platform products. YOU ARE: Self-directed, with the ability to define and manage priorities independently. A great team player who loves sharing knowledge and learning from others. A problem solver with strong analytical skills and a JVM enthusiast. Excited about learning new things and keeping up to date. Happy to work in a test-driven and Agile development fashion. YOU HAVE : Strong understanding of QA methodologies, shift-left practices, and the full software development lifecycle (TDD, BDD, Scrum, Kanban). Mastery of Java, with a focus on automated testing, root cause analysis, and debugging. Comfortable implementing tests across the full test stack: unit, component, integration, system, and E2E. Experience in uncovering complex edge cases through exploratory testing. Confident in translating feature specifications into appropriate test coverage and test plans. Working knowledge of BDD practices, including story refinement, example mapping, acceptance criteria definition, and 3 Amigos. Comfortable using existing code and tests to understand system behaviour. Practical knowledge of application profiling to identify performance and memory bottlenecks. Familiar with defining quality metrics, telemetry, and reporting dashboards. Hands-on exposure to chaos testing to validate system fault tolerance and reliability. Experience in integrating test runs and static code analysis tools into CI/CD pipelines. Working knowledge of maintaining CI/CD pipeline health, with a focus on minimising false positives and maintaining reliable feedback. Background in building containerised test environments with Docker and Kubernetes. Practical familiarity with observability and monitoring platforms. Understanding of performance and load testing for distributed pub/sub low-latency messaging technologies. Knowledge of AI tooling applications within QA workflows to improve coverage, efficiency and defect detection. Exposure to cloud platforms such as AWS, GCP, Azure, and OpenShift. Financial services or trading domain experience is a nice to have. Strong communication and collaboration skills, with confidence engaging internal and external stakeholders. YOU WILL : Propose and enhance project's test plans with focus on test automation approach. Work on technically challenging quality engineering problems across code, tests, and CI/CD pipelines. Confidently leverage your experience in questioning and challenging existing practices while actively promoting QA best practices. Encourage a mindset/culture by educating your team that quality is everyone's responsibility and focusing your time on value-add testing tasks, rather than routine checks. Design, maintain and execute test cases and provide your analysis on the results. Build a solid understanding on business, technical and operational requirements. Follow and suggest improvements to the quality assurance process. Collaborate with other QAs, BAs and DEV team to enhance automated tests and get maximum test coverage. Work with Dev and DevOps team to improve our test automation tools and solutions. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive ) You can learn from anyone here, which is the beauty of it. To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT DO PEOPLE THINK OF US: You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): We create benefits with YOU in mind. A competitive salary 23 days of vacations 50% of the cost for group insurance which includes health, dental, life insurance and short or long-term disabilities up to 5% of your annual salary as a pension plan contribution, if you contribute the same 50% of your public transportation monthly pass Personal Spending Account (PSA) Hybrid working model THE HIRING PROCESS: Long interview processes are stressful and boring, and that is not us We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A zoom chat with one of our QA colleagues where they will ask you detailed questions about QA knowledge and your experience 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper, and you will have a technical task to do. But don't worry; everything will be explained to you step by step by your recruiter. Here is a little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY AND INCLUSION : Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles Background check: The employment is subject to an acceptable background check that will be run by Adaptive.
11/14/2026
Full time
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a financial consulting firm that partners with capital, commodity, and digital market participants. We value differentiation through technology. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintech and capital market service providers. With a global reach with offices in London, New York, Barcelona and Montreal, we have a proven track record of delivering powerful, elegant and intuitive trading technology solutions. We are looking for a Senior Software Development Engineer in Test to join our team and help develop our open-source and proprietary platform products. YOU ARE: Self-directed, with the ability to define and manage priorities independently. A great team player who loves sharing knowledge and learning from others. A problem solver with strong analytical skills and a JVM enthusiast. Excited about learning new things and keeping up to date. Happy to work in a test-driven and Agile development fashion. YOU HAVE : Strong understanding of QA methodologies, shift-left practices, and the full software development lifecycle (TDD, BDD, Scrum, Kanban). Mastery of Java, with a focus on automated testing, root cause analysis, and debugging. Comfortable implementing tests across the full test stack: unit, component, integration, system, and E2E. Experience in uncovering complex edge cases through exploratory testing. Confident in translating feature specifications into appropriate test coverage and test plans. Working knowledge of BDD practices, including story refinement, example mapping, acceptance criteria definition, and 3 Amigos. Comfortable using existing code and tests to understand system behaviour. Practical knowledge of application profiling to identify performance and memory bottlenecks. Familiar with defining quality metrics, telemetry, and reporting dashboards. Hands-on exposure to chaos testing to validate system fault tolerance and reliability. Experience in integrating test runs and static code analysis tools into CI/CD pipelines. Working knowledge of maintaining CI/CD pipeline health, with a focus on minimising false positives and maintaining reliable feedback. Background in building containerised test environments with Docker and Kubernetes. Practical familiarity with observability and monitoring platforms. Understanding of performance and load testing for distributed pub/sub low-latency messaging technologies. Knowledge of AI tooling applications within QA workflows to improve coverage, efficiency and defect detection. Exposure to cloud platforms such as AWS, GCP, Azure, and OpenShift. Financial services or trading domain experience is a nice to have. Strong communication and collaboration skills, with confidence engaging internal and external stakeholders. YOU WILL : Propose and enhance project's test plans with focus on test automation approach. Work on technically challenging quality engineering problems across code, tests, and CI/CD pipelines. Confidently leverage your experience in questioning and challenging existing practices while actively promoting QA best practices. Encourage a mindset/culture by educating your team that quality is everyone's responsibility and focusing your time on value-add testing tasks, rather than routine checks. Design, maintain and execute test cases and provide your analysis on the results. Build a solid understanding on business, technical and operational requirements. Follow and suggest improvements to the quality assurance process. Collaborate with other QAs, BAs and DEV team to enhance automated tests and get maximum test coverage. Work with Dev and DevOps team to improve our test automation tools and solutions. WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive ) You can learn from anyone here, which is the beauty of it. To take part in the growth and development of a great company. Our teams feel free to speak up, make suggestions and raise concerns. Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us. We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes. WHAT DO PEOPLE THINK OF US: You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ): We create benefits with YOU in mind. A competitive salary 23 days of vacations 50% of the cost for group insurance which includes health, dental, life insurance and short or long-term disabilities up to 5% of your annual salary as a pension plan contribution, if you contribute the same 50% of your public transportation monthly pass Personal Spending Account (PSA) Hybrid working model THE HIRING PROCESS: Long interview processes are stressful and boring, and that is not us We want to make sure that everything runs smoothly. So here you will have three-stage interviews: 1- A chat with one of our great recruiters. 2- A zoom chat with one of our QA colleagues where they will ask you detailed questions about QA knowledge and your experience 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper, and you will have a technical task to do. But don't worry; everything will be explained to you step by step by your recruiter. Here is a little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc DIVERSITY AND INCLUSION : Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles Background check: The employment is subject to an acceptable background check that will be run by Adaptive.
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PIa1cddeae87ed-3112
11/14/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PIa1cddeae87ed-3112
Job Description Job Description About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is hiring a DevSecOps Engineer to design, build, and manage the infrastructure foundations of our software factory environments. This role emphasizes infrastructure-as-code, Kubernetes automation, and GitOps delivery practices in support of critical defense programs. You'll work hands-on with containerization, CI/CD pipelines, and secure multi-cloud environments while implementing DoD hardening standards. Role Responsibilities: Develop and maintain infrastructure using Terraform and infrastructure-as-code practices Author Dockerfiles and deploy workloads to Kubernetes clusters using Helm Implement and manage GitOps workflows and automated cluster configuration management Harden clusters and base images per DoD guidance including STIG and Iron Bank standards Support networking, policy enforcement, and secrets management in secure multi-cloud environments Troubleshoot complex infrastructure issues and implement solutions independently Administer and maintain Linux-based systems in production environments Collaborate with development and security teams to ensure seamless CI/CD pipeline operations Required Qualifications: U.S. Citizenship and a security clearance (secret or above) Experience with Containerization and Kubernetes Terraform experience Helm experience CI/CD Experience (GitLab preferred) Strong troubleshooting skills Self-starter with ability to work independently Familiarity with administering Linux Systems Preferred Qualifications: Experience with Renovate Familiarity with DoD Security Requirements Guide (SRG) Familiarity with DoD DevSecOps Reference Guide Familiarity with Windows server administration and automation Experience with RHEL and RHEL-based Linux distributions Hands-on experience with FluxCD or similar GitOps tools Experience with policy-as-code frameworks (OPA) Understanding of DoD Cloud SRG and container hardening practices What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PI2ef902f9319a-7430
11/14/2026
Full time
Job Description Job Description About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is hiring a DevSecOps Engineer to design, build, and manage the infrastructure foundations of our software factory environments. This role emphasizes infrastructure-as-code, Kubernetes automation, and GitOps delivery practices in support of critical defense programs. You'll work hands-on with containerization, CI/CD pipelines, and secure multi-cloud environments while implementing DoD hardening standards. Role Responsibilities: Develop and maintain infrastructure using Terraform and infrastructure-as-code practices Author Dockerfiles and deploy workloads to Kubernetes clusters using Helm Implement and manage GitOps workflows and automated cluster configuration management Harden clusters and base images per DoD guidance including STIG and Iron Bank standards Support networking, policy enforcement, and secrets management in secure multi-cloud environments Troubleshoot complex infrastructure issues and implement solutions independently Administer and maintain Linux-based systems in production environments Collaborate with development and security teams to ensure seamless CI/CD pipeline operations Required Qualifications: U.S. Citizenship and a security clearance (secret or above) Experience with Containerization and Kubernetes Terraform experience Helm experience CI/CD Experience (GitLab preferred) Strong troubleshooting skills Self-starter with ability to work independently Familiarity with administering Linux Systems Preferred Qualifications: Experience with Renovate Familiarity with DoD Security Requirements Guide (SRG) Familiarity with DoD DevSecOps Reference Guide Familiarity with Windows server administration and automation Experience with RHEL and RHEL-based Linux distributions Hands-on experience with FluxCD or similar GitOps tools Experience with policy-as-code frameworks (OPA) Understanding of DoD Cloud SRG and container hardening practices What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PI2ef902f9319a-7430
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Software Quality Assurance Manager Description - T his role is responsible for overseeing and managing the software quality assurance process within the organization or a video collaboration project. This is a hands on role that involves setting quality standards, defining testing strategy, leading QA team, executing the test plan, helping with test automation and ensuring that software products meet the highest levels of quality and reliability. The role works closely with cross-functional teams, including developers, product managers, and business stakeholders, to drive continuous improvement in the software development and testing processes. Onsite in Ft Collins 5-days a week Responsibilities • Provides direct and ongoing leadership for a team of individual contributors designing and implementing quality assurance and test processes and coordinating projects for end-user video conferencing application, systems software, running on hardware, local, networked, and Internet-based platforms. • Defines QA processes, methodologies, and best practices to ensure consistent and effective testing across projects. • Develops and implements a comprehensive QA strategy that aligns with the organization's goals and objectives. • Evaluates and improves QA processes to enhance efficiency, effectiveness, and automation of testing activities. • Perform Functional and Solution Testing of Video/Collaboration Software • Additionally, codes and programs test scripts, automation, and integration activities based on specific test requirements. • Conducts functional, integration, regression, and performance testing to validate software functionality. • Automates testing processes using appropriate tools and frameworks to improve efficiency and repeatability. • Monitors and enforces adherence to established coding standards, design guidelines, and best practices. • Monitors software performance and conducts load and stress testing to identify bottlenecks and performance issues. • Prepares and maintains QA-related documentation, including test plans, test matrices, and testing reports. • Communicates QA progress, results, and challenges to leadership, project teams, and other relevant stakeholders. • Collaborates with external vendors and partners to ensure the quality of outsourced or third-party software components. • Proactively identifies opportunities for process improvement and cost reduction. • Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development. • Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development. • Work from Office in Fort Collins, Colorado Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Software Engineering, Information Systems, Information Technology, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of job-related experience and 3+ years of management experience, preferably in software quality assurance, test harnesses and QA focused tools, or a related field. Preferred Certifications • Certified Software Quality Engineer • Certified Associate in Software Quality (CASQ) • Certified Software Test Engineer (CSTE) Knowledge & Skills • Agile Methodology • Application Programming Interface (API) • Automation • CI/CD • Computer Science • Copilot AI or equivalent • Debugging • Jenkins • JIRA • Python (Programming Language) • Scripting • FAST/Scrum (Software Development) • Security • SIP Protocol • Software Development • Software Engineering • Software Quality (SQA/SQC) • Software Testing • Test Automation • Test Planning • Test Rail test case management • Video Software The pay range for this role is $116,150 to $182,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job Posting Expiration Date: 11/10/26 Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Software Quality Assurance Manager Description - T his role is responsible for overseeing and managing the software quality assurance process within the organization or a video collaboration project. This is a hands on role that involves setting quality standards, defining testing strategy, leading QA team, executing the test plan, helping with test automation and ensuring that software products meet the highest levels of quality and reliability. The role works closely with cross-functional teams, including developers, product managers, and business stakeholders, to drive continuous improvement in the software development and testing processes. Onsite in Ft Collins 5-days a week Responsibilities • Provides direct and ongoing leadership for a team of individual contributors designing and implementing quality assurance and test processes and coordinating projects for end-user video conferencing application, systems software, running on hardware, local, networked, and Internet-based platforms. • Defines QA processes, methodologies, and best practices to ensure consistent and effective testing across projects. • Develops and implements a comprehensive QA strategy that aligns with the organization's goals and objectives. • Evaluates and improves QA processes to enhance efficiency, effectiveness, and automation of testing activities. • Perform Functional and Solution Testing of Video/Collaboration Software • Additionally, codes and programs test scripts, automation, and integration activities based on specific test requirements. • Conducts functional, integration, regression, and performance testing to validate software functionality. • Automates testing processes using appropriate tools and frameworks to improve efficiency and repeatability. • Monitors and enforces adherence to established coding standards, design guidelines, and best practices. • Monitors software performance and conducts load and stress testing to identify bottlenecks and performance issues. • Prepares and maintains QA-related documentation, including test plans, test matrices, and testing reports. • Communicates QA progress, results, and challenges to leadership, project teams, and other relevant stakeholders. • Collaborates with external vendors and partners to ensure the quality of outsourced or third-party software components. • Proactively identifies opportunities for process improvement and cost reduction. • Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development. • Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development. • Work from Office in Fort Collins, Colorado Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Software Engineering, Information Systems, Information Technology, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of job-related experience and 3+ years of management experience, preferably in software quality assurance, test harnesses and QA focused tools, or a related field. Preferred Certifications • Certified Software Quality Engineer • Certified Associate in Software Quality (CASQ) • Certified Software Test Engineer (CSTE) Knowledge & Skills • Agile Methodology • Application Programming Interface (API) • Automation • CI/CD • Computer Science • Copilot AI or equivalent • Debugging • Jenkins • JIRA • Python (Programming Language) • Scripting • FAST/Scrum (Software Development) • Security • SIP Protocol • Software Development • Software Engineering • Software Quality (SQA/SQC) • Software Testing • Test Automation • Test Planning • Test Rail test case management • Video Software The pay range for this role is $116,150 to $182,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job Posting Expiration Date: 11/10/26 Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 The Role: Lead, Software Engineer Location: Hybrid setting role, 2 days per week onsite on NYC or Princeton, NJ About the Role: S&P Dow Jones Indices is a leader in benchmarks and investable indices, providing indispensable solutions to institutional clients. We are seeking a Lead Software Engineer for our indices prototyping platform. The ideal candidate is a highly skilled developer with experience in designing and implementing large-scale distributed systems that handle complex calculations and are deployed to cloud infrastructure. This role is pivotal in advancing S&P Global's capabilities in delivering high-quality indices and benchmarks. The Team: The Lead Software Engineer will collaborate with a team of seasoned Software Engineers, contributing to the development of robust and scalable solutions that meet the evolving needs of our institutional clients. This team is dedicated to fostering an environment of innovation and continuous improvement, where creative problem-solving and cutting-edge technology solutions are at the forefront. As part of this collaborative effort, the Lead Software Engineer will work on implementing high-quality solutions and contribute to the overall development direction of the platform. Additionally, the team values open communication and encourages the sharing of ideas and best practices, creating a supportive atmosphere for professional growth and development. Responsibilities include: Lead the design, development, and deployment of applications using modern programming languages and frameworks. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Develop and implement applications that are highly scalable and fault-tolerant. Utilize cloud services for application deployments. Implement containerization strategies for applications. Develop user interfaces using modern front-end technologies. Mentor junior developers and provide technical guidance. Stay up-to-date with emerging technologies and industry trends. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $120,000 - $150,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. What We're Looking For: Basic Required Qualifications: Ideal candidate should have 8+ years of strong Java experience in designing, developing, testing and successfully deploying critical and complex projects. Must have strong Java skills with experience in development of concurrent and distributed systems. Should have experience working in Java 8 features especially Streams API. Must have 5 + yrs. advanced experience with Spring-based technologies (Spring Boot, Spring Cloud etc.) and caching frameworks like Hazelcast. Must have 5 + yrs. SQL knowledge and experience. Role requires experience in designing and implementing micro services based solutions; and experience writing unit/integration tests; writing SQL queries with a good understanding of data model. Should possess exposure of AWS cloud (EC2, ECS, Load Balancer, Security Group, Lambda, S3, etc.). Strong analytical and problem solving skills. Bachelor's degree in Computer Science, Information Technology, or a related field. Additional Preferred Qualifications: Master's degree in Computer Science or related field. Experience with CI/CD pipelines and DevOps practices. Experience with Agile/Scrum methodologies. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 The Role: Lead, Software Engineer Location: Hybrid setting role, 2 days per week onsite on NYC or Princeton, NJ About the Role: S&P Dow Jones Indices is a leader in benchmarks and investable indices, providing indispensable solutions to institutional clients. We are seeking a Lead Software Engineer for our indices prototyping platform. The ideal candidate is a highly skilled developer with experience in designing and implementing large-scale distributed systems that handle complex calculations and are deployed to cloud infrastructure. This role is pivotal in advancing S&P Global's capabilities in delivering high-quality indices and benchmarks. The Team: The Lead Software Engineer will collaborate with a team of seasoned Software Engineers, contributing to the development of robust and scalable solutions that meet the evolving needs of our institutional clients. This team is dedicated to fostering an environment of innovation and continuous improvement, where creative problem-solving and cutting-edge technology solutions are at the forefront. As part of this collaborative effort, the Lead Software Engineer will work on implementing high-quality solutions and contribute to the overall development direction of the platform. Additionally, the team values open communication and encourages the sharing of ideas and best practices, creating a supportive atmosphere for professional growth and development. Responsibilities include: Lead the design, development, and deployment of applications using modern programming languages and frameworks. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Develop and implement applications that are highly scalable and fault-tolerant. Utilize cloud services for application deployments. Implement containerization strategies for applications. Develop user interfaces using modern front-end technologies. Mentor junior developers and provide technical guidance. Stay up-to-date with emerging technologies and industry trends. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $120,000 - $150,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. What We're Looking For: Basic Required Qualifications: Ideal candidate should have 8+ years of strong Java experience in designing, developing, testing and successfully deploying critical and complex projects. Must have strong Java skills with experience in development of concurrent and distributed systems. Should have experience working in Java 8 features especially Streams API. Must have 5 + yrs. advanced experience with Spring-based technologies (Spring Boot, Spring Cloud etc.) and caching frameworks like Hazelcast. Must have 5 + yrs. SQL knowledge and experience. Role requires experience in designing and implementing micro services based solutions; and experience writing unit/integration tests; writing SQL queries with a good understanding of data model. Should possess exposure of AWS cloud (EC2, ECS, Load Balancer, Security Group, Lambda, S3, etc.). Strong analytical and problem solving skills. Bachelor's degree in Computer Science, Information Technology, or a related field. Additional Preferred Qualifications: Master's degree in Computer Science or related field. Experience with CI/CD pipelines and DevOps practices. Experience with Agile/Scrum methodologies. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer . click apply for full job details
Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
11/13/2026
Full time
Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
Job Title: Lead Data Engineer - Advanced Location: Columbus, OH Duration: Contract to hire, 6+ months Pay Range: $75.00/hr - $82.00/hr (W2) About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Lead Data Engineer to join our team. The ideal candidate will have strong experience in Java, Python, AWS, Apache Spark, and large-scale ETL/ELT data engineering and a proven ability to design and deliver high-quality data platforms, optimize performance, and lead AI-assisted engineering adoption. Responsibilities: Execute creative software solutions, including design, development, and technical troubleshooting for complex data challenges. Drive team adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards including secure coding, peer review, and automated testing. Apply SDLC toolchain and automation, including AI-assisted development capabilities, to increase delivery value. Lead architecture and hands-on delivery of large-scale ETL/ELT pipelines across ingestion, transformation, validation, reconciliation, and publishing. Design and operationalize data lake patterns including partitioning, data quality controls, lineage, governance, and reusable datasets. Build and optimize distributed processing workloads using Apache Spark and modern formats such as Parquet and Avro. Drive performance tuning across compute and storage, including Spark tuning for shuffle, joins, caching, and skew handling. Implement engineering best practices including code quality, automated testing, CI/CD, observability, security-by-design, and operational readiness. Build and maintain Java-based services supporting data workflows, including ingestion services, orchestration helpers, APIs, and data access layers. Develop REST APIs and integration components to enable downstream consumption and platform interoperability. Apply modern application practices including clean architecture, SOLID principles, test automation, and secure coding. Required Skills & Qualifications: Formal training or certification in software engineering and 5+ years of applied experience. 10+ years of software engineering experience with depth in data engineering and big data platforms. Strong hands-on development experience in Java and proficiency in Python. Proven experience designing and building robust ETL/ELT pipelines and data integration frameworks. Strong experience with Apache Spark, distributed processing concepts, and performance tuning. Knowledge of data storage serialization and formats such as Parquet and Avro. Solid understanding of data lake and lakehouse concepts, including data quality, metadata, and governance. Experience with cloud data warehouses such as Snowflake or equivalent. Demonstrated experience leading responsible use of AI-assisted development tools and setting validation standards for correctness, performance, and security. Ability to lead technical discussions, communicate across stakeholders, and drive delivery in cross-functional environments. Preferred Skills: Experience with orchestration and workflow scheduling tools such as Airflow, Dagster, or Control-M. Exposure to streaming and event-driven processing, including Kafka and Spark Structured Streaming, and incremental processing patterns such as CDC and upserts. Experience with table formats and ACID layers such as Delta Lake, Apache Iceberg, Hudi. Strong production operations mindset covering on-call, SLAs/SLOs, observability, and incident response. Experience in regulated environments including risk, audit, compliance, privacy, and PII handling. Experience with cost optimization and FinOps practices for data platforms. Experience working with Agentic AI and Gen AI solutions and capabilities. Must Have Summary: Python and Java. ETL pipeline design and development. AWS. AI tool experience in engineering workflows. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
11/13/2026
Full time
Job Title: Lead Data Engineer - Advanced Location: Columbus, OH Duration: Contract to hire, 6+ months Pay Range: $75.00/hr - $82.00/hr (W2) About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Lead Data Engineer to join our team. The ideal candidate will have strong experience in Java, Python, AWS, Apache Spark, and large-scale ETL/ELT data engineering and a proven ability to design and deliver high-quality data platforms, optimize performance, and lead AI-assisted engineering adoption. Responsibilities: Execute creative software solutions, including design, development, and technical troubleshooting for complex data challenges. Drive team adoption of enterprise-authorized AI-assisted engineering practices and establish validation standards including secure coding, peer review, and automated testing. Apply SDLC toolchain and automation, including AI-assisted development capabilities, to increase delivery value. Lead architecture and hands-on delivery of large-scale ETL/ELT pipelines across ingestion, transformation, validation, reconciliation, and publishing. Design and operationalize data lake patterns including partitioning, data quality controls, lineage, governance, and reusable datasets. Build and optimize distributed processing workloads using Apache Spark and modern formats such as Parquet and Avro. Drive performance tuning across compute and storage, including Spark tuning for shuffle, joins, caching, and skew handling. Implement engineering best practices including code quality, automated testing, CI/CD, observability, security-by-design, and operational readiness. Build and maintain Java-based services supporting data workflows, including ingestion services, orchestration helpers, APIs, and data access layers. Develop REST APIs and integration components to enable downstream consumption and platform interoperability. Apply modern application practices including clean architecture, SOLID principles, test automation, and secure coding. Required Skills & Qualifications: Formal training or certification in software engineering and 5+ years of applied experience. 10+ years of software engineering experience with depth in data engineering and big data platforms. Strong hands-on development experience in Java and proficiency in Python. Proven experience designing and building robust ETL/ELT pipelines and data integration frameworks. Strong experience with Apache Spark, distributed processing concepts, and performance tuning. Knowledge of data storage serialization and formats such as Parquet and Avro. Solid understanding of data lake and lakehouse concepts, including data quality, metadata, and governance. Experience with cloud data warehouses such as Snowflake or equivalent. Demonstrated experience leading responsible use of AI-assisted development tools and setting validation standards for correctness, performance, and security. Ability to lead technical discussions, communicate across stakeholders, and drive delivery in cross-functional environments. Preferred Skills: Experience with orchestration and workflow scheduling tools such as Airflow, Dagster, or Control-M. Exposure to streaming and event-driven processing, including Kafka and Spark Structured Streaming, and incremental processing patterns such as CDC and upserts. Experience with table formats and ACID layers such as Delta Lake, Apache Iceberg, Hudi. Strong production operations mindset covering on-call, SLAs/SLOs, observability, and incident response. Experience in regulated environments including risk, audit, compliance, privacy, and PII handling. Experience with cost optimization and FinOps practices for data platforms. Experience working with Agentic AI and Gen AI solutions and capabilities. Must Have Summary: Python and Java. ETL pipeline design and development. AWS. AI tool experience in engineering workflows. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more. Basic Qualifications: 5+ years of experience in data analytics, data engineering, or business intelligence Expert-level SQL proficiency - complex joins, window functions, CTEs, subqueries, query optimization, and performance tuning in Client Redshift or similar MPP databases Demonstrated experience conducting RCA, implementing fixes, and building enhancements on data pipelines, reports, and analytics systems Proven ability to convert business requirements into technical data solutions - pipeline logic, SQL transformations, report builds, and data model changes Deep experience creating dashboards, reports, analyses, and datasets using BI tools - Client QuickSight strongly preferred; Tableau, Power BI, or similar also acceptable Proven ability to work with business stakeholders to define metrics and KPIs, and drive the build of reporting solutions Strong understanding of data integration and ETL/ELT concepts - extraction patterns, transformation logic, load strategies, incremental vs. full refresh, CDC, and pipeline architecture Deep knowledge of data warehouse and data mart design - star schema, snowflake schema, fact/dimension tables, slowly changing dimensions, and aggregation layers Hands-on experience with Apache Airflow - ability to read DAG code, understand task dependencies, troubleshoot failures, and drive fixes with engineering teams Strong Python programming skills (pandas, boto3, SQL libraries, automation scripting) Working knowledge of AWS cloud services (Redshift, S3, Glue, Athena, Lambda) Track record of collaborating with engineering teams to drive data requirements and solution design. V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.
11/13/2026
Full time
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more. Basic Qualifications: 5+ years of experience in data analytics, data engineering, or business intelligence Expert-level SQL proficiency - complex joins, window functions, CTEs, subqueries, query optimization, and performance tuning in Client Redshift or similar MPP databases Demonstrated experience conducting RCA, implementing fixes, and building enhancements on data pipelines, reports, and analytics systems Proven ability to convert business requirements into technical data solutions - pipeline logic, SQL transformations, report builds, and data model changes Deep experience creating dashboards, reports, analyses, and datasets using BI tools - Client QuickSight strongly preferred; Tableau, Power BI, or similar also acceptable Proven ability to work with business stakeholders to define metrics and KPIs, and drive the build of reporting solutions Strong understanding of data integration and ETL/ELT concepts - extraction patterns, transformation logic, load strategies, incremental vs. full refresh, CDC, and pipeline architecture Deep knowledge of data warehouse and data mart design - star schema, snowflake schema, fact/dimension tables, slowly changing dimensions, and aggregation layers Hands-on experience with Apache Airflow - ability to read DAG code, understand task dependencies, troubleshoot failures, and drive fixes with engineering teams Strong Python programming skills (pandas, boto3, SQL libraries, automation scripting) Working knowledge of AWS cloud services (Redshift, S3, Glue, Athena, Lambda) Track record of collaborating with engineering teams to drive data requirements and solution design. V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.
Job Description Job Description Benefits: Bonus based on performance Competitive salary Employee discounts Java Full Stack Developer with Agentic AI Job Title: Software Engineer - Agentic AI / Full Stack Job Type: W2 Contract Visa Status: Genuine GC and US Citizens Location: Columbus, OH Client: Cognizant Job Summary We are seeking a skilled Software Engineer with experience in Agentic AI, Large Language Models (LLMs/SLMs), full-stack development, and cloud-native application engineering to build and deliver production-grade AI-powered solutions. The ideal candidate will have hands-on experience integrating AI capabilities into enterprise applications using technologies such as RAG, Model Context Protocol (MCP), and agent orchestration frameworks. This role combines modern frontend development with React and TypeScript/JavaScript, backend engineering using Java and Spring Boot, and scalable microservices deployed on AWS. You will collaborate with cross-functional teams to design, develop, deploy, and operate secure, reliable, and scalable AI-driven applications that solve real-world business problems. Required Skills & Qualifications Strong software engineering experience building and supporting production-grade applications. Hands-on experience with Agentic AI, LLMs/SLMs, RAG, MCP, and/or agent orchestration frameworks . Strong frontend development experience with React and TypeScript/JavaScript . Backend development experience using Java, Spring Boot, and microservices architecture . Experience designing and deploying applications on AWS . Hands-on experience with Docker, Kubernetes, serverless computing, and event-driven architectures . Experience developing and maintaining CI/CD pipelines using Jenkins, Spinnaker, or similar tools . Knowledge of automated testing, performance testing, and load testing practices. Experience with application monitoring and observability tools such as Splunk and Dynatrace . Strong problem-solving, analytical, communication, and collaboration skills. Ability to work effectively with cross-functional engineering and business teams. Preferred Qualifications Experience with Python for LLM engineering, data processing, automation, and developing lightweight services. Experience building AI evaluation frameworks, testing harnesses, or automated evaluation workflows. Familiarity with enterprise AI integration, secure application development, and production deployment of AI-powered solutions. Experience working in Agile development environments and delivering solutions at enterprise scale. What You'll Do in This Role You will help bridge the gap between AI innovation and production software engineering by building intelligent applications that combine modern AI capabilities, full-stack development, and scalable cloud infrastructure. If you enjoy solving complex engineering challenges and building reliable, AI-powered products, we encourage you to apply.
11/13/2026
Full time
Job Description Job Description Benefits: Bonus based on performance Competitive salary Employee discounts Java Full Stack Developer with Agentic AI Job Title: Software Engineer - Agentic AI / Full Stack Job Type: W2 Contract Visa Status: Genuine GC and US Citizens Location: Columbus, OH Client: Cognizant Job Summary We are seeking a skilled Software Engineer with experience in Agentic AI, Large Language Models (LLMs/SLMs), full-stack development, and cloud-native application engineering to build and deliver production-grade AI-powered solutions. The ideal candidate will have hands-on experience integrating AI capabilities into enterprise applications using technologies such as RAG, Model Context Protocol (MCP), and agent orchestration frameworks. This role combines modern frontend development with React and TypeScript/JavaScript, backend engineering using Java and Spring Boot, and scalable microservices deployed on AWS. You will collaborate with cross-functional teams to design, develop, deploy, and operate secure, reliable, and scalable AI-driven applications that solve real-world business problems. Required Skills & Qualifications Strong software engineering experience building and supporting production-grade applications. Hands-on experience with Agentic AI, LLMs/SLMs, RAG, MCP, and/or agent orchestration frameworks . Strong frontend development experience with React and TypeScript/JavaScript . Backend development experience using Java, Spring Boot, and microservices architecture . Experience designing and deploying applications on AWS . Hands-on experience with Docker, Kubernetes, serverless computing, and event-driven architectures . Experience developing and maintaining CI/CD pipelines using Jenkins, Spinnaker, or similar tools . Knowledge of automated testing, performance testing, and load testing practices. Experience with application monitoring and observability tools such as Splunk and Dynatrace . Strong problem-solving, analytical, communication, and collaboration skills. Ability to work effectively with cross-functional engineering and business teams. Preferred Qualifications Experience with Python for LLM engineering, data processing, automation, and developing lightweight services. Experience building AI evaluation frameworks, testing harnesses, or automated evaluation workflows. Familiarity with enterprise AI integration, secure application development, and production deployment of AI-powered solutions. Experience working in Agile development environments and delivering solutions at enterprise scale. What You'll Do in This Role You will help bridge the gap between AI innovation and production software engineering by building intelligent applications that combine modern AI capabilities, full-stack development, and scalable cloud infrastructure. If you enjoy solving complex engineering challenges and building reliable, AI-powered products, we encourage you to apply.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI Systems Evaluation Engineer Description - This role is responsible for defining measurement methodology and benchmarks to quantify customer outcomes, platform performance, and AI workload effectiveness ensuring the technical design, development, installation, and maintenance of state-of-the-art software applications and services for our products. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. The role builds & maintains relationships with stakeholders across different departments and provide guidance & coaching to reportees in executing their tasks/responsibilities. Houston in-office requirement: 4-days Responsibilities • Define success metrics. • Create benchmarking frameworks. • Analyze customer outcomes. • Produce executive performance reports. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Interacts with user management regarding project status and user requirements to promote an environment with improved productivity and satisfaction. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. • Identifies, recommends and implements changes to enhance effectiveness of engineering, implementation and service strategies Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Statistics, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong analytical skills • Experience with benchmarking methodologies Preferred Qualifications AI systems evaluation. Telemetry analytics Performance benchmarking. Linux and Windows validation experience Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI Systems Evaluation Engineer Description - This role is responsible for defining measurement methodology and benchmarks to quantify customer outcomes, platform performance, and AI workload effectiveness ensuring the technical design, development, installation, and maintenance of state-of-the-art software applications and services for our products. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. The role builds & maintains relationships with stakeholders across different departments and provide guidance & coaching to reportees in executing their tasks/responsibilities. Houston in-office requirement: 4-days Responsibilities • Define success metrics. • Create benchmarking frameworks. • Analyze customer outcomes. • Produce executive performance reports. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Interacts with user management regarding project status and user requirements to promote an environment with improved productivity and satisfaction. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. • Identifies, recommends and implements changes to enhance effectiveness of engineering, implementation and service strategies Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Statistics, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong analytical skills • Experience with benchmarking methodologies Preferred Qualifications AI systems evaluation. Telemetry analytics Performance benchmarking. Linux and Windows validation experience Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PIa1cddeae87ed-3112
11/13/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies seeks a DevSecOps Engineer (Azure/AI) to support secure cloud architecture and AI-enabled services within our defense programs. This engineer will serve as the team's Azure subject matter expert, responsible for IL4/IL5 landing zones and compliant managed service adoption. This position is located onsite at Redstone Arsenal in Huntsville, AL. Role Responsibilities: Design and implement IL4/IL5-compliant Azure landing zones with comprehensive networking, identity, and logging configurations Manage Azure Kubernetes Service (AKS) clusters using GitOps principles with FluxCD and Helm Author and maintain Terraform modules for Azure infrastructure automation Integrate Entra ID and Keycloak for secure access management and authentication Implement AI workloads including Azure OpenAI and Cognitive Services within secure boundaries Ensure compliance with NIST 800-171 for Controlled Unclassified Information (CUI) and Cloud SRG IL4/IL5 requirements Provide technical leadership and mentorship on Azure best practices and DevSecOps methodologies Collaborate with cross-functional teams to deliver scalable and secure cloud solutions Required Qualifications: U.S. Citizenship and a security clearance (secret or above) 5+ years of DevSecOps or Cloud engineering experience with Azure focus Hands-on experience with Azure Kubernetes Service (AKS), Terraform, and policy-based automation Strong troubleshooting and problem-solving skills Self-starter with ability to work independently and drive initiatives Comfortable administering and securing Linux systems Solid understanding of networking principles and cloud security architectures Preferred Qualifications: Experience deploying workloads at DoD IL4/IL5 impact levels Hands-on experience with RHEL and RHEL-based Linux distributions Familiarity with Windows Server administration and automation Azure certifications such as AZ-104 (Azure Administrator Associate) or AZ-305 (Azure Solutions Architect Expert) Experience with Azure OpenAI, Cognitive Services, or other AI/ML platforms Knowledge of GitOps workflows and tools (FluxCD, ArgoCD) Experience with identity and access management solutions (Entra ID, Keycloak) Understanding of DoD Cloud Computing Security Requirements Guide (SRG) What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PIa1cddeae87ed-3112
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description Job Description: Performance / Load Test Engineer Middletown,PA Remote Description of Duties SDLC & Quality Governance Follow organizational SDLC and quality governance processes to ensure performance readiness across all enterprise modernization program releases. Define performance testing strategy, scope, workloads, non-functional requirements, and acceptance criteria. Performance & Load Testing Execution Design and execute performance, load, stress, endurance, and scalability testing using NeoLoad across enterprise components, including: SAP BRIM (Convergent Charging, Convergent Invoicing, FI-CA, Subscription Billing) SAP Convergent Mediation (CM) for high-volume and event mediation processing SAP S/4HANA and supporting SAP modules SAP Datasphere for analytics, reporting, and data integration performance validation CRM applications (Dynamics CE customer service and case management workflows) Middleware and integration layers (APIs, batch interfaces, event-driven integrations) Customer-facing channels (web portals, mobile applications, IVR, chatbot) Simulate real-world enterprise workloads including transactional events, mediation events, billing cycles, payment processing, CRM interactions, analytics queries, batch jobs, and peak-volume scenarios. Validate system behavior under concurrent users, high-volume API traffic, batch processing, and large-scale SAP financial operations. Execute end-to-end performance testing of integrations between CRM and SAP systems, including: CRM SAP (billing requests, account updates, case-driven transactions) SAP CRM (financial updates, invoice status, customer data synchronization) Validation of synchronous and asynchronous integration patterns, APIs, message queues, and batch interfaces Monitoring, Analysis & Reporting Monitor performance metrics including response times, throughput, error rates, resource utilization, and system saturation points. Analyze test results across SAP, CRM, integration, analytics, and infrastructure layers to identify bottlenecks. Prepare detailed performance test reports, dashboards, and executive summaries with clear go/no-go recommendations. Tooling & Automation Develop, maintain, and execute performance test scripts using NeoLoad (required). Perform API, integration, and data-pipeline performance testing using NeoLoad capabilities. Integrate NeoLoad tests with CI/CD pipelines where applicable. Establish performance baselines and support release-to-release benchmarking and regression analysis. Collaboration & Delivery Support Support System Integration Testing (SIT), User Acceptance Testing (UAT), PI cycles, Show-backs, Go-Live, and Hypercare phases with rigorous performance validation. Promote performance testing best practices and continuous improvement across the program. Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, and best practices. All documentation shall follow standard organizational templates. Adhere to all established IT standards, policies, and procedures. Minimum Experience/Skillset 8+ years of overall IT testing experience. 4+ years of hands-on performance/load testing experience. Strong hands-on experience with NeoLoad (Required). Experience testing enterprise-scale applications with high transaction volumes. Experience testing SAP systems, CRM platforms, analytics platforms, and complex enterprise integrations. Strong understanding of: Load, stress, endurance, and scalability testing API and middleware performance testing Batch, mediation, analytics, and asynchronous processing validation Preferred / Additional Skills Experience with SAP environments (SAP BRIM, S/4HANA, ECC). Experience with SAP Convergent Mediation (CM). Experience with SAP Datasphere. Experience testing CRM SAP bi-directional integrations. Experience testing CRM-to-ERP integrations. Experience with tolling, transportation, or public-sector systems. Experience with cloud or hybrid infrastructure performance testing.
11/12/2026
Full time
Job Description Job Description Job Description: Performance / Load Test Engineer Middletown,PA Remote Description of Duties SDLC & Quality Governance Follow organizational SDLC and quality governance processes to ensure performance readiness across all enterprise modernization program releases. Define performance testing strategy, scope, workloads, non-functional requirements, and acceptance criteria. Performance & Load Testing Execution Design and execute performance, load, stress, endurance, and scalability testing using NeoLoad across enterprise components, including: SAP BRIM (Convergent Charging, Convergent Invoicing, FI-CA, Subscription Billing) SAP Convergent Mediation (CM) for high-volume and event mediation processing SAP S/4HANA and supporting SAP modules SAP Datasphere for analytics, reporting, and data integration performance validation CRM applications (Dynamics CE customer service and case management workflows) Middleware and integration layers (APIs, batch interfaces, event-driven integrations) Customer-facing channels (web portals, mobile applications, IVR, chatbot) Simulate real-world enterprise workloads including transactional events, mediation events, billing cycles, payment processing, CRM interactions, analytics queries, batch jobs, and peak-volume scenarios. Validate system behavior under concurrent users, high-volume API traffic, batch processing, and large-scale SAP financial operations. Execute end-to-end performance testing of integrations between CRM and SAP systems, including: CRM SAP (billing requests, account updates, case-driven transactions) SAP CRM (financial updates, invoice status, customer data synchronization) Validation of synchronous and asynchronous integration patterns, APIs, message queues, and batch interfaces Monitoring, Analysis & Reporting Monitor performance metrics including response times, throughput, error rates, resource utilization, and system saturation points. Analyze test results across SAP, CRM, integration, analytics, and infrastructure layers to identify bottlenecks. Prepare detailed performance test reports, dashboards, and executive summaries with clear go/no-go recommendations. Tooling & Automation Develop, maintain, and execute performance test scripts using NeoLoad (required). Perform API, integration, and data-pipeline performance testing using NeoLoad capabilities. Integrate NeoLoad tests with CI/CD pipelines where applicable. Establish performance baselines and support release-to-release benchmarking and regression analysis. Collaboration & Delivery Support Support System Integration Testing (SIT), User Acceptance Testing (UAT), PI cycles, Show-backs, Go-Live, and Hypercare phases with rigorous performance validation. Promote performance testing best practices and continuous improvement across the program. Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, and best practices. All documentation shall follow standard organizational templates. Adhere to all established IT standards, policies, and procedures. Minimum Experience/Skillset 8+ years of overall IT testing experience. 4+ years of hands-on performance/load testing experience. Strong hands-on experience with NeoLoad (Required). Experience testing enterprise-scale applications with high transaction volumes. Experience testing SAP systems, CRM platforms, analytics platforms, and complex enterprise integrations. Strong understanding of: Load, stress, endurance, and scalability testing API and middleware performance testing Batch, mediation, analytics, and asynchronous processing validation Preferred / Additional Skills Experience with SAP environments (SAP BRIM, S/4HANA, ECC). Experience with SAP Convergent Mediation (CM). Experience with SAP Datasphere. Experience testing CRM SAP bi-directional integrations. Experience testing CRM-to-ERP integrations. Experience with tolling, transportation, or public-sector systems. Experience with cloud or hybrid infrastructure performance testing.
Job Description Job Description Marathon TS is actively seeking a Software Automation Test Lead with API emphasis to join our team and support development efforts for the Drug Enforcement Administration (DEA). Work Location : Arlington, VA or Merrifield, VA. Clearance: Active Secret clearance Responsibilities: The selected candidate must be knowledgeable and experienced as a Software Automation Test Lead. Core responsibilities include: Managing a team of five (5) or more Testers. Evaluating industry standard test tools and making recommendations based on industry best practices. Creating, maintaining, and evaluating software automation test scripts. Establish test strategies to ensure features meet acceptance criteria. Creating and executing manual and automated test cases to ensure functional coverage for assigned features. Gathering and validating application functional, performance, and load requirements. Identifying and logging defects with clear reproduction steps and validating fixes. Working closely with developers and Requirements Analyst peers to clarify requirements and improve test coverage. Participating in Agile ceremonies, such as sprint planning and retrospectives, to provide insights from a testing perspective. Managing test data, including the creation of data via API calls for testing. Creating test reports and maintaining all test documentation. Education and Experience: Bachelor's degree in Computer Science, Engineering, or a related field (15 years of demonstrated experience may be substituted). 15 years of general experience, including ten years of specialized and/or hands-on experience in automated testing. Required Skills: Successfully demonstrated experience with 2-3 object-oriented programming languages, with Java preferred and some Groovy experience. Hands-on experience with developing, executing, and maintaining automated test scripts. Experience with automated testing IDEs such as IntelliJ. Experience with API testing tools such as Katalon, Postman, SoapUI, or ReadyAPI. Operating system management experience with Windows Server 2012/2016. Experience with commercial defect management systems such as JIRA. Experience working within an Agile Development Environment. Excellent analytical, problem-solving, and communication skills. Basic understanding of program interfaces, services, databases, messaging, and file systems. The successful candidate is subject to a background investigation by the government and must be able to meet the requirements to hold a position of Secret Clearance. Desired Skills: Experience with a CI/CD tool such as GitHub, GitLab, Jenkins, or CircleCI. Experience with web UI automation frameworks such as Selenium, Cypress, or equivalent. Scripting proficiency in Groovy, Cygwin, Bash, Perl, or Python. Engages in self-learning and stays updated with industry trends. Experience using production RESTful interfaces. Experience with SQL Server Reporting Services (SSRS). Experience with source control management software, such as Git, Tortoise SVN/Subversion, or BitBucket. Working knowledge of Microsoft Edge, Mozilla Firefox, and Google Chrome Experience with mobile application testing and associated automation frameworks (e.g., Appium, XCUITest, Espresso). Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").
11/12/2026
Full time
Job Description Job Description Marathon TS is actively seeking a Software Automation Test Lead with API emphasis to join our team and support development efforts for the Drug Enforcement Administration (DEA). Work Location : Arlington, VA or Merrifield, VA. Clearance: Active Secret clearance Responsibilities: The selected candidate must be knowledgeable and experienced as a Software Automation Test Lead. Core responsibilities include: Managing a team of five (5) or more Testers. Evaluating industry standard test tools and making recommendations based on industry best practices. Creating, maintaining, and evaluating software automation test scripts. Establish test strategies to ensure features meet acceptance criteria. Creating and executing manual and automated test cases to ensure functional coverage for assigned features. Gathering and validating application functional, performance, and load requirements. Identifying and logging defects with clear reproduction steps and validating fixes. Working closely with developers and Requirements Analyst peers to clarify requirements and improve test coverage. Participating in Agile ceremonies, such as sprint planning and retrospectives, to provide insights from a testing perspective. Managing test data, including the creation of data via API calls for testing. Creating test reports and maintaining all test documentation. Education and Experience: Bachelor's degree in Computer Science, Engineering, or a related field (15 years of demonstrated experience may be substituted). 15 years of general experience, including ten years of specialized and/or hands-on experience in automated testing. Required Skills: Successfully demonstrated experience with 2-3 object-oriented programming languages, with Java preferred and some Groovy experience. Hands-on experience with developing, executing, and maintaining automated test scripts. Experience with automated testing IDEs such as IntelliJ. Experience with API testing tools such as Katalon, Postman, SoapUI, or ReadyAPI. Operating system management experience with Windows Server 2012/2016. Experience with commercial defect management systems such as JIRA. Experience working within an Agile Development Environment. Excellent analytical, problem-solving, and communication skills. Basic understanding of program interfaces, services, databases, messaging, and file systems. The successful candidate is subject to a background investigation by the government and must be able to meet the requirements to hold a position of Secret Clearance. Desired Skills: Experience with a CI/CD tool such as GitHub, GitLab, Jenkins, or CircleCI. Experience with web UI automation frameworks such as Selenium, Cypress, or equivalent. Scripting proficiency in Groovy, Cygwin, Bash, Perl, or Python. Engages in self-learning and stays updated with industry trends. Experience using production RESTful interfaces. Experience with SQL Server Reporting Services (SSRS). Experience with source control management software, such as Git, Tortoise SVN/Subversion, or BitBucket. Working knowledge of Microsoft Edge, Mozilla Firefox, and Google Chrome Experience with mobile application testing and associated automation frameworks (e.g., Appium, XCUITest, Espresso). Marathon TS is committed to the development of a creative, diverse and inclusive work environment. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Marathon TS will be based on merit, qualifications, and abilities. Marathon TS does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age or any other characteristic protected by law (referred to as "protected status ").
Job Description Job Description Job Description: QA Automation Test Lead Duration : 6 Months Contract Location: Indianapolis, IN Onsite, Rate $55-60/hr Role Summary The Test Lead is responsible for defining and driving the testing strategy for one or more product teams. This person leads a team of test engineers, owns the quality of releases, and partners with product, development, and operations to ensure software is delivered on time, meets requirements, and is reliable in production. The role combines hands-on technical expertise with people leadership and strategic planning. Key Responsibilities Test Strategy and Planning Define test strategy, test plans, and quality metrics aligned with project goals and release schedules Assess risk and prioritize testing efforts across functional, regression, integration, performance, and security testing Estimate testing effort and contribute to sprint and release planning Team Leadership Lead, mentor, and coach a team of QA/test engineers; assign work and manage workload Conduct performance reviews, support career development, and participate in hiring Foster a culture of quality ownership across the engineering organization Test Execution and Automation Oversee design and execution of manual and automated test cases Drive test automation strategy, framework selection, and CI/CD integration Review test coverage and continuously improve the efficiency and reliability of test suites Collaboration Work closely with product owners, developers, DevOps, and business analysts to clarify requirements and acceptance criteria Communicate status, risks, and blockers to project managers and senior leadership Coordinate with vendors or offshore teams where applicable Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience 6 years of experience in software testing/QA, including 2 years in a lead or senior role Strong knowledge of SDLC, STLC, and Agile/Scrum methodologies Experience with test management and defect tracking tools (e.g., Jira) Excellent written and verbal communication, with the ability to influence stakeholders Preferred Qualifications ISTQB Advanced Level (Test Manager) or equivalent certification Experience testing cloud-based applications (AWS, Azure, Eligible to workP) and microservices Key Competencies Leadership and mentoring Analytical and risk-based thinking Attention to detail and a quality mindset Strong organization and prioritization Problem-solving and adaptability Stakeholder management Success Measures Reduction in escaped defects and production incidents Increased automation coverage and faster regression cycles On-time, high-quality releases Team engagement, growth, and retentio Role Descriptions: Key ResponsibilitiesOwn the overall test strategy test plan estimates schedule scope entry and exit criteria and testing deliverables.Lead functional integration system regression user acceptance and release validation activities across applications and interfaces.Engage with business users and client stakeholders to understand requirements assess testability clarify acceptance criteria and identify risks early.Coordinate daily activities across onsite and offshore testing teams allocate work monitor progress and remove delivery impediments.Review test scenarios test cases test data requirements traceability execution evidence and defect documentation for completeness and quality.Manage the defect lifecycle facilitate triage meetings drive root-cause discussions and ensure timely closure of critical defects.Publish accurate test status dashboards quality metrics risk and issue logs and release readiness recommendations to stakeholders.Collaborate with development business analysis infrastructure data security and release management teams throughout the delivery lifecycle.Identify automation opportunities and work with automation teams to improve regression coverage execution efficiency and quality controls.Ensure adherence to client processes quality standards documentation requirements audit controls and applicable regulatory or compliance expectations.Support production deployment post-release validation incident analysis and continuous improvement initiatives.Mentor test team members conduct reviews share best practices and promote accountability and a quality-first culture. Essential Skills: Key ResponsibilitiesOwn the overall test strategy test plan estimates schedule scope entry and exit criteria and testing deliverables.Lead functional integration system regression user acceptance and release validation activities across applications and interfaces.Engage with business users and client stakeholders to understand requirements assess testability clarify acceptance criteria and identify risks early.Coordinate daily activities across onsite and offshore testing teams allocate work monitor progress and remove delivery impediments.Review test scenarios test cases test data requirements traceability execution evidence and defect documentation for completeness and quality.Manage the defect lifecycle facilitate triage meetings drive root-cause discussions and ensure timely closure of critical defects.Publish accurate test status dashboards quality metrics risk and issue logs and release readiness recommendations to stakeholders.Collaborate with development business analysis infrastructure data security and release management teams throughout the delivery lifecycle.Identify automation opportunities and work with automation teams to improve regression coverage execution efficiency and quality controls.Ensure adherence to client processes quality standards documentation requirements audit controls and applicable regulatory or compliance expectations.Support production deployment post-release validation incident analysis and continuous improvement initiatives.Mentor test team members conduct reviews share best practices and promote accountability and a quality-first culture. Desirable Skills: Keyword: Skills: HiTech : Automation Testing Experience Required: 8-10
11/12/2026
Full time
Job Description Job Description Job Description: QA Automation Test Lead Duration : 6 Months Contract Location: Indianapolis, IN Onsite, Rate $55-60/hr Role Summary The Test Lead is responsible for defining and driving the testing strategy for one or more product teams. This person leads a team of test engineers, owns the quality of releases, and partners with product, development, and operations to ensure software is delivered on time, meets requirements, and is reliable in production. The role combines hands-on technical expertise with people leadership and strategic planning. Key Responsibilities Test Strategy and Planning Define test strategy, test plans, and quality metrics aligned with project goals and release schedules Assess risk and prioritize testing efforts across functional, regression, integration, performance, and security testing Estimate testing effort and contribute to sprint and release planning Team Leadership Lead, mentor, and coach a team of QA/test engineers; assign work and manage workload Conduct performance reviews, support career development, and participate in hiring Foster a culture of quality ownership across the engineering organization Test Execution and Automation Oversee design and execution of manual and automated test cases Drive test automation strategy, framework selection, and CI/CD integration Review test coverage and continuously improve the efficiency and reliability of test suites Collaboration Work closely with product owners, developers, DevOps, and business analysts to clarify requirements and acceptance criteria Communicate status, risks, and blockers to project managers and senior leadership Coordinate with vendors or offshore teams where applicable Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience 6 years of experience in software testing/QA, including 2 years in a lead or senior role Strong knowledge of SDLC, STLC, and Agile/Scrum methodologies Experience with test management and defect tracking tools (e.g., Jira) Excellent written and verbal communication, with the ability to influence stakeholders Preferred Qualifications ISTQB Advanced Level (Test Manager) or equivalent certification Experience testing cloud-based applications (AWS, Azure, Eligible to workP) and microservices Key Competencies Leadership and mentoring Analytical and risk-based thinking Attention to detail and a quality mindset Strong organization and prioritization Problem-solving and adaptability Stakeholder management Success Measures Reduction in escaped defects and production incidents Increased automation coverage and faster regression cycles On-time, high-quality releases Team engagement, growth, and retentio Role Descriptions: Key ResponsibilitiesOwn the overall test strategy test plan estimates schedule scope entry and exit criteria and testing deliverables.Lead functional integration system regression user acceptance and release validation activities across applications and interfaces.Engage with business users and client stakeholders to understand requirements assess testability clarify acceptance criteria and identify risks early.Coordinate daily activities across onsite and offshore testing teams allocate work monitor progress and remove delivery impediments.Review test scenarios test cases test data requirements traceability execution evidence and defect documentation for completeness and quality.Manage the defect lifecycle facilitate triage meetings drive root-cause discussions and ensure timely closure of critical defects.Publish accurate test status dashboards quality metrics risk and issue logs and release readiness recommendations to stakeholders.Collaborate with development business analysis infrastructure data security and release management teams throughout the delivery lifecycle.Identify automation opportunities and work with automation teams to improve regression coverage execution efficiency and quality controls.Ensure adherence to client processes quality standards documentation requirements audit controls and applicable regulatory or compliance expectations.Support production deployment post-release validation incident analysis and continuous improvement initiatives.Mentor test team members conduct reviews share best practices and promote accountability and a quality-first culture. Essential Skills: Key ResponsibilitiesOwn the overall test strategy test plan estimates schedule scope entry and exit criteria and testing deliverables.Lead functional integration system regression user acceptance and release validation activities across applications and interfaces.Engage with business users and client stakeholders to understand requirements assess testability clarify acceptance criteria and identify risks early.Coordinate daily activities across onsite and offshore testing teams allocate work monitor progress and remove delivery impediments.Review test scenarios test cases test data requirements traceability execution evidence and defect documentation for completeness and quality.Manage the defect lifecycle facilitate triage meetings drive root-cause discussions and ensure timely closure of critical defects.Publish accurate test status dashboards quality metrics risk and issue logs and release readiness recommendations to stakeholders.Collaborate with development business analysis infrastructure data security and release management teams throughout the delivery lifecycle.Identify automation opportunities and work with automation teams to improve regression coverage execution efficiency and quality controls.Ensure adherence to client processes quality standards documentation requirements audit controls and applicable regulatory or compliance expectations.Support production deployment post-release validation incident analysis and continuous improvement initiatives.Mentor test team members conduct reviews share best practices and promote accountability and a quality-first culture. Desirable Skills: Keyword: Skills: HiTech : Automation Testing Experience Required: 8-10
Job Description Job Description Qualifications: • 2 to 3 years of experience in Information Technology with expertise in test automation of applications from UI and API layer. • Candidate should have hands on experience of writing, maintaining automated UI and APIs tests written in Java, JavaScript, C#, Python using various open-source testing libraries like Selenium, Cypress, REST Assured, etc. • Hands on experience in OOPs languages like Java, C# and scripting languages like Python, Perl,Shell, Bash etc. • Experience with API and Microservices testing and automation • Knowledge and experience with Test Driven Development(TDD),Behavior Driven Development(BDD) with a testing framework like Cucumber,JBehave • Hands on experience with one or more querying languages such SQL (preferred), Oracle, MySQL and/or No SQL databases (Cassandra, MongoDB etc) • Experience deploying applications in AWS or OpenShift (Kubernetes) • Hands on experience in automating backend REST services including writing custom functions using tools such as Postman, REST Assured, Karate,Cypress, Ready API etc. • Hands on experience of building test automation framework from ground up using modular framework and design pattern like Page Object Model design pattern (POM) etc. • Experience of working in distributed agile teams using agile frameworks such as SCRUM , SAFe, XP etc. • Hands on experience of working with continues integration tools such Jenkins, Circle CI. • Able to independently create and maintain automation test jobs using tools such as Jenkins. • Hands on experience working with source code management tools such as GitLab, GitHub, AWS Code Commit etc. • Hands on experience of creating test reports from automation test run using tools such as cucumber report, Extent report etc. • Ability to quickly adapt to new tools and evolving technologies. • Must have the ability to clearly communicate with peers, business analysts, and subject matter experts • Must have the ability to listen to customers and colleagues; convey ideas effectively; prepare written documentation • Proactive in nature with customer satisfaction as a primary goal • Excellent verbal and written communication. • Embraces Diverse people, thinking and styles • Consistently makes safety and security, of self and others, the priority Responsibilities: PREFERRED QUALIFICATIONS • Knowledge and experience with the Travel Industry • Infrastructure automation using docker and tools like Chef, Puppet, Terraform • Experience of working with various AWS cloud services such as EC2, s3 bucket, AWS code pipeline, CloudFormation, etc. • Hands on experience of virtualizing services for test automation using tools such as Wire Mock, Mockito etc. • Experience of working with test management and agile management tools such as VersionOne, qTest etc. • Experience of working with container orchestration tools such as docker, RED Hat OpenShift, AWS CloudFormation. • Experience of non-functional testing such as performance, load, stress, security, accessibility and usability testing. Responsibilities: • Design, develop, execute and maintain software to test the product/application • Define automation strategy, automation cases as well as Design tools for unit, functional, and performance testing in a programmatic manner • Participate in design and code inspections. • Propose improvements to our existing processes and build automated tools, libraries and utilities in order to improve the team's speed, quality and efficiency. • The testing code you write should expose defects in production level code as well as defects at the component and feature integration perspective • Work with a wide variety of technologies from front-end UI to back-end distributed web services • Own the design and implementation of tests that will help in end-to-end quality of major deliverables working closely with multiple engineers and teams to execute them • Integration of both the tests and infrastructure automation into the CI/CD pipeline is also a key responsibility in this position • Contribute to agile development teams following 12 Factor application development principles • Collaborate effectively within team environment "All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status."
11/12/2026
Full time
Job Description Job Description Qualifications: • 2 to 3 years of experience in Information Technology with expertise in test automation of applications from UI and API layer. • Candidate should have hands on experience of writing, maintaining automated UI and APIs tests written in Java, JavaScript, C#, Python using various open-source testing libraries like Selenium, Cypress, REST Assured, etc. • Hands on experience in OOPs languages like Java, C# and scripting languages like Python, Perl,Shell, Bash etc. • Experience with API and Microservices testing and automation • Knowledge and experience with Test Driven Development(TDD),Behavior Driven Development(BDD) with a testing framework like Cucumber,JBehave • Hands on experience with one or more querying languages such SQL (preferred), Oracle, MySQL and/or No SQL databases (Cassandra, MongoDB etc) • Experience deploying applications in AWS or OpenShift (Kubernetes) • Hands on experience in automating backend REST services including writing custom functions using tools such as Postman, REST Assured, Karate,Cypress, Ready API etc. • Hands on experience of building test automation framework from ground up using modular framework and design pattern like Page Object Model design pattern (POM) etc. • Experience of working in distributed agile teams using agile frameworks such as SCRUM , SAFe, XP etc. • Hands on experience of working with continues integration tools such Jenkins, Circle CI. • Able to independently create and maintain automation test jobs using tools such as Jenkins. • Hands on experience working with source code management tools such as GitLab, GitHub, AWS Code Commit etc. • Hands on experience of creating test reports from automation test run using tools such as cucumber report, Extent report etc. • Ability to quickly adapt to new tools and evolving technologies. • Must have the ability to clearly communicate with peers, business analysts, and subject matter experts • Must have the ability to listen to customers and colleagues; convey ideas effectively; prepare written documentation • Proactive in nature with customer satisfaction as a primary goal • Excellent verbal and written communication. • Embraces Diverse people, thinking and styles • Consistently makes safety and security, of self and others, the priority Responsibilities: PREFERRED QUALIFICATIONS • Knowledge and experience with the Travel Industry • Infrastructure automation using docker and tools like Chef, Puppet, Terraform • Experience of working with various AWS cloud services such as EC2, s3 bucket, AWS code pipeline, CloudFormation, etc. • Hands on experience of virtualizing services for test automation using tools such as Wire Mock, Mockito etc. • Experience of working with test management and agile management tools such as VersionOne, qTest etc. • Experience of working with container orchestration tools such as docker, RED Hat OpenShift, AWS CloudFormation. • Experience of non-functional testing such as performance, load, stress, security, accessibility and usability testing. Responsibilities: • Design, develop, execute and maintain software to test the product/application • Define automation strategy, automation cases as well as Design tools for unit, functional, and performance testing in a programmatic manner • Participate in design and code inspections. • Propose improvements to our existing processes and build automated tools, libraries and utilities in order to improve the team's speed, quality and efficiency. • The testing code you write should expose defects in production level code as well as defects at the component and feature integration perspective • Work with a wide variety of technologies from front-end UI to back-end distributed web services • Own the design and implementation of tests that will help in end-to-end quality of major deliverables working closely with multiple engineers and teams to execute them • Integration of both the tests and infrastructure automation into the CI/CD pipeline is also a key responsibility in this position • Contribute to agile development teams following 12 Factor application development principles • Collaborate effectively within team environment "All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status."
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is hiring a DevSecOps Engineer to design, build, and manage the infrastructure foundations of our software factory environments. This role emphasizes infrastructure-as-code, Kubernetes automation, and GitOps delivery practices in support of critical defense programs. You'll work hands-on with containerization, CI/CD pipelines, and secure multi-cloud environments while implementing DoD hardening standards. Role Responsibilities: Develop and maintain infrastructure using Terraform and infrastructure-as-code practices Author Dockerfiles and deploy workloads to Kubernetes clusters using Helm Implement and manage GitOps workflows and automated cluster configuration management Harden clusters and base images per DoD guidance including STIG and Iron Bank standards Support networking, policy enforcement, and secrets management in secure multi-cloud environments Troubleshoot complex infrastructure issues and implement solutions independently Administer and maintain Linux-based systems in production environments Collaborate with development and security teams to ensure seamless CI/CD pipeline operations Required Qualifications: U.S. Citizenship and a security clearance (secret or above) Experience with Containerization and Kubernetes Terraform experience Helm experience CI/CD Experience (GitLab preferred) Strong troubleshooting skills Self-starter with ability to work independently Familiarity with administering Linux Systems Preferred Qualifications: Experience with Renovate Familiarity with DoD Security Requirements Guide (SRG) Familiarity with DoD DevSecOps Reference Guide Familiarity with Windows server administration and automation Experience with RHEL and RHEL-based Linux distributions Hands-on experience with FluxCD or similar GitOps tools Experience with policy-as-code frameworks (OPA) Understanding of DoD Cloud SRG and container hardening practices What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PI400dbd6bd0e6-7430
11/12/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is hiring a DevSecOps Engineer to design, build, and manage the infrastructure foundations of our software factory environments. This role emphasizes infrastructure-as-code, Kubernetes automation, and GitOps delivery practices in support of critical defense programs. You'll work hands-on with containerization, CI/CD pipelines, and secure multi-cloud environments while implementing DoD hardening standards. Role Responsibilities: Develop and maintain infrastructure using Terraform and infrastructure-as-code practices Author Dockerfiles and deploy workloads to Kubernetes clusters using Helm Implement and manage GitOps workflows and automated cluster configuration management Harden clusters and base images per DoD guidance including STIG and Iron Bank standards Support networking, policy enforcement, and secrets management in secure multi-cloud environments Troubleshoot complex infrastructure issues and implement solutions independently Administer and maintain Linux-based systems in production environments Collaborate with development and security teams to ensure seamless CI/CD pipeline operations Required Qualifications: U.S. Citizenship and a security clearance (secret or above) Experience with Containerization and Kubernetes Terraform experience Helm experience CI/CD Experience (GitLab preferred) Strong troubleshooting skills Self-starter with ability to work independently Familiarity with administering Linux Systems Preferred Qualifications: Experience with Renovate Familiarity with DoD Security Requirements Guide (SRG) Familiarity with DoD DevSecOps Reference Guide Familiarity with Windows server administration and automation Experience with RHEL and RHEL-based Linux distributions Hands-on experience with FluxCD or similar GitOps tools Experience with policy-as-code frameworks (OPA) Understanding of DoD Cloud SRG and container hardening practices What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PI400dbd6bd0e6-7430
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is hiring a DevSecOps Engineer to design, build, and manage the infrastructure foundations of our software factory environments. This role emphasizes infrastructure-as-code, Kubernetes automation, and GitOps delivery practices in support of critical defense programs. You'll work hands-on with containerization, CI/CD pipelines, and secure multi-cloud environments while implementing DoD hardening standards. Role Responsibilities: Develop and maintain infrastructure using Terraform and infrastructure-as-code practices Author Dockerfiles and deploy workloads to Kubernetes clusters using Helm Implement and manage GitOps workflows and automated cluster configuration management Harden clusters and base images per DoD guidance including STIG and Iron Bank standards Support networking, policy enforcement, and secrets management in secure multi-cloud environments Troubleshoot complex infrastructure issues and implement solutions independently Administer and maintain Linux-based systems in production environments Collaborate with development and security teams to ensure seamless CI/CD pipeline operations Required Qualifications: U.S. Citizenship and a security clearance (secret or above) Experience with Containerization and Kubernetes Terraform experience Helm experience CI/CD Experience (GitLab preferred) Strong troubleshooting skills Self-starter with ability to work independently Familiarity with administering Linux Systems Preferred Qualifications: Experience with Renovate Familiarity with DoD Security Requirements Guide (SRG) Familiarity with DoD DevSecOps Reference Guide Familiarity with Windows server administration and automation Experience with RHEL and RHEL-based Linux distributions Hands-on experience with FluxCD or similar GitOps tools Experience with policy-as-code frameworks (OPA) Understanding of DoD Cloud SRG and container hardening practices What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PI400dbd6bd0e6-7430
11/12/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is hiring a DevSecOps Engineer to design, build, and manage the infrastructure foundations of our software factory environments. This role emphasizes infrastructure-as-code, Kubernetes automation, and GitOps delivery practices in support of critical defense programs. You'll work hands-on with containerization, CI/CD pipelines, and secure multi-cloud environments while implementing DoD hardening standards. Role Responsibilities: Develop and maintain infrastructure using Terraform and infrastructure-as-code practices Author Dockerfiles and deploy workloads to Kubernetes clusters using Helm Implement and manage GitOps workflows and automated cluster configuration management Harden clusters and base images per DoD guidance including STIG and Iron Bank standards Support networking, policy enforcement, and secrets management in secure multi-cloud environments Troubleshoot complex infrastructure issues and implement solutions independently Administer and maintain Linux-based systems in production environments Collaborate with development and security teams to ensure seamless CI/CD pipeline operations Required Qualifications: U.S. Citizenship and a security clearance (secret or above) Experience with Containerization and Kubernetes Terraform experience Helm experience CI/CD Experience (GitLab preferred) Strong troubleshooting skills Self-starter with ability to work independently Familiarity with administering Linux Systems Preferred Qualifications: Experience with Renovate Familiarity with DoD Security Requirements Guide (SRG) Familiarity with DoD DevSecOps Reference Guide Familiarity with Windows server administration and automation Experience with RHEL and RHEL-based Linux distributions Hands-on experience with FluxCD or similar GitOps tools Experience with policy-as-code frameworks (OPA) Understanding of DoD Cloud SRG and container hardening practices What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 75,000 - 110,000 USD per year(Huntsville, AL (L2 Base 110,000 - 150,000 USD per year(Huntsville, AL (L3 Senior Compensation details: 00 Yearly Salary PI400dbd6bd0e6-7430
Cambridge International Systems Inc
Adams Run, South Carolina
Job Description Job Description AWS DevSecOps Engineer - Secret North Charleston, SC Cambridge International Systems, Inc. Join a dynamic global team united by shared values: commitment, integrity, and perseverance. At Cambridge, you'll work alongside top talent worldwide, tackling some of today's most complex and critical challenges in defense and security. We are currently seeking an AWS DevSecOps Engineer to support the Naval Information Warfare Center Atlantic (NIWC Atlantic) Expeditionary Enterprise Systems and Services (E2S2) Division in North Charleston, SC. This is a full-time, CONUS, on-site office position requiring attendance five days per week, with one optional telework day. An active DoD Secret security clearance is required. What You'll Do As an AWS DevSecOps Engineer, you will combine cloud security architecture, DevSecOps automation, and advanced firewall/network security engineering to design secure systems, automate operations, and ensure the reliability, scalability, and security of AWS cloud environments. An automation-first mindset is critical, with a focus on eliminating manual security tasks through self-healing and compliant infrastructure. You will: Design, implement, and maintain DevSecOps pipelines supporting CI/CD, continuous monitoring, and automated security testing. Embed SAST, DAST, SCA, and compliance checks directly into CI/CD tools such as Jenkins, GitLab CI, and AWS CodePipeline. Automate operational tasks and security workflows using Python, Bash, or Go. Create SOAR-style automated incident response playbooks and threat detection routines. Manage and enhance CI/CD tools including Jenkins, Git, Jira, Artifactory, and SonarQube. Design secure, scalable AWS architectures using best practices and Infrastructure as Code (Terraform, CloudFormation). Implement policy-as-code to detect and prevent cloud resource misconfigurations before deployment. Build and maintain containerized workloads on ECS and EKS, including automated container vulnerability management. Deploy, configure, and manage AWS-native network security tools including AWS WAF, AWS Network Firewall, Security Groups, and NACLs. Maintain and operate virtualized NGFWs such as Palo Alto, Fortinet, and Check Point running in AWS. Monitor and analyze firewall logs, IDS/IPS alerts, and VPC flow logs to identify and mitigate threats. Manage firewalls, F5 BigIP, VPN, DNS, SFTP, and other TCP/IP-based services. Manage AWS services including EC2, VPC, Lambda, S3, EFS, ECR/ECS, EKS, Route53, IAM, RDS, CloudTrail, and CloudWatch. Develop and maintain infrastructure-as-code for provisioning, configuration, patching, and lifecycle management. Conduct performance, availability, and security assessments across cloud and container environments. Troubleshoot incidents, perform root cause analysis, and implement durable remediation. Maintain system documentation, architecture diagrams, and security procedures. Implement and enforce least privilege principles using AWS IAM, SSO, and identity integrations. Automate permission audits and cloud security posture monitoring. Support compliance with frameworks such as SOC 2, HIPAA, PCI-DSS, and ISO 27001. What You'll Bring Required Qualifications: Must be proficient in using different technologies such as computers and other tools and systems pertinent to the position. Education & Experience: Bachelor's degree in Computer Science or related Engineering field from an Accreditation Board for Engineering and Technology (ABET) accredited program. Seven (7) plus years of IT professional experience, with at least three (3) years specifically in AWS Cloud Security, DevOps, or DevSecOps. Current Security+ certification required. Experience overseeing the creation of hybrid software, web, and hardware products from initial specifications through final rollout and maintenance. Technical Expertise: Hands-on experience with AWS firewalls, NGFWs, IDS/IPS, and advanced network security. Strong automation mindset with a history of developing guardrails, auto-remediation, or security tooling. Proficiency in Python, Bash, or Go. Strong knowledge of AWS core services including EC2, VPC, RDS, Lambda, S3, CloudTrail, GuardDuty, and Security Hub. Proficiency with Terraform or CloudFormation. Experience integrating various network operating systems, application programs, and hardware devices through system specification, design, coding, testing, and maintenance support. Clearance: Must have a current and active DoD Secret security clearance. Preferred (Nice to Have): Experience implementing SOAR platforms or building serverless auto-remediation using Lambda/Step Functions. AWS Security Specialty or AWS DevOps Professional certification. Experience securing Kubernetes/EKS workloads and container registries. Experience automating compliance for SOC 2, HIPAA, PCI-DSS, or ISO 27001. Travel Requirements Physical & Work Environment Requirements On-site office environment in North Charleston, SC, requiring attendance five days per week, with one optional telework day. Periods of prolonged sitting and/or standing, including desk-based computer work. Regular use of computers, monitors, networking equipment, and other job-related technology. Work is performed in a secure facility where personal electronic devices (including Bluetooth- or Wi-Fi-enabled devices) may be restricted. Occasional extended work hours, including evenings or weekends, as needed. Communication with team members, customers, and stakeholders through verbal and written methods. Ability to manage competing priorities, work under deadlines, and maintain attention to detail. Vaccine Recommendations by AOR Health.mil Background & Security Employment is contingent upon successful background investigation Alcohol and Drug screening may be required for federal contract compliance Benefits & Perks We believe in investing in our team-both professionally and personally: Medical, dental, vision, life, accident, and critical illness insurance 401(k) immediate vesting and match Paid time off and company holidays Generous tuition & training support Relocation assistance Sign-on and performance-based bonuses Employee referral program Access to Tickets at Work, EAP, wellness initiatives, and more Cambridge International Systems is committed to investing in our employees and their future by providing them with competitive compensation, career development opportunities and comfortable working conditions. Available to part-time and temporary employees are the benefits below: Referral bonuses Performance-based bonuses Community involvement & outreach Wellness program Employee referral program Access to Tickets at Work, EAP, wellness initiatives, and more Join Us If you're driven by mission, technology, and teamwork-we want to hear from you. Cambridge is growing, and this position is just one of many opportunities on our global team. Know someone perfect for the role? Referrals are welcome-both employees and non-employees may qualify for a bonus. Apply today and help shape the future of secure cloud computing for national security. About Cambridge International Systems At Cambridge, we believe innovation and agility thrive when people work together. Our culture is built on teamwork, collaboration, and a commitment to listening, learning, and bringing out the best ideas in every employee. We empower our people to take on challenges, persevere to get the job done, and lead with integrity in everything we do. Our commitment to our employees and workplace culture has been recognized through the DAV Patriot Small Employer of the Year Award in 2026 and the Cigna Healthy Workforce Gold Designation in 2025. These recognitions reflect our ongoing commitment to creating a workplace where employees are valued, supported, and empowered to do their best work. At Cambridge, we are proud to foster an environment where people can grow, contribute, and make a meaningful impact. Learn more at . We are an equal opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to any protected status under applicable law or other similar factors that are not job-related. We encourage all qualified individuals to apply for employment. Selected applicants may be subject to a background investigation and/or education verification. We provide reasonable accommodation for qualified individuals with disabilities in accordance with federal, state, and local law. If you require a reasonable accommodation to participate in the application process or to perform the essential functions of the position, please contact our Recruiting Team at . Powered by JazzHR 5zpssyT3Zw
11/12/2026
Full time
Job Description Job Description AWS DevSecOps Engineer - Secret North Charleston, SC Cambridge International Systems, Inc. Join a dynamic global team united by shared values: commitment, integrity, and perseverance. At Cambridge, you'll work alongside top talent worldwide, tackling some of today's most complex and critical challenges in defense and security. We are currently seeking an AWS DevSecOps Engineer to support the Naval Information Warfare Center Atlantic (NIWC Atlantic) Expeditionary Enterprise Systems and Services (E2S2) Division in North Charleston, SC. This is a full-time, CONUS, on-site office position requiring attendance five days per week, with one optional telework day. An active DoD Secret security clearance is required. What You'll Do As an AWS DevSecOps Engineer, you will combine cloud security architecture, DevSecOps automation, and advanced firewall/network security engineering to design secure systems, automate operations, and ensure the reliability, scalability, and security of AWS cloud environments. An automation-first mindset is critical, with a focus on eliminating manual security tasks through self-healing and compliant infrastructure. You will: Design, implement, and maintain DevSecOps pipelines supporting CI/CD, continuous monitoring, and automated security testing. Embed SAST, DAST, SCA, and compliance checks directly into CI/CD tools such as Jenkins, GitLab CI, and AWS CodePipeline. Automate operational tasks and security workflows using Python, Bash, or Go. Create SOAR-style automated incident response playbooks and threat detection routines. Manage and enhance CI/CD tools including Jenkins, Git, Jira, Artifactory, and SonarQube. Design secure, scalable AWS architectures using best practices and Infrastructure as Code (Terraform, CloudFormation). Implement policy-as-code to detect and prevent cloud resource misconfigurations before deployment. Build and maintain containerized workloads on ECS and EKS, including automated container vulnerability management. Deploy, configure, and manage AWS-native network security tools including AWS WAF, AWS Network Firewall, Security Groups, and NACLs. Maintain and operate virtualized NGFWs such as Palo Alto, Fortinet, and Check Point running in AWS. Monitor and analyze firewall logs, IDS/IPS alerts, and VPC flow logs to identify and mitigate threats. Manage firewalls, F5 BigIP, VPN, DNS, SFTP, and other TCP/IP-based services. Manage AWS services including EC2, VPC, Lambda, S3, EFS, ECR/ECS, EKS, Route53, IAM, RDS, CloudTrail, and CloudWatch. Develop and maintain infrastructure-as-code for provisioning, configuration, patching, and lifecycle management. Conduct performance, availability, and security assessments across cloud and container environments. Troubleshoot incidents, perform root cause analysis, and implement durable remediation. Maintain system documentation, architecture diagrams, and security procedures. Implement and enforce least privilege principles using AWS IAM, SSO, and identity integrations. Automate permission audits and cloud security posture monitoring. Support compliance with frameworks such as SOC 2, HIPAA, PCI-DSS, and ISO 27001. What You'll Bring Required Qualifications: Must be proficient in using different technologies such as computers and other tools and systems pertinent to the position. Education & Experience: Bachelor's degree in Computer Science or related Engineering field from an Accreditation Board for Engineering and Technology (ABET) accredited program. Seven (7) plus years of IT professional experience, with at least three (3) years specifically in AWS Cloud Security, DevOps, or DevSecOps. Current Security+ certification required. Experience overseeing the creation of hybrid software, web, and hardware products from initial specifications through final rollout and maintenance. Technical Expertise: Hands-on experience with AWS firewalls, NGFWs, IDS/IPS, and advanced network security. Strong automation mindset with a history of developing guardrails, auto-remediation, or security tooling. Proficiency in Python, Bash, or Go. Strong knowledge of AWS core services including EC2, VPC, RDS, Lambda, S3, CloudTrail, GuardDuty, and Security Hub. Proficiency with Terraform or CloudFormation. Experience integrating various network operating systems, application programs, and hardware devices through system specification, design, coding, testing, and maintenance support. Clearance: Must have a current and active DoD Secret security clearance. Preferred (Nice to Have): Experience implementing SOAR platforms or building serverless auto-remediation using Lambda/Step Functions. AWS Security Specialty or AWS DevOps Professional certification. Experience securing Kubernetes/EKS workloads and container registries. Experience automating compliance for SOC 2, HIPAA, PCI-DSS, or ISO 27001. Travel Requirements Physical & Work Environment Requirements On-site office environment in North Charleston, SC, requiring attendance five days per week, with one optional telework day. Periods of prolonged sitting and/or standing, including desk-based computer work. Regular use of computers, monitors, networking equipment, and other job-related technology. Work is performed in a secure facility where personal electronic devices (including Bluetooth- or Wi-Fi-enabled devices) may be restricted. Occasional extended work hours, including evenings or weekends, as needed. Communication with team members, customers, and stakeholders through verbal and written methods. Ability to manage competing priorities, work under deadlines, and maintain attention to detail. Vaccine Recommendations by AOR Health.mil Background & Security Employment is contingent upon successful background investigation Alcohol and Drug screening may be required for federal contract compliance Benefits & Perks We believe in investing in our team-both professionally and personally: Medical, dental, vision, life, accident, and critical illness insurance 401(k) immediate vesting and match Paid time off and company holidays Generous tuition & training support Relocation assistance Sign-on and performance-based bonuses Employee referral program Access to Tickets at Work, EAP, wellness initiatives, and more Cambridge International Systems is committed to investing in our employees and their future by providing them with competitive compensation, career development opportunities and comfortable working conditions. Available to part-time and temporary employees are the benefits below: Referral bonuses Performance-based bonuses Community involvement & outreach Wellness program Employee referral program Access to Tickets at Work, EAP, wellness initiatives, and more Join Us If you're driven by mission, technology, and teamwork-we want to hear from you. Cambridge is growing, and this position is just one of many opportunities on our global team. Know someone perfect for the role? Referrals are welcome-both employees and non-employees may qualify for a bonus. Apply today and help shape the future of secure cloud computing for national security. About Cambridge International Systems At Cambridge, we believe innovation and agility thrive when people work together. Our culture is built on teamwork, collaboration, and a commitment to listening, learning, and bringing out the best ideas in every employee. We empower our people to take on challenges, persevere to get the job done, and lead with integrity in everything we do. Our commitment to our employees and workplace culture has been recognized through the DAV Patriot Small Employer of the Year Award in 2026 and the Cigna Healthy Workforce Gold Designation in 2025. These recognitions reflect our ongoing commitment to creating a workplace where employees are valued, supported, and empowered to do their best work. At Cambridge, we are proud to foster an environment where people can grow, contribute, and make a meaningful impact. Learn more at . We are an equal opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to any protected status under applicable law or other similar factors that are not job-related. We encourage all qualified individuals to apply for employment. Selected applicants may be subject to a background investigation and/or education verification. We provide reasonable accommodation for qualified individuals with disabilities in accordance with federal, state, and local law. If you require a reasonable accommodation to participate in the application process or to perform the essential functions of the position, please contact our Recruiting Team at . Powered by JazzHR 5zpssyT3Zw
