This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. Senior Automation Engineer The Senior Automation Engineer is responsible for leading the design, implementation, optimization, and lifecycle support of manufacturing automation and control systems across the Logan site. This role drives automation strategy, capital project execution, equipment reliability improvements, and technical standardization while partnering with Manufacturing, Quality, Maintenance, EHS, and Engineering teams to support operational excellence and business growth. This position reports to the Sr. Project & Automation Manager and is part of the Project & Automation Engineering team located in Logan, Utah and will be an on-site role . What you will do: Lead the design, implementation, commissioning, and lifecycle management of PLC, HMI, SCADA, instrumentation, and industrial networking systems supporting manufacturing operations. Serve as the controls & automation engineering lead for capital projects, including automation architecture, vendor management, FAT/SAT execution, startup, and operational handoff. Develop and maintain site automation standards, cybersecurity practices, documentation standards, and equipment modernization roadmaps. Lead complex troubleshooting and root cause analysis for critical manufacturing systems to improve reliability, OEE, and process performance. Provide technical leadership and mentorship for automation and controls activities across the site, influencing engineering best practices, developing internal capabilities, and driving adoption of emerging automation technologies. Who you are: Bachelor's degree in Automation, Controls, Mechatronics, Electrical, Computer Engineering, or a related technical discipline, with 10+ years of industrial automation and controls engineering experience in a manufacturing environment; equivalent combinations of education, technical training, certifications, and directly related experience will also be considered. Demonstrated success leading automation scope for capital projects from concept through startup, including system design, vendor management, commissioning, and operational handoff. Expert-level experience programming and troubleshooting PLC and HMI platforms such as Rockwell Automation Studio 5000 and FactoryTalk View. Deep technical expertise with industrial control systems, instrumentation, electrical systems, and industrial communication networks. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 15% to support vendors, training, and other Cytiva facilities. Ability to work in manufacturing, utility, and laboratory environments. Ability to stand, walk, climb stairs, and occasionally lift up to 25 pounds. It would be a plus if you also possess previous experience in: Life sciences, biotechnology, pharmaceutical, or medical device manufacturing. Ignition, Manufacturing Execution Systems (MES), data historians, or ISA-88/ISA-95 automation frameworks. Commissioning, qualification, and validation of regulated manufacturing systems. Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . This job is also eligible for bonus/incentive pay. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
11/12/2026
Full time
This job is with Danaher, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System which makes everything possible. Senior Automation Engineer The Senior Automation Engineer is responsible for leading the design, implementation, optimization, and lifecycle support of manufacturing automation and control systems across the Logan site. This role drives automation strategy, capital project execution, equipment reliability improvements, and technical standardization while partnering with Manufacturing, Quality, Maintenance, EHS, and Engineering teams to support operational excellence and business growth. This position reports to the Sr. Project & Automation Manager and is part of the Project & Automation Engineering team located in Logan, Utah and will be an on-site role . What you will do: Lead the design, implementation, commissioning, and lifecycle management of PLC, HMI, SCADA, instrumentation, and industrial networking systems supporting manufacturing operations. Serve as the controls & automation engineering lead for capital projects, including automation architecture, vendor management, FAT/SAT execution, startup, and operational handoff. Develop and maintain site automation standards, cybersecurity practices, documentation standards, and equipment modernization roadmaps. Lead complex troubleshooting and root cause analysis for critical manufacturing systems to improve reliability, OEE, and process performance. Provide technical leadership and mentorship for automation and controls activities across the site, influencing engineering best practices, developing internal capabilities, and driving adoption of emerging automation technologies. Who you are: Bachelor's degree in Automation, Controls, Mechatronics, Electrical, Computer Engineering, or a related technical discipline, with 10+ years of industrial automation and controls engineering experience in a manufacturing environment; equivalent combinations of education, technical training, certifications, and directly related experience will also be considered. Demonstrated success leading automation scope for capital projects from concept through startup, including system design, vendor management, commissioning, and operational handoff. Expert-level experience programming and troubleshooting PLC and HMI platforms such as Rockwell Automation Studio 5000 and FactoryTalk View. Deep technical expertise with industrial control systems, instrumentation, electrical systems, and industrial communication networks. Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel up to 15% to support vendors, training, and other Cytiva facilities. Ability to work in manufacturing, utility, and laboratory environments. Ability to stand, walk, climb stairs, and occasionally lift up to 25 pounds. It would be a plus if you also possess previous experience in: Life sciences, biotechnology, pharmaceutical, or medical device manufacturing. Ignition, Manufacturing Execution Systems (MES), data historians, or ISA-88/ISA-95 automation frameworks. Commissioning, qualification, and validation of regulated manufacturing systems. Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . This job is also eligible for bonus/incentive pay. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here . For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1- or .
Job Description Job Description Description TL;DR Kharon is seeking a full-time AI Engineer based in Denver. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES: Design, develop, and ship proof-of-concept AI applications within days or weeks. Work in fast, agile cycles to test ideas, gather feedback, and refine models and interfaces. Build and integrate advanced AI components, including Model Context Protocol clients and servers, foundation model fine-tuning, and multi-agent orchestration frameworks (eg. Claude Agent SDK, LangChain, AutoGPTI) Take features from idea to production, including architecting data flows, writing high-quality code, containerizing services, and deploying them in secure cloud environments (e.g., AWS). Partner closely with product managers, designers, engineers, and data scientists to translate abstract business problems into concrete, scalable AI systems. Develop production-grade data pipelines integrating data to/from AI systems. Develop and maintain internal tools to speed up development cycles, CI/CD scripts, evaluation harnesses, dashboards, and secure sandbox environments. Ensure AI systems are monitored, explainable, and aligned with ethical, regulatory, and performance standards. Stay at the forefront of AI/ML advancements, evaluate open-source frameworks, and share best practices across the team. QUALIFICATIONS: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field preferred. 4+ years of software engineering or machine learning experience, with a focus on applied AI. Strong software development skills in Python and experience with libraries like Langchain/Langgraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, PySpark/Polars/Pandas. Experience with tracing systems (MLFlow, Sentry), RAG Systems, Memory Systems, MCP Servers, Agent Skills, and knowledge of different models and tradeoffs. Strong understanding of how to make use of AI tools for rapid development (Cursor, Claude Code, etc) Familiarity with containerization (Docker), cloud deployment (AWS preferred, Github Actions) Demonstrated ability to ship high-quality, production-ready ML/AI systems under tight iteration cycles. Passion for solving complex problems with real-world impact, especially in high-stakes or regulated domains. Excellent communication skills and the ability to thrive in cross-functional, mission-driven environments. ABOUT KHARON: Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a AI Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: Fully sponsored medical, dental, and vision insurances FSA program for both medical and dependent care Long term disability 401k + Roth with matching and immediate vesting Flexible paid time off + 11 paid holidays The base salary range at Kharon is set between $130,000 to $160,000 . Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package. If interested in pursuing this position, please visit to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.
11/12/2026
Full time
Job Description Job Description Description TL;DR Kharon is seeking a full-time AI Engineer based in Denver. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES: Design, develop, and ship proof-of-concept AI applications within days or weeks. Work in fast, agile cycles to test ideas, gather feedback, and refine models and interfaces. Build and integrate advanced AI components, including Model Context Protocol clients and servers, foundation model fine-tuning, and multi-agent orchestration frameworks (eg. Claude Agent SDK, LangChain, AutoGPTI) Take features from idea to production, including architecting data flows, writing high-quality code, containerizing services, and deploying them in secure cloud environments (e.g., AWS). Partner closely with product managers, designers, engineers, and data scientists to translate abstract business problems into concrete, scalable AI systems. Develop production-grade data pipelines integrating data to/from AI systems. Develop and maintain internal tools to speed up development cycles, CI/CD scripts, evaluation harnesses, dashboards, and secure sandbox environments. Ensure AI systems are monitored, explainable, and aligned with ethical, regulatory, and performance standards. Stay at the forefront of AI/ML advancements, evaluate open-source frameworks, and share best practices across the team. QUALIFICATIONS: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field preferred. 4+ years of software engineering or machine learning experience, with a focus on applied AI. Strong software development skills in Python and experience with libraries like Langchain/Langgraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, PySpark/Polars/Pandas. Experience with tracing systems (MLFlow, Sentry), RAG Systems, Memory Systems, MCP Servers, Agent Skills, and knowledge of different models and tradeoffs. Strong understanding of how to make use of AI tools for rapid development (Cursor, Claude Code, etc) Familiarity with containerization (Docker), cloud deployment (AWS preferred, Github Actions) Demonstrated ability to ship high-quality, production-ready ML/AI systems under tight iteration cycles. Passion for solving complex problems with real-world impact, especially in high-stakes or regulated domains. Excellent communication skills and the ability to thrive in cross-functional, mission-driven environments. ABOUT KHARON: Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today's leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we're providing intelligence that's at the heart of those circumstances. We connect the dots in a way that's meaningful. Now, we're experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a AI Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we're growing at a rate that makes us unstoppable. If you're looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don't take ourselves seriously but we're serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We're nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: Fully sponsored medical, dental, and vision insurances FSA program for both medical and dependent care Long term disability 401k + Roth with matching and immediate vesting Flexible paid time off + 11 paid holidays The base salary range at Kharon is set between $130,000 to $160,000 . Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package. If interested in pursuing this position, please visit to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Contract Technical Lead We are seeking a highly technical, hands-on Technical Lead to support a large-scale enterprise migration and modernization initiative on a contractual basis with CapTech. This is a player-coach role for someone who can set technical direction while remaining deeply involved in implementation, design and code reviews, troubleshooting, and day-to-day guidance of engineering teams. The ideal candidate is a senior Java engineer who has progressed into technical leadership or architecture while remaining hands-on, with deep experience across Java, AWS, enterprise integration, APIs, and complex data migrations. What You'll Do Lead technical design and implementation for a complex enterprise migration and modernization program. Remain hands-on with Java/backend development, making implementation decisions, reviewing code and designs, and unblocking developers. Design and troubleshoot AWS solutions across compute, storage, networking, services, and deployment. Define REST APIs and service architectures, including contracts, versioning, integrations, resilience, and failure handling. Lead complex data migration and architecture decisions involving relational data, lineage, reconciliation, transformation, and authoritative data sources. Design event-driven solutions using messaging, queues, producer/consumer patterns, and asynchronous workflows. Integrate modern cloud applications with legacy databases, APIs, messaging platforms, files/SFTP, and enterprise adapters. Drive CI/CD and Infrastructure as Code practices using Git/GitHub, Harness, Terraform, and related technologies. Establish production-ready observability and support practices, including Dynatrace, logging, monitoring, retries, error handling, and troubleshooting. Incorporate enterprise identity and security standards, including Entra ID and role-based access controls. Translate architecture into actionable technical stories and implementation plans. Mentor engineers, establish development standards, and provide technical direction throughout delivery. Partner with business stakeholders to understand operational requirements and appropriately challenge technical or implementation assumptions. Qualifications Required Qualifications: 10+ years of software engineering experience, ideally within complex enterprise environments. Recent, hands-on experience with Java and backend engineering. 3-5+ years of AWS architecture/design experience, with the ability to troubleshoot at an implementation level. Experience serving as a Technical Lead, Lead Java Engineer, Lead Backend Engineer, Application Architect, or hands-on Solution Architect. Strong experience with REST APIs, microservices/service design, and enterprise integration patterns. Experience leading or supporting large-scale migrations, application modernization, or legacy transformation programs. Strong knowledge of relational databases, data migration, reconciliation, lineage, and system-of-record decisions. Experience with event-driven architecture, messaging, and asynchronous systems. Experience with Terraform, CI/CD, Git/GitHub, and modern deployment practices. Experience with production observability and support, ideally including Dynatrace. Working knowledge of enterprise security and identity, including Entra ID. Ability to balance hands-on engineering with technical leadership, mentoring, story decomposition, and stakeholder communication. Preferred Experience modernizing or migrating complex legacy enterprise systems to AWS. Background working in environments with complicated system integrations, high-volume data, or mission-critical applications. Experience within airline, rail, transportation, or similarly complex operational industries. Experience supporting systems involving crew, employee records, training, certification, or other operational data. Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $80/hr-100/hr. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
11/12/2026
Full time
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Contract Technical Lead We are seeking a highly technical, hands-on Technical Lead to support a large-scale enterprise migration and modernization initiative on a contractual basis with CapTech. This is a player-coach role for someone who can set technical direction while remaining deeply involved in implementation, design and code reviews, troubleshooting, and day-to-day guidance of engineering teams. The ideal candidate is a senior Java engineer who has progressed into technical leadership or architecture while remaining hands-on, with deep experience across Java, AWS, enterprise integration, APIs, and complex data migrations. What You'll Do Lead technical design and implementation for a complex enterprise migration and modernization program. Remain hands-on with Java/backend development, making implementation decisions, reviewing code and designs, and unblocking developers. Design and troubleshoot AWS solutions across compute, storage, networking, services, and deployment. Define REST APIs and service architectures, including contracts, versioning, integrations, resilience, and failure handling. Lead complex data migration and architecture decisions involving relational data, lineage, reconciliation, transformation, and authoritative data sources. Design event-driven solutions using messaging, queues, producer/consumer patterns, and asynchronous workflows. Integrate modern cloud applications with legacy databases, APIs, messaging platforms, files/SFTP, and enterprise adapters. Drive CI/CD and Infrastructure as Code practices using Git/GitHub, Harness, Terraform, and related technologies. Establish production-ready observability and support practices, including Dynatrace, logging, monitoring, retries, error handling, and troubleshooting. Incorporate enterprise identity and security standards, including Entra ID and role-based access controls. Translate architecture into actionable technical stories and implementation plans. Mentor engineers, establish development standards, and provide technical direction throughout delivery. Partner with business stakeholders to understand operational requirements and appropriately challenge technical or implementation assumptions. Qualifications Required Qualifications: 10+ years of software engineering experience, ideally within complex enterprise environments. Recent, hands-on experience with Java and backend engineering. 3-5+ years of AWS architecture/design experience, with the ability to troubleshoot at an implementation level. Experience serving as a Technical Lead, Lead Java Engineer, Lead Backend Engineer, Application Architect, or hands-on Solution Architect. Strong experience with REST APIs, microservices/service design, and enterprise integration patterns. Experience leading or supporting large-scale migrations, application modernization, or legacy transformation programs. Strong knowledge of relational databases, data migration, reconciliation, lineage, and system-of-record decisions. Experience with event-driven architecture, messaging, and asynchronous systems. Experience with Terraform, CI/CD, Git/GitHub, and modern deployment practices. Experience with production observability and support, ideally including Dynatrace. Working knowledge of enterprise security and identity, including Entra ID. Ability to balance hands-on engineering with technical leadership, mentoring, story decomposition, and stakeholder communication. Preferred Experience modernizing or migrating complex legacy enterprise systems to AWS. Background working in environments with complicated system integrations, high-volume data, or mission-critical applications. Experience within airline, rail, transportation, or similarly complex operational industries. Experience supporting systems involving crew, employee records, training, certification, or other operational data. Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $80/hr-100/hr. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Contract Technical Lead We are seeking a highly technical, hands-on Technical Lead to support a large-scale enterprise migration and modernization initiative on a contractual basis with CapTech. This is a player-coach role for someone who can set technical direction while remaining deeply involved in implementation, design and code reviews, troubleshooting, and day-to-day guidance of engineering teams. The ideal candidate is a senior Java engineer who has progressed into technical leadership or architecture while remaining hands-on, with deep experience across Java, AWS, enterprise integration, APIs, and complex data migrations. What You'll Do Lead technical design and implementation for a complex enterprise migration and modernization program. Remain hands-on with Java/backend development, making implementation decisions, reviewing code and designs, and unblocking developers. Design and troubleshoot AWS solutions across compute, storage, networking, services, and deployment. Define REST APIs and service architectures, including contracts, versioning, integrations, resilience, and failure handling. Lead complex data migration and architecture decisions involving relational data, lineage, reconciliation, transformation, and authoritative data sources. Design event-driven solutions using messaging, queues, producer/consumer patterns, and asynchronous workflows. Integrate modern cloud applications with legacy databases, APIs, messaging platforms, files/SFTP, and enterprise adapters. Drive CI/CD and Infrastructure as Code practices using Git/GitHub, Harness, Terraform, and related technologies. Establish production-ready observability and support practices, including Dynatrace, logging, monitoring, retries, error handling, and troubleshooting. Incorporate enterprise identity and security standards, including Entra ID and role-based access controls. Translate architecture into actionable technical stories and implementation plans. Mentor engineers, establish development standards, and provide technical direction throughout delivery. Partner with business stakeholders to understand operational requirements and appropriately challenge technical or implementation assumptions. Qualifications Required Qualifications: 10+ years of software engineering experience, ideally within complex enterprise environments. Recent, hands-on experience with Java and backend engineering. 3-5+ years of AWS architecture/design experience, with the ability to troubleshoot at an implementation level. Experience serving as a Technical Lead, Lead Java Engineer, Lead Backend Engineer, Application Architect, or hands-on Solution Architect. Strong experience with REST APIs, microservices/service design, and enterprise integration patterns. Experience leading or supporting large-scale migrations, application modernization, or legacy transformation programs. Strong knowledge of relational databases, data migration, reconciliation, lineage, and system-of-record decisions. Experience with event-driven architecture, messaging, and asynchronous systems. Experience with Terraform, CI/CD, Git/GitHub, and modern deployment practices. Experience with production observability and support, ideally including Dynatrace. Working knowledge of enterprise security and identity, including Entra ID. Ability to balance hands-on engineering with technical leadership, mentoring, story decomposition, and stakeholder communication. Preferred Experience modernizing or migrating complex legacy enterprise systems to AWS. Background working in environments with complicated system integrations, high-volume data, or mission-critical applications. Experience within airline, rail, transportation, or similarly complex operational industries. Experience supporting systems involving crew, employee records, training, certification, or other operational data. Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $80/hr-100/hr. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
11/12/2026
Full time
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Contract Technical Lead We are seeking a highly technical, hands-on Technical Lead to support a large-scale enterprise migration and modernization initiative on a contractual basis with CapTech. This is a player-coach role for someone who can set technical direction while remaining deeply involved in implementation, design and code reviews, troubleshooting, and day-to-day guidance of engineering teams. The ideal candidate is a senior Java engineer who has progressed into technical leadership or architecture while remaining hands-on, with deep experience across Java, AWS, enterprise integration, APIs, and complex data migrations. What You'll Do Lead technical design and implementation for a complex enterprise migration and modernization program. Remain hands-on with Java/backend development, making implementation decisions, reviewing code and designs, and unblocking developers. Design and troubleshoot AWS solutions across compute, storage, networking, services, and deployment. Define REST APIs and service architectures, including contracts, versioning, integrations, resilience, and failure handling. Lead complex data migration and architecture decisions involving relational data, lineage, reconciliation, transformation, and authoritative data sources. Design event-driven solutions using messaging, queues, producer/consumer patterns, and asynchronous workflows. Integrate modern cloud applications with legacy databases, APIs, messaging platforms, files/SFTP, and enterprise adapters. Drive CI/CD and Infrastructure as Code practices using Git/GitHub, Harness, Terraform, and related technologies. Establish production-ready observability and support practices, including Dynatrace, logging, monitoring, retries, error handling, and troubleshooting. Incorporate enterprise identity and security standards, including Entra ID and role-based access controls. Translate architecture into actionable technical stories and implementation plans. Mentor engineers, establish development standards, and provide technical direction throughout delivery. Partner with business stakeholders to understand operational requirements and appropriately challenge technical or implementation assumptions. Qualifications Required Qualifications: 10+ years of software engineering experience, ideally within complex enterprise environments. Recent, hands-on experience with Java and backend engineering. 3-5+ years of AWS architecture/design experience, with the ability to troubleshoot at an implementation level. Experience serving as a Technical Lead, Lead Java Engineer, Lead Backend Engineer, Application Architect, or hands-on Solution Architect. Strong experience with REST APIs, microservices/service design, and enterprise integration patterns. Experience leading or supporting large-scale migrations, application modernization, or legacy transformation programs. Strong knowledge of relational databases, data migration, reconciliation, lineage, and system-of-record decisions. Experience with event-driven architecture, messaging, and asynchronous systems. Experience with Terraform, CI/CD, Git/GitHub, and modern deployment practices. Experience with production observability and support, ideally including Dynatrace. Working knowledge of enterprise security and identity, including Entra ID. Ability to balance hands-on engineering with technical leadership, mentoring, story decomposition, and stakeholder communication. Preferred Experience modernizing or migrating complex legacy enterprise systems to AWS. Background working in environments with complicated system integrations, high-volume data, or mission-critical applications. Experience within airline, rail, transportation, or similarly complex operational industries. Experience supporting systems involving crew, employee records, training, certification, or other operational data. Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $80/hr-100/hr. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Job Description Job Description Genesis10 is currently seeking a Senior AI Engineer for a contract to hire position with a Regional Financial Institution located in Columbus, OH. This is a 3+ month contract-to-hire opportunity. Candidates can also be located in: Charlotte, NC; Atlanta, GA: Chicago, IL; Minnetonka, MN; Detroit, MI; Dallas, TX. Compensation: $65.00 - $75.00 per hour, W2, based on qualifications Position Overview: We are looking for a talented Senior AI Engineer to contribute to the design, development, and support of AI tools and platforms for developers across the company. This is a hands-on engineering role centered on GCP, Gemini, Vertex AI, Java Spring Boot, and React.js. The ideal candidate will have demonstrable experience building and integrating with AI tools and services to deliver reliable, secure, and maintainable solutions that accelerate software development. Key Responsibilities: Develop and maintain AI platforms, tools, and frameworks used by engineers across the company, including Claude Code, GitHub Copilot, MCP servers, plugins, skills, and agentic frameworks Implement AI platform services, orchestration patterns, reference implementations, and shared integration components Design and deliver tools that support the development of custom agents and workflows Integrate and operationalize AI tools and services with cloud, security, development, and enterprise technology platforms Build secure, scalable, reliable, observable, performant, and maintainable services for custom agents and AI tool integrations Provide technical support and guidance to development teams building, deploying, and operating custom agents and MCP servers Contribute to framework lifecycle practices, including versioning, release management, documentation, adoption, support, and continuous improvement Implement logging, metrics, token-utilization monitoring, tracing, and other operational capabilities for AI services running on GCP Apply enterprise security, privacy, responsible AI, access-control, governance, cost-management, and model-risk practices to AI solutions Collaborate with development teams, security, and architecture to define requirements and deliver platform capabilities Participate in code reviews, technical discussions, troubleshooting, and knowledge-sharing activities Mentor junior engineers on the team and on development teams, contributing to a culture of continuous improvement Primary Requirements: Bachelor's degree or equivalent work experience in computer science, engineering, artificial intelligence, or a related field 5-7+ years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline Proven experience delivering high-quality software solutions in production environments Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities Experience with cloud-based AI services platforms such as GCP/AWS Gemini, and Vertex AI or comparable model platforms Solid understanding of application architecture, integration patterns, APIs, and software design principles Experience developing Java REST APIs and services with Spring Boot and working knowledge of React.js or comparable front-end technologies Experience with secure API integrations and OAuth 2.0 / OpenID Connect authorization patterns Understanding of the software development lifecycle, CI/CD, observability, reliability, security, privacy, and responsible AI practices Strong problem-solving skills, attention to detail, technical communication, and ability to collaborate effectively across teams AI Platforms: GCP/AWS Cloud, Gemini, Vertex AI, model garden, model runtime, model gateway, and agent gateway AI Engineering: custom agent design, sequential workflows, multi-agent systems, deterministic graph-based agents, and reusable orchestration patterns Developer Tools: Claude Code, GitHub Copilot, custom instructions, prompts, skills, plugins, and extensions Agent Integration: MCP servers and clients, tools, resources, data-source integrations, A2A patterns, and agent-to-agent communication Frameworks: Google ADK, Spring AI, LangChain, LangChain4j, or comparable AI/LLM integration libraries Application Development: Java, Spring Boot, REST APIs, React.js, microservices, and cloud-native application patterns Security and Governance: OAuth 2.0, OpenID Connect, service accounts, delegated access, model governance, GCP Model Armor, privacy, responsible AI, and access control Operations: CI/CD, Harness, Azure DevOps, logging, metrics, tracing, token utilization, performance, reliability, and incident support Desired Skills: Hands-on experience using Claude Code and GitHub Copilot in an engineering workflow Designing or implementing custom AI agents, reusable orchestration patterns, shared integrations, or reference implementations Building sequential, multi-agent, or deterministic graph-based agent workflows Building or integrating MCP servers and clients to expose tools, resources, or data sources to AI agents Enabling agent-to-agent communication using A2A or comparable protocols Experience with Google ADK, Spring AI, LangChain, LangChain4j, or similar LLM integration libraries and SDKs Experience with Gemini Agent Platform / Vertex AI capabilities such as model garden, model runtime, model gateway, or agent gateway Implementing model governance controls such as GCP Model Armor, cost controls, token limits, rate limits, and access policies Implementing logging, metrics, distributed tracing, token-utilization monitoring, and operational dashboards for AI services on GCP Exposure to containerization, microservices, and cloud-native application architecture Experience working with CI/CD pipelines in Harness and Azure DevOps Familiarity with Agile/Scrum methodologies and development practices for shared platform capabilities Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/12/2026
Full time
Job Description Job Description Genesis10 is currently seeking a Senior AI Engineer for a contract to hire position with a Regional Financial Institution located in Columbus, OH. This is a 3+ month contract-to-hire opportunity. Candidates can also be located in: Charlotte, NC; Atlanta, GA: Chicago, IL; Minnetonka, MN; Detroit, MI; Dallas, TX. Compensation: $65.00 - $75.00 per hour, W2, based on qualifications Position Overview: We are looking for a talented Senior AI Engineer to contribute to the design, development, and support of AI tools and platforms for developers across the company. This is a hands-on engineering role centered on GCP, Gemini, Vertex AI, Java Spring Boot, and React.js. The ideal candidate will have demonstrable experience building and integrating with AI tools and services to deliver reliable, secure, and maintainable solutions that accelerate software development. Key Responsibilities: Develop and maintain AI platforms, tools, and frameworks used by engineers across the company, including Claude Code, GitHub Copilot, MCP servers, plugins, skills, and agentic frameworks Implement AI platform services, orchestration patterns, reference implementations, and shared integration components Design and deliver tools that support the development of custom agents and workflows Integrate and operationalize AI tools and services with cloud, security, development, and enterprise technology platforms Build secure, scalable, reliable, observable, performant, and maintainable services for custom agents and AI tool integrations Provide technical support and guidance to development teams building, deploying, and operating custom agents and MCP servers Contribute to framework lifecycle practices, including versioning, release management, documentation, adoption, support, and continuous improvement Implement logging, metrics, token-utilization monitoring, tracing, and other operational capabilities for AI services running on GCP Apply enterprise security, privacy, responsible AI, access-control, governance, cost-management, and model-risk practices to AI solutions Collaborate with development teams, security, and architecture to define requirements and deliver platform capabilities Participate in code reviews, technical discussions, troubleshooting, and knowledge-sharing activities Mentor junior engineers on the team and on development teams, contributing to a culture of continuous improvement Primary Requirements: Bachelor's degree or equivalent work experience in computer science, engineering, artificial intelligence, or a related field 5-7+ years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline Proven experience delivering high-quality software solutions in production environments Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities Experience with cloud-based AI services platforms such as GCP/AWS Gemini, and Vertex AI or comparable model platforms Solid understanding of application architecture, integration patterns, APIs, and software design principles Experience developing Java REST APIs and services with Spring Boot and working knowledge of React.js or comparable front-end technologies Experience with secure API integrations and OAuth 2.0 / OpenID Connect authorization patterns Understanding of the software development lifecycle, CI/CD, observability, reliability, security, privacy, and responsible AI practices Strong problem-solving skills, attention to detail, technical communication, and ability to collaborate effectively across teams AI Platforms: GCP/AWS Cloud, Gemini, Vertex AI, model garden, model runtime, model gateway, and agent gateway AI Engineering: custom agent design, sequential workflows, multi-agent systems, deterministic graph-based agents, and reusable orchestration patterns Developer Tools: Claude Code, GitHub Copilot, custom instructions, prompts, skills, plugins, and extensions Agent Integration: MCP servers and clients, tools, resources, data-source integrations, A2A patterns, and agent-to-agent communication Frameworks: Google ADK, Spring AI, LangChain, LangChain4j, or comparable AI/LLM integration libraries Application Development: Java, Spring Boot, REST APIs, React.js, microservices, and cloud-native application patterns Security and Governance: OAuth 2.0, OpenID Connect, service accounts, delegated access, model governance, GCP Model Armor, privacy, responsible AI, and access control Operations: CI/CD, Harness, Azure DevOps, logging, metrics, tracing, token utilization, performance, reliability, and incident support Desired Skills: Hands-on experience using Claude Code and GitHub Copilot in an engineering workflow Designing or implementing custom AI agents, reusable orchestration patterns, shared integrations, or reference implementations Building sequential, multi-agent, or deterministic graph-based agent workflows Building or integrating MCP servers and clients to expose tools, resources, or data sources to AI agents Enabling agent-to-agent communication using A2A or comparable protocols Experience with Google ADK, Spring AI, LangChain, LangChain4j, or similar LLM integration libraries and SDKs Experience with Gemini Agent Platform / Vertex AI capabilities such as model garden, model runtime, model gateway, or agent gateway Implementing model governance controls such as GCP Model Armor, cost controls, token limits, rate limits, and access policies Implementing logging, metrics, distributed tracing, token-utilization monitoring, and operational dashboards for AI services on GCP Exposure to containerization, microservices, and cloud-native application architecture Experience working with CI/CD pipelines in Harness and Azure DevOps Familiarity with Agile/Scrum methodologies and development practices for shared platform capabilities Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description Job Description Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! Job Summary JCS Solutions is seeking an accomplished Senior Storage Engineer to join our team supporting enterprise infrastructure operations in Fort Belvoir, VA. This role will lead the design, implementation, administration, and optimization of enterprise storage platforms, with a focus on maintaining high availability, performance, scalability, security, and operational resilience. The ideal candidate will have extensive hands-on experience with storage architecture, SAN/NAS technologies, data protection, performance optimization, lifecycle management, and supporting integrated enterprise infrastructure environments. We are looking for a candidate who can troubleshoot and resolve complex technical challenges, work effectively across infrastructure teams, and clearly communicate technical information to both customers and team members. US Citizenship is required US Clearance: Active TS/SCI Position Location: Ft Belvoir, VA Salary Range: $70,000 to $100,000. What's in it for you: Join a premier technology firm specializing in innovative solutions. Be part of a collaborative, inclusive, and innovative work culture. Enjoy tremendous growth potential in a high-performing team environment. A robust benefits package: Health, dental, and vision insurance Life insurance Short-and-long term disability Paid time off (PTO) 401k retirement plan with employer match Annual Professional Development Reimbursement Program And more! What you will do: Leading the engineering, administration, and support of enterprise storage environments, with a primary focus on NetApp and Dell Unity platforms. Designing and maintaining highly available, scalable storage solutions for file, block, and hybrid workloads. Performing provisioning, configuration, upgrades, migrations, and decommissioning of storage systems. Managing and optimizing storage environments, including aggregates, volumes, SVMs, snapshots, replication, quotas, tiering, and protocol configuration. Administering NetApp, Dell EMC, and Hitachi storage arrays, including pools, LUNs, file systems, NAS servers, snapshots, replication, FAST VP/tiering, and host connectivity. Supporting SAN and NAS infrastructure, including Fibre Channel, iSCSI, NFS, and SMB/CIFS protocols. Ensuring system compliance with DISA STIG and DoD security requirements by leading critical hardening efforts. Monitoring storage health, capacity, utilization, and performance; identifying trends and recommending remediation or expansion strategies. Troubleshooting storage, replication, latency, pathing, and connectivity issues across hosts, hypervisors, and network fabrics. Planning and executing data migration efforts between legacy and target storage platforms with minimal downtime. Implementing and supporting business continuity and disaster recovery capabilities, including snapshot policies, replication, failover, and recovery testing. Providing mentorship and guidance to junior administrators and team members to foster a deeper understanding of storage technologies. Developing and maintaining documentation related to storage architecture, processes, and procedures. Evaluating and recommending emerging storage solutions to continuously optimize system performance and efficiency. Supporting projects to enhance the security, efficiency, or capability of the storage environment. Working with vendors and third-party providers for troubleshooting and issue resolution. What you will bring: Active Top Secret/SCI clearance required at time of hire. Candidate must, at a minimum, meet DoD 8570.11-IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GSEC, or SSCP) at time of consideration. Bachelor's degree with 8 - 12 years of prior relevant experience or master's degree with 6 - 10 years of prior relevant experience. Additional technical experience may be considered in lieu of degree. Current Top Secret/SCI clearance at time of consideration. Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GSEC, or SSCP) at time of consideration. Advanced knowledge of storage systems architecture, lifecycle engineering, and infrastructure modernization principles. Demonstrated experience with NetApp, Dell EMC, Hitachi, VMware vSAN and other storage technologies. Strong working knowledge of enterprise computing environments (physical, virtual, hybrid) and server virtualization platforms (e.g., VMware). Working knowledge of virtualization such as VMware vSphere and backup technologies such as NetBackup, Commvault and Veeam. Strong knowledge of SANs, Fibre Channel fabric, and storage technologies. Deep understanding of DISA STIGs, system hardening, and DoD security compliance frameworks. Develop storage standards, architecture documentation, operational procedures, and support runbooks. Strong troubleshooting skills across systems, virtualization, and storage layers. How you will wow us: Experience supporting large-scale Windows and Linux server environments. ITIL 5 Foundation Certification Experience with storage migrations using native and third-party tools. Knowledge of backup platforms such as Commvault, Veeam, NetBackup, or similar. Familiarity with automation tools such as Ansible or PowerCLI for automation tasks. Experience in regulated, highly available, or mission-critical environments. Prior work within the Department of War and familiarity with its IT environments. JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. JCS is both a Great Place to Work and a Top Places to Work certified company. Our employees embody our core values, and we are looking for others who do too! Customer Experience: Strive for excellence and delight our clients Innovation: Embrace creative thinking to enable continual growth and powerful solutions Accountability: Take ownership of and pride in our actions and service delivery Inspire: Be inspired to be your best self and have fun in the process Integrity: Do the right thing, the right way, every time! Stewardship: The careful and responsible management of something entrusted to our care. At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $70,000.00 - $100,000.00 Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. NOTICE : Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app. Powered by JazzHR PJUUXPu8r7
11/12/2026
Full time
Job Description Job Description Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! Job Summary JCS Solutions is seeking an accomplished Senior Storage Engineer to join our team supporting enterprise infrastructure operations in Fort Belvoir, VA. This role will lead the design, implementation, administration, and optimization of enterprise storage platforms, with a focus on maintaining high availability, performance, scalability, security, and operational resilience. The ideal candidate will have extensive hands-on experience with storage architecture, SAN/NAS technologies, data protection, performance optimization, lifecycle management, and supporting integrated enterprise infrastructure environments. We are looking for a candidate who can troubleshoot and resolve complex technical challenges, work effectively across infrastructure teams, and clearly communicate technical information to both customers and team members. US Citizenship is required US Clearance: Active TS/SCI Position Location: Ft Belvoir, VA Salary Range: $70,000 to $100,000. What's in it for you: Join a premier technology firm specializing in innovative solutions. Be part of a collaborative, inclusive, and innovative work culture. Enjoy tremendous growth potential in a high-performing team environment. A robust benefits package: Health, dental, and vision insurance Life insurance Short-and-long term disability Paid time off (PTO) 401k retirement plan with employer match Annual Professional Development Reimbursement Program And more! What you will do: Leading the engineering, administration, and support of enterprise storage environments, with a primary focus on NetApp and Dell Unity platforms. Designing and maintaining highly available, scalable storage solutions for file, block, and hybrid workloads. Performing provisioning, configuration, upgrades, migrations, and decommissioning of storage systems. Managing and optimizing storage environments, including aggregates, volumes, SVMs, snapshots, replication, quotas, tiering, and protocol configuration. Administering NetApp, Dell EMC, and Hitachi storage arrays, including pools, LUNs, file systems, NAS servers, snapshots, replication, FAST VP/tiering, and host connectivity. Supporting SAN and NAS infrastructure, including Fibre Channel, iSCSI, NFS, and SMB/CIFS protocols. Ensuring system compliance with DISA STIG and DoD security requirements by leading critical hardening efforts. Monitoring storage health, capacity, utilization, and performance; identifying trends and recommending remediation or expansion strategies. Troubleshooting storage, replication, latency, pathing, and connectivity issues across hosts, hypervisors, and network fabrics. Planning and executing data migration efforts between legacy and target storage platforms with minimal downtime. Implementing and supporting business continuity and disaster recovery capabilities, including snapshot policies, replication, failover, and recovery testing. Providing mentorship and guidance to junior administrators and team members to foster a deeper understanding of storage technologies. Developing and maintaining documentation related to storage architecture, processes, and procedures. Evaluating and recommending emerging storage solutions to continuously optimize system performance and efficiency. Supporting projects to enhance the security, efficiency, or capability of the storage environment. Working with vendors and third-party providers for troubleshooting and issue resolution. What you will bring: Active Top Secret/SCI clearance required at time of hire. Candidate must, at a minimum, meet DoD 8570.11-IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GSEC, or SSCP) at time of consideration. Bachelor's degree with 8 - 12 years of prior relevant experience or master's degree with 6 - 10 years of prior relevant experience. Additional technical experience may be considered in lieu of degree. Current Top Secret/SCI clearance at time of consideration. Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GSEC, or SSCP) at time of consideration. Advanced knowledge of storage systems architecture, lifecycle engineering, and infrastructure modernization principles. Demonstrated experience with NetApp, Dell EMC, Hitachi, VMware vSAN and other storage technologies. Strong working knowledge of enterprise computing environments (physical, virtual, hybrid) and server virtualization platforms (e.g., VMware). Working knowledge of virtualization such as VMware vSphere and backup technologies such as NetBackup, Commvault and Veeam. Strong knowledge of SANs, Fibre Channel fabric, and storage technologies. Deep understanding of DISA STIGs, system hardening, and DoD security compliance frameworks. Develop storage standards, architecture documentation, operational procedures, and support runbooks. Strong troubleshooting skills across systems, virtualization, and storage layers. How you will wow us: Experience supporting large-scale Windows and Linux server environments. ITIL 5 Foundation Certification Experience with storage migrations using native and third-party tools. Knowledge of backup platforms such as Commvault, Veeam, NetBackup, or similar. Familiarity with automation tools such as Ansible or PowerCLI for automation tasks. Experience in regulated, highly available, or mission-critical environments. Prior work within the Department of War and familiarity with its IT environments. JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. JCS is both a Great Place to Work and a Top Places to Work certified company. Our employees embody our core values, and we are looking for others who do too! Customer Experience: Strive for excellence and delight our clients Innovation: Embrace creative thinking to enable continual growth and powerful solutions Accountability: Take ownership of and pride in our actions and service delivery Inspire: Be inspired to be your best self and have fun in the process Integrity: Do the right thing, the right way, every time! Stewardship: The careful and responsible management of something entrusted to our care. At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $70,000.00 - $100,000.00 Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. NOTICE : Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app. Powered by JazzHR PJUUXPu8r7
Job Description Job Description Role Summary We are hiring an AI Engineer to design, build, and operate agentic AI systems - LLM-powered agents that reason over enterprise data, call tools, and execute multi-step workflows end to end. This is a hands-on engineering role at the center of how we automate complex technical and operational work. You will take ambiguous problems, decompose them into agent workflows, and ship production services that engineering teams depend on daily. This is an ideal role for an engineer with a strong Python and ML foundation who has already shipped LLM or RAG applications and now wants to go deeper into orchestration, tool-calling, and autonomous multi-agent architectures. You will work within an established platform and architecture, with senior engineers available for design review - but you will own your components from prototype through production. Key Responsibilities Agent Design & Orchestration Build and ship LLM-powered agents that plan, call tools, and complete multi-step tasks using frameworks such as LangChain, LangGraph, or equivalent orchestration libraries. Implement multi-agent workflows - planner, executor, reviewer, and specialist roles - including state handling, hand-off logic, retries, and graceful failure paths. Design and expose tools to agents via function-calling and Model Context Protocol (MCP) servers, wrapping internal APIs, databases, and enterprise systems as safe, well-scoped agent capabilities. Retrieval & Knowledge Systems Build and operationalize Retrieval-Augmented Generation (RAG) pipelines: chunking, embedding, vector and hybrid search, re-ranking, and context assembly. Integrate structured, semi-structured, and unstructured sources - SharePoint, Confluence, Jira, REST APIs, Excel, and SQL warehouses - into retrieval and agent context layers. Continuously improve answer grounding and reduce hallucination through better retrieval, prompt design, and context management. Engineering & Deployment Develop production Python services and APIs for agent and model inference using FastAPI, containerized with Docker and deployed through standard CI/CD pipelines. Instrument agents with tracing, token and cost accounting, latency monitoring, and structured logging so that behavior is observable and debuggable in production. Apply MLOps and LLMOps practices including version control for prompts and configs, automated regression testing, and safe rollout of model or prompt changes. Evaluation & Quality Build evaluation harnesses for agent workflows - golden datasets, task-level success metrics, LLM-as-judge scoring, and regression suites that gate releases. Measure and tune for accuracy, latency, and cost, and make explicit trade-offs between them based on the use case. Collaboration Partner with domain experts, data engineers, and product stakeholders to turn manual workflows into reliable automated agents. Deliver results through interfaces users actually adopt - Streamlit apps, chat interfaces, dashboards, and embedded integrations. Write clear design notes and runbooks, and participate actively in code and design reviews. Required Qualifications 3-5 years of professional software, ML, or data engineering experience, including at least 1 year building LLM-based or GenAI applications. Strong Python engineering skills - not just notebooks. Production code, testing, packaging, async patterns, and API development with FastAPI or similar. Hands-on experience with at least one LLM orchestration framework (LangChain, LangGraph, LlamaIndex, Semantic Kernel, or an equivalent) in a shipped application. Demonstrated experience building RAG systems: embeddings, vector stores (e.g., FAISS, pgvector, Pinecone, Chroma), and retrieval quality tuning. Practical command of prompt engineering, structured output, function/tool calling, and context-window management. Working knowledge of SQL and cloud data platforms (Snowflake, Databricks, or equivalent), and comfort writing queries against enterprise schemas. Experience containerizing and deploying services with Docker and shipping through CI/CD on a major cloud (Azure, AWS, or GCP). Solid grounding in ML fundamentals and familiarity with PyTorch, TensorFlow, or HuggingFace Transformers. Clear written and verbal communication, and the judgment to escalate when a problem is under-specified rather than guessing. Preferred Qualifications Experience building or consuming Model Context Protocol (MCP) servers, or comparable agent tool-integration layers. Production experience with multi-agent or agentic workflow systems, including human-in-the-loop checkpoints and approval gates. Familiarity with LLM observability and evaluation tooling such as LangSmith, Langfuse, Weights & Biases, or MLflow. Experience with workflow orchestration tools - Airflow, Dagster, Prefect - or analytics engineering with DBT. Exposure to model fine-tuning or parameter-efficient adaptation (LoRA/PEFT) and knowing when it is - and is not - the right answer. Background in a technical engineering domain (semiconductor, hardware validation, manufacturing, or similar) where agents operate over specialized data. Experience with AI governance, responsible-AI review, or enterprise security requirements for LLM deployments.
11/12/2026
Full time
Job Description Job Description Role Summary We are hiring an AI Engineer to design, build, and operate agentic AI systems - LLM-powered agents that reason over enterprise data, call tools, and execute multi-step workflows end to end. This is a hands-on engineering role at the center of how we automate complex technical and operational work. You will take ambiguous problems, decompose them into agent workflows, and ship production services that engineering teams depend on daily. This is an ideal role for an engineer with a strong Python and ML foundation who has already shipped LLM or RAG applications and now wants to go deeper into orchestration, tool-calling, and autonomous multi-agent architectures. You will work within an established platform and architecture, with senior engineers available for design review - but you will own your components from prototype through production. Key Responsibilities Agent Design & Orchestration Build and ship LLM-powered agents that plan, call tools, and complete multi-step tasks using frameworks such as LangChain, LangGraph, or equivalent orchestration libraries. Implement multi-agent workflows - planner, executor, reviewer, and specialist roles - including state handling, hand-off logic, retries, and graceful failure paths. Design and expose tools to agents via function-calling and Model Context Protocol (MCP) servers, wrapping internal APIs, databases, and enterprise systems as safe, well-scoped agent capabilities. Retrieval & Knowledge Systems Build and operationalize Retrieval-Augmented Generation (RAG) pipelines: chunking, embedding, vector and hybrid search, re-ranking, and context assembly. Integrate structured, semi-structured, and unstructured sources - SharePoint, Confluence, Jira, REST APIs, Excel, and SQL warehouses - into retrieval and agent context layers. Continuously improve answer grounding and reduce hallucination through better retrieval, prompt design, and context management. Engineering & Deployment Develop production Python services and APIs for agent and model inference using FastAPI, containerized with Docker and deployed through standard CI/CD pipelines. Instrument agents with tracing, token and cost accounting, latency monitoring, and structured logging so that behavior is observable and debuggable in production. Apply MLOps and LLMOps practices including version control for prompts and configs, automated regression testing, and safe rollout of model or prompt changes. Evaluation & Quality Build evaluation harnesses for agent workflows - golden datasets, task-level success metrics, LLM-as-judge scoring, and regression suites that gate releases. Measure and tune for accuracy, latency, and cost, and make explicit trade-offs between them based on the use case. Collaboration Partner with domain experts, data engineers, and product stakeholders to turn manual workflows into reliable automated agents. Deliver results through interfaces users actually adopt - Streamlit apps, chat interfaces, dashboards, and embedded integrations. Write clear design notes and runbooks, and participate actively in code and design reviews. Required Qualifications 3-5 years of professional software, ML, or data engineering experience, including at least 1 year building LLM-based or GenAI applications. Strong Python engineering skills - not just notebooks. Production code, testing, packaging, async patterns, and API development with FastAPI or similar. Hands-on experience with at least one LLM orchestration framework (LangChain, LangGraph, LlamaIndex, Semantic Kernel, or an equivalent) in a shipped application. Demonstrated experience building RAG systems: embeddings, vector stores (e.g., FAISS, pgvector, Pinecone, Chroma), and retrieval quality tuning. Practical command of prompt engineering, structured output, function/tool calling, and context-window management. Working knowledge of SQL and cloud data platforms (Snowflake, Databricks, or equivalent), and comfort writing queries against enterprise schemas. Experience containerizing and deploying services with Docker and shipping through CI/CD on a major cloud (Azure, AWS, or GCP). Solid grounding in ML fundamentals and familiarity with PyTorch, TensorFlow, or HuggingFace Transformers. Clear written and verbal communication, and the judgment to escalate when a problem is under-specified rather than guessing. Preferred Qualifications Experience building or consuming Model Context Protocol (MCP) servers, or comparable agent tool-integration layers. Production experience with multi-agent or agentic workflow systems, including human-in-the-loop checkpoints and approval gates. Familiarity with LLM observability and evaluation tooling such as LangSmith, Langfuse, Weights & Biases, or MLflow. Experience with workflow orchestration tools - Airflow, Dagster, Prefect - or analytics engineering with DBT. Exposure to model fine-tuning or parameter-efficient adaptation (LoRA/PEFT) and knowing when it is - and is not - the right answer. Background in a technical engineering domain (semiconductor, hardware validation, manufacturing, or similar) where agents operate over specialized data. Experience with AI governance, responsible-AI review, or enterprise security requirements for LLM deployments.
Job Description Job Description Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! Job Summary JCS Solutions is looking for an experienced Principal Cloud Engineer to join the Defense Enclave Services (DES) team. DES supports a large digital modernization program that is critical to the Defense Information Systems Agency (DISA) and the DoD Fourth Estate Agencies. This systems engineering role focuses on distributed systems and on how cloud infrastructure is built and maintained. You'll support several engineering projects that are modernizing the DoD environment, including moving applications and services from on-premises infrastructure to the cloud as part of zero-trust network initiatives. The work covers design, deployment, testing, and migration of the network solutions you develop. Location: Fort Meade, MD Shift: full-time, day-shift role on a hybrid schedule Clearance: Secret Certification: Active DoD 8140/8570 IAT Level II certification What's in it for you: Join a premier technology firm specializing in innovative solutions. Be part of a collaborative, inclusive, and innovative work culture. Enjoy tremendous growth potential in a high-performing team environment. A robust benefits package: Health, dental, and vision insurance Life insurance Short-and-long term disability Paid time off (PTO) 401k retirement plan with employer match Annual Professional Development Reimbursement Program And more! What you will do: Apply systems engineering and architecture experience to design zero-trust network solutions for a hybrid on-premises and Azure enclave. Apply knowledge of system virtualization and design so that network modernization efforts meet security requirements and can be implemented without disrupting operations. Support cloud deployment of modernized network services. Develop modern, secure network solutions using virtual switches, VPCs, and virtual firewalls. Provide input to the design of the enterprise's cloud and mission architecture. Evaluate and support application architectures across platforms so they align with cloud and application modernization strategies, capabilities, and requirements. Look for ways to improve, including changes that improve the user experience, increase efficiency, and lower sustainment costs. Enforce security best practices and guidelines, drawing on knowledge of security policies, network security, and data security. What you will bring: 12+ years of relevant experience. Expertise designing, deploying, and operating solutions built on Azure, AWS, or GCP. Experience with virtual switches, VPCs, and virtual firewalls. Experience with Identity and Access Management (IDAM), including Azure AD and CyberArk, Okta, or another modern ICAM solution. Understanding of federal government application, server, and network security requirements, such as NIST, FedRAMP, and FISMA. Ability to work well within a distributed technical team, with strong written and verbal communication skills. Education Requirements Bachelor's degree or equivalent experience. Required Certifications Certification in Governance of Enterprise IT (CGEIT). An active DoD 8140 IAT Level II certification, such as one of the following: Security+ CE, CySA+, CASP+ CE, CCNA-Security, CCNP Security, CCSP, CISA, CISSP (or Associate), CND, GCED, GCIH, GICSP, GSEC, or SSCP Certification in Governance of Enterprise IT (CGEIT). How you will wow us: A recognized cloud certification, such as Microsoft Azure Associate Administrator. Familiarity with the Atlassian suite, including Jira and Confluence. JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. JCS is both a Great Place to Work and a Top Places to Work certified company. Our employees embody our core values, and we are looking for others who do too! Customer Experience: Strive for excellence and delight our clients Innovation: Embrace creative thinking to enable continual growth and powerful solutions Accountability: Take ownership of and pride in our actions and service delivery Inspire: Be inspired to be your best self and have fun in the process Integrity: Do the right thing, the right way, every time! Stewardship: The careful and responsible management of something entrusted to our care. At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $104,000.00 - $149,000.00 Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. NOTICE : Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app. Powered by JazzHR R52pDT8rwr
11/12/2026
Full time
Job Description Job Description Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! Job Summary JCS Solutions is looking for an experienced Principal Cloud Engineer to join the Defense Enclave Services (DES) team. DES supports a large digital modernization program that is critical to the Defense Information Systems Agency (DISA) and the DoD Fourth Estate Agencies. This systems engineering role focuses on distributed systems and on how cloud infrastructure is built and maintained. You'll support several engineering projects that are modernizing the DoD environment, including moving applications and services from on-premises infrastructure to the cloud as part of zero-trust network initiatives. The work covers design, deployment, testing, and migration of the network solutions you develop. Location: Fort Meade, MD Shift: full-time, day-shift role on a hybrid schedule Clearance: Secret Certification: Active DoD 8140/8570 IAT Level II certification What's in it for you: Join a premier technology firm specializing in innovative solutions. Be part of a collaborative, inclusive, and innovative work culture. Enjoy tremendous growth potential in a high-performing team environment. A robust benefits package: Health, dental, and vision insurance Life insurance Short-and-long term disability Paid time off (PTO) 401k retirement plan with employer match Annual Professional Development Reimbursement Program And more! What you will do: Apply systems engineering and architecture experience to design zero-trust network solutions for a hybrid on-premises and Azure enclave. Apply knowledge of system virtualization and design so that network modernization efforts meet security requirements and can be implemented without disrupting operations. Support cloud deployment of modernized network services. Develop modern, secure network solutions using virtual switches, VPCs, and virtual firewalls. Provide input to the design of the enterprise's cloud and mission architecture. Evaluate and support application architectures across platforms so they align with cloud and application modernization strategies, capabilities, and requirements. Look for ways to improve, including changes that improve the user experience, increase efficiency, and lower sustainment costs. Enforce security best practices and guidelines, drawing on knowledge of security policies, network security, and data security. What you will bring: 12+ years of relevant experience. Expertise designing, deploying, and operating solutions built on Azure, AWS, or GCP. Experience with virtual switches, VPCs, and virtual firewalls. Experience with Identity and Access Management (IDAM), including Azure AD and CyberArk, Okta, or another modern ICAM solution. Understanding of federal government application, server, and network security requirements, such as NIST, FedRAMP, and FISMA. Ability to work well within a distributed technical team, with strong written and verbal communication skills. Education Requirements Bachelor's degree or equivalent experience. Required Certifications Certification in Governance of Enterprise IT (CGEIT). An active DoD 8140 IAT Level II certification, such as one of the following: Security+ CE, CySA+, CASP+ CE, CCNA-Security, CCNP Security, CCSP, CISA, CISSP (or Associate), CND, GCED, GCIH, GICSP, GSEC, or SSCP Certification in Governance of Enterprise IT (CGEIT). How you will wow us: A recognized cloud certification, such as Microsoft Azure Associate Administrator. Familiarity with the Atlassian suite, including Jira and Confluence. JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. JCS is both a Great Place to Work and a Top Places to Work certified company. Our employees embody our core values, and we are looking for others who do too! Customer Experience: Strive for excellence and delight our clients Innovation: Embrace creative thinking to enable continual growth and powerful solutions Accountability: Take ownership of and pride in our actions and service delivery Inspire: Be inspired to be your best self and have fun in the process Integrity: Do the right thing, the right way, every time! Stewardship: The careful and responsible management of something entrusted to our care. At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $104,000.00 - $149,000.00 Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. NOTICE : Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app. Powered by JazzHR R52pDT8rwr
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Contract Technical Lead We are seeking a highly technical, hands-on Technical Lead to support a large-scale enterprise migration and modernization initiative on a contractual basis with CapTech. This is a player-coach role for someone who can set technical direction while remaining deeply involved in implementation, design and code reviews, troubleshooting, and day-to-day guidance of engineering teams. The ideal candidate is a senior Java engineer who has progressed into technical leadership or architecture while remaining hands-on, with deep experience across Java, AWS, enterprise integration, APIs, and complex data migrations. What You'll Do Lead technical design and implementation for a complex enterprise migration and modernization program. Remain hands-on with Java/backend development, making implementation decisions, reviewing code and designs, and unblocking developers. Design and troubleshoot AWS solutions across compute, storage, networking, services, and deployment. Define REST APIs and service architectures, including contracts, versioning, integrations, resilience, and failure handling. Lead complex data migration and architecture decisions involving relational data, lineage, reconciliation, transformation, and authoritative data sources. Design event-driven solutions using messaging, queues, producer/consumer patterns, and asynchronous workflows. Integrate modern cloud applications with legacy databases, APIs, messaging platforms, files/SFTP, and enterprise adapters. Drive CI/CD and Infrastructure as Code practices using Git/GitHub, Harness, Terraform, and related technologies. Establish production-ready observability and support practices, including Dynatrace, logging, monitoring, retries, error handling, and troubleshooting. Incorporate enterprise identity and security standards, including Entra ID and role-based access controls. Translate architecture into actionable technical stories and implementation plans. Mentor engineers, establish development standards, and provide technical direction throughout delivery. Partner with business stakeholders to understand operational requirements and appropriately challenge technical or implementation assumptions. Qualifications Required Qualifications: 10+ years of software engineering experience, ideally within complex enterprise environments. Recent, hands-on experience with Java and backend engineering. 3-5+ years of AWS architecture/design experience, with the ability to troubleshoot at an implementation level. Experience serving as a Technical Lead, Lead Java Engineer, Lead Backend Engineer, Application Architect, or hands-on Solution Architect. Strong experience with REST APIs, microservices/service design, and enterprise integration patterns. Experience leading or supporting large-scale migrations, application modernization, or legacy transformation programs. Strong knowledge of relational databases, data migration, reconciliation, lineage, and system-of-record decisions. Experience with event-driven architecture, messaging, and asynchronous systems. Experience with Terraform, CI/CD, Git/GitHub, and modern deployment practices. Experience with production observability and support, ideally including Dynatrace. Working knowledge of enterprise security and identity, including Entra ID. Ability to balance hands-on engineering with technical leadership, mentoring, story decomposition, and stakeholder communication. Preferred Experience modernizing or migrating complex legacy enterprise systems to AWS. Background working in environments with complicated system integrations, high-volume data, or mission-critical applications. Experience within airline, rail, transportation, or similarly complex operational industries. Experience supporting systems involving crew, employee records, training, certification, or other operational data. Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The hourly rate range for this role is: $80/hr-100/hr. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
11/12/2026
Full time
Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Contract Technical Lead We are seeking a highly technical, hands-on Technical Lead to support a large-scale enterprise migration and modernization initiative on a contractual basis with CapTech. This is a player-coach role for someone who can set technical direction while remaining deeply involved in implementation, design and code reviews, troubleshooting, and day-to-day guidance of engineering teams. The ideal candidate is a senior Java engineer who has progressed into technical leadership or architecture while remaining hands-on, with deep experience across Java, AWS, enterprise integration, APIs, and complex data migrations. What You'll Do Lead technical design and implementation for a complex enterprise migration and modernization program. Remain hands-on with Java/backend development, making implementation decisions, reviewing code and designs, and unblocking developers. Design and troubleshoot AWS solutions across compute, storage, networking, services, and deployment. Define REST APIs and service architectures, including contracts, versioning, integrations, resilience, and failure handling. Lead complex data migration and architecture decisions involving relational data, lineage, reconciliation, transformation, and authoritative data sources. Design event-driven solutions using messaging, queues, producer/consumer patterns, and asynchronous workflows. Integrate modern cloud applications with legacy databases, APIs, messaging platforms, files/SFTP, and enterprise adapters. Drive CI/CD and Infrastructure as Code practices using Git/GitHub, Harness, Terraform, and related technologies. Establish production-ready observability and support practices, including Dynatrace, logging, monitoring, retries, error handling, and troubleshooting. Incorporate enterprise identity and security standards, including Entra ID and role-based access controls. Translate architecture into actionable technical stories and implementation plans. Mentor engineers, establish development standards, and provide technical direction throughout delivery. Partner with business stakeholders to understand operational requirements and appropriately challenge technical or implementation assumptions. Qualifications Required Qualifications: 10+ years of software engineering experience, ideally within complex enterprise environments. Recent, hands-on experience with Java and backend engineering. 3-5+ years of AWS architecture/design experience, with the ability to troubleshoot at an implementation level. Experience serving as a Technical Lead, Lead Java Engineer, Lead Backend Engineer, Application Architect, or hands-on Solution Architect. Strong experience with REST APIs, microservices/service design, and enterprise integration patterns. Experience leading or supporting large-scale migrations, application modernization, or legacy transformation programs. Strong knowledge of relational databases, data migration, reconciliation, lineage, and system-of-record decisions. Experience with event-driven architecture, messaging, and asynchronous systems. Experience with Terraform, CI/CD, Git/GitHub, and modern deployment practices. Experience with production observability and support, ideally including Dynatrace. Working knowledge of enterprise security and identity, including Entra ID. Ability to balance hands-on engineering with technical leadership, mentoring, story decomposition, and stakeholder communication. Preferred Experience modernizing or migrating complex legacy enterprise systems to AWS. Background working in environments with complicated system integrations, high-volume data, or mission-critical applications. Experience within airline, rail, transportation, or similarly complex operational industries. Experience supporting systems involving crew, employee records, training, certification, or other operational data. Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech supports Equal Pay for all. In addition, in the State of Colorado, we are committed to Equal Pay for ALL in accordance with the Colorado Equal Pay for Equal Work Act. The hourly rate range for this role is: $80/hr-100/hr. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
Job Description Job Description This job combines two things that usually sit with different people: owning products and building them. One product is a real-time tracking and communications app that hundreds of thousands of families and their school districts rely on, where a wrong notification reaches a parent waiting at a bus stop. The other is the technology behind a service for students with special transportation needs, students experiencing homelessness, and out-of-district students, delivered through contracted local transportation providers. Each product has a Business Product Owner who owns its business outcomes, priorities, and commercial decisions. You are their partner on the IT side, owning how those priorities become software within the lines our product management operating model sets. It gets built in an agentic delivery framework owned by a senior technical team. You own its product side: the specs, acceptance criteria, and evals that go in, and the call on whether the result met the business need. You also build. In traditional product management, requirements get written, handed to engineering, and interpreted somewhere along the way. Here, a conversation with a stakeholder can become working software in days, and the person who had the conversation is often the one directing the agents that build it. You should already be building with agents, even if it is not yet how you do all of your work. In this role, building stops being something you do alongside product management and becomes how you do it. You will start with a small team, so expect to lead and build at the same time. The people you lead may come from more traditional roles, and helping them make the same shift is part of the job. You will also own the budget, vendor relationships, and contracts behind this work, AI tooling included. How You'll Work AI runs through your entire workflow, from discovery and specs to the build, tests, documentation, and reporting. We are looking for someone already working this way who can show what it has produced, not someone with a thesis on where AI is going. Requirements here usually arrive as a conversation rather than a ticket, and you will often be the one having it. You will build inside a framework someone else runs, which means understanding a rule's reasoning before deciding it is in your way. You will be measured on whether what ships is correct and whether the business got what it actually needed, not on volume. A typical week may include: Sitting with district staff, families, or the team that coordinates our transportation providers, then deciding with a Business Product Owner whether a problem belongs on the roadmap. Turning a conversation like that into a working prototype and using it to agree on requirements before the full build starts. Reviewing work with a team member who is still learning to build with agents, and explaining the reasoning behind your feedback. Key ResponsibilitiesOwn the products Co-own each product's strategy, roadmap, and lifecycle with its Business Product Owner. Manage the backlog and sequence work against business goals and the dependencies between the two products, not just the request queue. Develop business cases and set each product's metrics, from family adoption and engagement to district retention and safe, on-time service. Partner with the business on commercialization and pricing. Decide where AI belongs inside the products, such as how families get answers or how trip exceptions get handled, and define the evals that judge whether it works. Build with agents Direct AI coding agents to build applications, workflows, and AI-enabled tools from first prototype through production, and stay with what you ship after it is live. Read all agent output critically, including your own. Reject work that only looks finished, and use tests, evals, and the framework's gates to prove behavior rather than assert it. Own the product side of agentic delivery Own how work enters the framework, from the prototypes used to agree on requirements to the specs, acceptance criteria, and evals that define done, and how delivered work is judged against the business need. Define the data, privacy, and safety requirements for your products, with the highest bar for students whose information needs the most protection, and work with the framework's owners so the system enforces them. Bring the senior technical team specific evidence on where the framework slows product work down, and make the case for tools and techniques that earn their place. Work directly with the business Elicit requirements from people who describe outcomes, not specifications, and ask the questions that surface the real constraint: who uses it, how often, and what happens when it fails. Ground decisions in a deep understanding of your users, from families following a student's ride to district staff, operations teams, and local providers, and test designs with them early. Partner with business leaders on how technology can serve their goals, lead cross-department work, and keep leadership current on what was decided and why. Lead and grow the team Develop the people you lead into agentic roles along a clear path: requirements, then agent-ready specs and evals, then prototypes, then small changes shipped to production. Teach through real work, with reviews that build judgment, not just fix mechanics. Recruit and retain the people who will grow this capability as the team expands. Manage the investment Own the budget for your products and team, including AI tooling and model usage, and find savings where agents can now do work that once required a vendor or a larger team. Source and manage vendors, negotiate contracts, and hold vendors to their commitments. Required Qualifications Hands-on experience building working software with AI coding agents (Claude Code, Codex, Cursor, or successors), beyond using them as autocomplete. Show us what you have built and explain the decisions behind it. 10+ years across product management, software delivery, and technology leadership, with a history of owning product strategy and delivering measurable results. Experience leading products alongside business owners under clear decision rights. Experience turning vague, verbally described needs into the specs, acceptance criteria, and evals that people and agents build from, and an understanding of why a passing test is not proof that a change is correct. Ability to read code you did not write, well enough to catch an agent's mistakes and explain them, in more than one language or platform. Solid grasp of software architecture and data principles, from service boundaries and where state lives to data quality and the handling of sensitive data. Experience hiring and developing people, including helping someone grow into work their previous role did not require. Financial management experience across budgets, business cases, vendors, and contracts. Executive presence and clear written and verbal communication in business terms. Bachelor's degree in Computer Science, Information Technology, Engineering, Management, or a related field, or equivalent practical experience. Preferred Qualifications Experience commercializing software for external customers, including pricing models. Experience with consumer mobile apps at scale, especially real-time tracking or time-sensitive notifications, and with UI design, design systems, or Figma. Experience with services delivered through partner or contractor networks, or with products serving students with disabilities, including their accessibility and privacy needs. Experience shipping AI features to real users, including writing the evals that judge them. Experience with transportation, logistics, geospatial, or routing software. Deep experience with agent frameworks, MCP, RAG, or context engineering, or with the CI/CD pipelines, test gates, and harnesses around them. Enterprise security, governance, and data-privacy experience, including FERPA. Agile, Jira, or ITIL experience, and judgment about what still applies when agents build. Experience with SQL, BI tools, or cloud deployment. Working Style The team moves fast and changes direction often. Expect to be the first to see when it should, and to make that case with incomplete information. Speed here depends on discipline. Agents will readily produce work that looks finished and is not, and knowing the difference is the core of the job. What Success Looks Like At 3 months: You have shipped to production yourself and know the framework well enough to push for changes. Both products have a roadmap their Business Product Owners recognize as their own. At 6 months: Both products are delivering measurable results, requirements are agreed around working prototypes, and the people you lead are shipping small changes end to end. At 12 months: The team has grown, and people who came from traditional roles now build with agents on their own. AI is working where it belongs in the products, measured by your evals. Business partners bring you problems, not requests, and other teams are adopting how yours builds. Language Requirement This role requires English proficiency. Federal, state, and local requirements, including U.S. Department of Transportation (DOT) regulations, require training, safety communications, company policies, employment documents . click apply for full job details
11/11/2026
Full time
Job Description Job Description This job combines two things that usually sit with different people: owning products and building them. One product is a real-time tracking and communications app that hundreds of thousands of families and their school districts rely on, where a wrong notification reaches a parent waiting at a bus stop. The other is the technology behind a service for students with special transportation needs, students experiencing homelessness, and out-of-district students, delivered through contracted local transportation providers. Each product has a Business Product Owner who owns its business outcomes, priorities, and commercial decisions. You are their partner on the IT side, owning how those priorities become software within the lines our product management operating model sets. It gets built in an agentic delivery framework owned by a senior technical team. You own its product side: the specs, acceptance criteria, and evals that go in, and the call on whether the result met the business need. You also build. In traditional product management, requirements get written, handed to engineering, and interpreted somewhere along the way. Here, a conversation with a stakeholder can become working software in days, and the person who had the conversation is often the one directing the agents that build it. You should already be building with agents, even if it is not yet how you do all of your work. In this role, building stops being something you do alongside product management and becomes how you do it. You will start with a small team, so expect to lead and build at the same time. The people you lead may come from more traditional roles, and helping them make the same shift is part of the job. You will also own the budget, vendor relationships, and contracts behind this work, AI tooling included. How You'll Work AI runs through your entire workflow, from discovery and specs to the build, tests, documentation, and reporting. We are looking for someone already working this way who can show what it has produced, not someone with a thesis on where AI is going. Requirements here usually arrive as a conversation rather than a ticket, and you will often be the one having it. You will build inside a framework someone else runs, which means understanding a rule's reasoning before deciding it is in your way. You will be measured on whether what ships is correct and whether the business got what it actually needed, not on volume. A typical week may include: Sitting with district staff, families, or the team that coordinates our transportation providers, then deciding with a Business Product Owner whether a problem belongs on the roadmap. Turning a conversation like that into a working prototype and using it to agree on requirements before the full build starts. Reviewing work with a team member who is still learning to build with agents, and explaining the reasoning behind your feedback. Key ResponsibilitiesOwn the products Co-own each product's strategy, roadmap, and lifecycle with its Business Product Owner. Manage the backlog and sequence work against business goals and the dependencies between the two products, not just the request queue. Develop business cases and set each product's metrics, from family adoption and engagement to district retention and safe, on-time service. Partner with the business on commercialization and pricing. Decide where AI belongs inside the products, such as how families get answers or how trip exceptions get handled, and define the evals that judge whether it works. Build with agents Direct AI coding agents to build applications, workflows, and AI-enabled tools from first prototype through production, and stay with what you ship after it is live. Read all agent output critically, including your own. Reject work that only looks finished, and use tests, evals, and the framework's gates to prove behavior rather than assert it. Own the product side of agentic delivery Own how work enters the framework, from the prototypes used to agree on requirements to the specs, acceptance criteria, and evals that define done, and how delivered work is judged against the business need. Define the data, privacy, and safety requirements for your products, with the highest bar for students whose information needs the most protection, and work with the framework's owners so the system enforces them. Bring the senior technical team specific evidence on where the framework slows product work down, and make the case for tools and techniques that earn their place. Work directly with the business Elicit requirements from people who describe outcomes, not specifications, and ask the questions that surface the real constraint: who uses it, how often, and what happens when it fails. Ground decisions in a deep understanding of your users, from families following a student's ride to district staff, operations teams, and local providers, and test designs with them early. Partner with business leaders on how technology can serve their goals, lead cross-department work, and keep leadership current on what was decided and why. Lead and grow the team Develop the people you lead into agentic roles along a clear path: requirements, then agent-ready specs and evals, then prototypes, then small changes shipped to production. Teach through real work, with reviews that build judgment, not just fix mechanics. Recruit and retain the people who will grow this capability as the team expands. Manage the investment Own the budget for your products and team, including AI tooling and model usage, and find savings where agents can now do work that once required a vendor or a larger team. Source and manage vendors, negotiate contracts, and hold vendors to their commitments. Required Qualifications Hands-on experience building working software with AI coding agents (Claude Code, Codex, Cursor, or successors), beyond using them as autocomplete. Show us what you have built and explain the decisions behind it. 10+ years across product management, software delivery, and technology leadership, with a history of owning product strategy and delivering measurable results. Experience leading products alongside business owners under clear decision rights. Experience turning vague, verbally described needs into the specs, acceptance criteria, and evals that people and agents build from, and an understanding of why a passing test is not proof that a change is correct. Ability to read code you did not write, well enough to catch an agent's mistakes and explain them, in more than one language or platform. Solid grasp of software architecture and data principles, from service boundaries and where state lives to data quality and the handling of sensitive data. Experience hiring and developing people, including helping someone grow into work their previous role did not require. Financial management experience across budgets, business cases, vendors, and contracts. Executive presence and clear written and verbal communication in business terms. Bachelor's degree in Computer Science, Information Technology, Engineering, Management, or a related field, or equivalent practical experience. Preferred Qualifications Experience commercializing software for external customers, including pricing models. Experience with consumer mobile apps at scale, especially real-time tracking or time-sensitive notifications, and with UI design, design systems, or Figma. Experience with services delivered through partner or contractor networks, or with products serving students with disabilities, including their accessibility and privacy needs. Experience shipping AI features to real users, including writing the evals that judge them. Experience with transportation, logistics, geospatial, or routing software. Deep experience with agent frameworks, MCP, RAG, or context engineering, or with the CI/CD pipelines, test gates, and harnesses around them. Enterprise security, governance, and data-privacy experience, including FERPA. Agile, Jira, or ITIL experience, and judgment about what still applies when agents build. Experience with SQL, BI tools, or cloud deployment. Working Style The team moves fast and changes direction often. Expect to be the first to see when it should, and to make that case with incomplete information. Speed here depends on discipline. Agents will readily produce work that looks finished and is not, and knowing the difference is the core of the job. What Success Looks Like At 3 months: You have shipped to production yourself and know the framework well enough to push for changes. Both products have a roadmap their Business Product Owners recognize as their own. At 6 months: Both products are delivering measurable results, requirements are agreed around working prototypes, and the people you lead are shipping small changes end to end. At 12 months: The team has grown, and people who came from traditional roles now build with agents on their own. AI is working where it belongs in the products, measured by your evals. Business partners bring you problems, not requests, and other teams are adopting how yours builds. Language Requirement This role requires English proficiency. Federal, state, and local requirements, including U.S. Department of Transportation (DOT) regulations, require training, safety communications, company policies, employment documents . click apply for full job details
Job Description Job Description We are seeking an experienced Full Stack Software Engineer for a hybrid long-term contract role in Alpharetta, GA We are on the lookout for a passionate software engineer to leverage next-generation, agentic development tools-including GitHub Copilot, Cursor, Claude, and Kiro-to rapidly design, build, test, and deploy high-quality software solutions. In this role, the ideal candidate will drive end-to-end feature delivery, developing across both micro-frontend applications and robust Java Spring and Python backend services. Responsibilities Design, develop, and deliver full-stack features from concept to production. Build and enhance frontend applications using Angular, React, TypeScript, Stencil and JavaScript. Develop scalable backend services and APIs using Java, Spring Boot and Python. Utilize AI-powered development tools including Kiro, Claude, GitHub Copilot, and Cursor. Write clean, maintainable, testable, and well-documented code. Apply object-oriented design, Clean Code practices, and SOLID principles. Participate in code reviews, architecture discussions, and agile ceremonies. Ensure code quality through test-driven development (TDD). Validate and verify AI-generated code by creating comprehensive test strategies, ensuring functional correctness, security compliance, performance standards, and maintainability before deployment to production. Required Qualifications Minimum of 5 years of professional software development experience. Strong experience building full-stack web applications. Hands-on experience with Java, Python, Angular, React or Stencil. Strong TypeScript and JavaScript skills. Excellent understanding of OOP, design patterns, Clean Code, and SOLID principles. Strong problem-solving and communication skills. Strong Experience designing and building cloud-native solutions, preferably on AWS. Strong understanding of defensive programming practices and 12-Factor App principles for microservices. Deeper knowledge on relational databases, including MySQL and PostgreSQL. Preferred Qualifications Strong Java, Spring Boot, and Python experience. Experience with microservices architectures and 12-Factor App principles for microservices. Experience with TypeScript and modern frontend platform engineering, including web components, micro-frontend architecture, and server-side data integration patterns. Ability to troubleshoot, own, and resolve build and deployment issues; experience with Kubernetes is a plus. Experience building AI agents and the supporting tooling and harness around them.
11/11/2026
Full time
Job Description Job Description We are seeking an experienced Full Stack Software Engineer for a hybrid long-term contract role in Alpharetta, GA We are on the lookout for a passionate software engineer to leverage next-generation, agentic development tools-including GitHub Copilot, Cursor, Claude, and Kiro-to rapidly design, build, test, and deploy high-quality software solutions. In this role, the ideal candidate will drive end-to-end feature delivery, developing across both micro-frontend applications and robust Java Spring and Python backend services. Responsibilities Design, develop, and deliver full-stack features from concept to production. Build and enhance frontend applications using Angular, React, TypeScript, Stencil and JavaScript. Develop scalable backend services and APIs using Java, Spring Boot and Python. Utilize AI-powered development tools including Kiro, Claude, GitHub Copilot, and Cursor. Write clean, maintainable, testable, and well-documented code. Apply object-oriented design, Clean Code practices, and SOLID principles. Participate in code reviews, architecture discussions, and agile ceremonies. Ensure code quality through test-driven development (TDD). Validate and verify AI-generated code by creating comprehensive test strategies, ensuring functional correctness, security compliance, performance standards, and maintainability before deployment to production. Required Qualifications Minimum of 5 years of professional software development experience. Strong experience building full-stack web applications. Hands-on experience with Java, Python, Angular, React or Stencil. Strong TypeScript and JavaScript skills. Excellent understanding of OOP, design patterns, Clean Code, and SOLID principles. Strong problem-solving and communication skills. Strong Experience designing and building cloud-native solutions, preferably on AWS. Strong understanding of defensive programming practices and 12-Factor App principles for microservices. Deeper knowledge on relational databases, including MySQL and PostgreSQL. Preferred Qualifications Strong Java, Spring Boot, and Python experience. Experience with microservices architectures and 12-Factor App principles for microservices. Experience with TypeScript and modern frontend platform engineering, including web components, micro-frontend architecture, and server-side data integration patterns. Ability to troubleshoot, own, and resolve build and deployment issues; experience with Kubernetes is a plus. Experience building AI agents and the supporting tooling and harness around them.
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. Retail Software Engineer Description - This role will lead the development of AI-powered mobile experiences for the retail industry. You will partner with the product owner, subject matter experts, and customers to translate requirements into working software. Combine hands-on expertise in AI applications, agent harnesses, model inference, and Android development to create a reliable, scalable commercial product. Responsibilities Lead software development from initial concept and prototypes through production readiness. Contribute directly to implementation across Android applications, backend services, and AI agents. Work with the product owner, subject matter experts, and customers to understand requirements, define acceptance criteria, assess technical trade-offs, and establish development priorities. Collaborate with forward-deployed engineers and customer IT to gather feedback, validate features, troubleshoot integration issues, and develop fixes. Incorporate findings into ongoing development. Build and maintain agent harnesses that connect AI models with context, tools, memory, permissions, and workflows. Support multi-step execution, task interruptions, recovery, and human approvals. Select, integrate, and evaluate AI models for reasoning, tool use, and vision. Optimize inference quality, latency, reliability, and cost across cloud and edge environments. Develop Android applications for retail handhelds and tablets, including adaptive interfaces, voice, camera, scanning, and payments. Connect applications securely to enterprise systems through APIs, events, and adapters. Establish engineering practices for AI-assisted coding, code review, automated testing, security, continuous integration, and releases. Ensure generated code is verified, and the software can be monitored and supported. Mentor engineers, review designs and code, and lead technical issue resolution. Turn recurring customer requirements into reusable capabilities that support a maintainable, scalable commercial product. Education and Experience Required Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 8+ years of software engineering experience, including technical leadership and hands-on development of new products from concept through production. Demonstrated experience building AI applications using large language models, agent frameworks or harnesses, tool calling, retrieval, inference, and evaluation. Strong experience developing Android applications and integrating mobile software with backend services, enterprise systems, and device capabilities. Experience working with customers, customer IT, or customer-facing engineers to develop features and resolve technical issues. Practical use of AI-assisted development tools is required; retail technology experience is preferred. Knowledge and Skills Strong understanding of AI application architecture and how models, agent harnesses, context, retrieval, memory, and tools work together to complete tasks. Practical knowledge of model selection and inference trade-offs, including accuracy, latency, throughput, cost, privacy, and cloud versus on-device execution. Strong Android skills, preferably Kotlin and Jetpack Compose, including context-aware interfaces, device APIs, intermittent connectivity, and workflow interruption and recovery. Strong mobile and backend engineering skills, including APIs, distributed systems, and enterprise integration that preserves existing business rules and transaction integrity. Proficiency with AI-assisted coding and agentic development tools, including preparing context, breaking down tasks, reviewing generated code, debugging, and verifying results. Ability to translate customer specifications into technical designs and acceptance tests, diagnose failures, and evaluate AI workflows against realistic tasks and measurable outcomes. Knowledge of secure software development, authentication, authorization, data privacy, audit logging, automated testing, continuous integration, and release management. Clear communication, strong technical judgment, and effective mentoring skills. Ability to manage evolving requirements and work across teams while balancing customer needs with long-term product maintainability. The pay range for this role is $147,050 to $230,850 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 - 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 "
11/11/2026
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. Retail Software Engineer Description - This role will lead the development of AI-powered mobile experiences for the retail industry. You will partner with the product owner, subject matter experts, and customers to translate requirements into working software. Combine hands-on expertise in AI applications, agent harnesses, model inference, and Android development to create a reliable, scalable commercial product. Responsibilities Lead software development from initial concept and prototypes through production readiness. Contribute directly to implementation across Android applications, backend services, and AI agents. Work with the product owner, subject matter experts, and customers to understand requirements, define acceptance criteria, assess technical trade-offs, and establish development priorities. Collaborate with forward-deployed engineers and customer IT to gather feedback, validate features, troubleshoot integration issues, and develop fixes. Incorporate findings into ongoing development. Build and maintain agent harnesses that connect AI models with context, tools, memory, permissions, and workflows. Support multi-step execution, task interruptions, recovery, and human approvals. Select, integrate, and evaluate AI models for reasoning, tool use, and vision. Optimize inference quality, latency, reliability, and cost across cloud and edge environments. Develop Android applications for retail handhelds and tablets, including adaptive interfaces, voice, camera, scanning, and payments. Connect applications securely to enterprise systems through APIs, events, and adapters. Establish engineering practices for AI-assisted coding, code review, automated testing, security, continuous integration, and releases. Ensure generated code is verified, and the software can be monitored and supported. Mentor engineers, review designs and code, and lead technical issue resolution. Turn recurring customer requirements into reusable capabilities that support a maintainable, scalable commercial product. Education and Experience Required Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 8+ years of software engineering experience, including technical leadership and hands-on development of new products from concept through production. Demonstrated experience building AI applications using large language models, agent frameworks or harnesses, tool calling, retrieval, inference, and evaluation. Strong experience developing Android applications and integrating mobile software with backend services, enterprise systems, and device capabilities. Experience working with customers, customer IT, or customer-facing engineers to develop features and resolve technical issues. Practical use of AI-assisted development tools is required; retail technology experience is preferred. Knowledge and Skills Strong understanding of AI application architecture and how models, agent harnesses, context, retrieval, memory, and tools work together to complete tasks. Practical knowledge of model selection and inference trade-offs, including accuracy, latency, throughput, cost, privacy, and cloud versus on-device execution. Strong Android skills, preferably Kotlin and Jetpack Compose, including context-aware interfaces, device APIs, intermittent connectivity, and workflow interruption and recovery. Strong mobile and backend engineering skills, including APIs, distributed systems, and enterprise integration that preserves existing business rules and transaction integrity. Proficiency with AI-assisted coding and agentic development tools, including preparing context, breaking down tasks, reviewing generated code, debugging, and verifying results. Ability to translate customer specifications into technical designs and acceptance tests, diagnose failures, and evaluate AI workflows against realistic tasks and measurable outcomes. Knowledge of secure software development, authentication, authorization, data privacy, audit logging, automated testing, continuous integration, and release management. Clear communication, strong technical judgment, and effective mentoring skills. Ability to manage evolving requirements and work across teams while balancing customer needs with long-term product maintainability. The pay range for this role is $147,050 to $230,850 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 - 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 posting is anticipated to remain open for 30 days, from 03-Nov-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
11/11/2026
Full time
This job posting is anticipated to remain open for 30 days, from 03-Nov-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
This job posting is anticipated to remain open for 30 days, from 03-Nov-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
11/11/2026
Full time
This job posting is anticipated to remain open for 30 days, from 03-Nov-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Manager, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum five years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
11/10/2026
Full time
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Manager, Cloud - GCP for our Consulting practice. Responsibilities: Lead the design and implementation of Google Cloud Platform (GCP) infrastructure using Terraform, following best practices for modularity, reusability, and long-term maintainability. Demonstrate deep expertise in GCP networking, including network design standards and Network Connectivity Center (NCC) hub-and-spoke architectures. Architect and manage secure, reliable hybrid cloud integrations between on-premises environments and GCP, enabling seamless connectivity across platforms. Design, build, and support scalable data platforms on GCP, leveraging services such as BigQuery, Dataflow, Dataproc, and Pub/Sub to enable advanced analytics and data processing. Enable Generative AI initiatives by supporting development teams in the use of GCP AI/ML services, with a strong focus on Vertex AI for model development, training, and deployment. Implement and maintain robust security controls and compliance policies across the GCP environment, with a strong understanding of IAM/RBAC and industry regulatory standards. Design and build automated CI/CD pipelines for provisioning and managing GCP resources using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement comprehensive monitoring, logging, and operational tooling to ensure platform reliability, performance, and proactive cost optimization. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning, engineering excellence, and operational rigor. Qualifications: Minimum five years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience Bachelor's degree from an accredited college/university Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus Ability to travel as required Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application AI Ops team's Senior engineers build and operate the data-to-automation pipeline for individual use cases. As the Lead AI Ops Engineer - Application, you own what's harder than any single use case: the technical judgment calls that don't have an obvious owner - which anomaly-detection approach should become the pattern every new use case reuses, whether a correlation design scales past the next order of magnitude of alert volume, what a remediation needs before it's trusted to run at autonomy level 4 against a payment-critical service. You'll still write code and ship - this is not a step off the keyboard - but you'll also be the person Seniors come to when a design doesn't have a textbook answer, and the person the Director turns to when a technical bet needs a second, harder look before it's defended to Risk and Audit. This position offers a flexible work environment with an onsite requirement of 5 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What you'll do: Own the technical design and architecture for the domain's highest-ambiguity or highest-consequence AIOps builds, personally shipping the hardest components yourself rather than delegating them away. Set the technical standards and reusable patterns - feature-engineering conventions, model evaluation harnesses, remediation-automation scaffolding - that the domain's Senior and Associate engineers build against. Lead the domain's progression up the autonomy ladder - decide, with the Director, which use cases are ready to advance toward guard railed or self-healing automation, and own the evidence package that justifies it. Serve as the primary technical escalation point during major incidents - including the real-time call on the kill switch - and lead postmortems that turn the lesson into an updated standard. Mentor the domain's Senior engineers on technical depth and judgment, growing the next Lead, and stay hands-on shipping production code on a regular cadence. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 7+ years of hands-on software or data engineering experience, including sustained ownership of production systems at meaningful scale. A track record of being the de facto technical authority on a team - the engineer others' designs get checked against - including leading technical design reviews and setting engineering standards for senior-level engineers. Deep expertise productionizing ML models for operational use cases using frameworks such as TensorFlow, PyTorch, or scikit-learn, plus advanced fluency with LLM-based techniques and their failure modes, including setting guardrails and evaluation criteria. Demonstrated experience designing and defending production automation that has executed against a regulated institution's production systems, including the approval-gate and rollback design that made it defensible. Demonstrated judgment under real incident pressure, including the experience and credibility to make the call to halt an automation mid-incident. What sets you apart: Demonstrated experience establishing technical standards, architecture patterns, and engineering practices for AIOps solutions that are adopted across engineering teams. Proven experience serving as a senior technical escalation point for production incidents, providing technical direction and decision-making for complex automation and operational AI solutions. Experience designing and implementing evaluation, safety, and control frameworks for operational AI that are scalable and adopted across multiple teams or functions. Experience designing or operating highly autonomous or self-healing remediation capabilities, including technical controls, governance, validation, and evidence required to support production approval. Demonstrated experience representing engineering in engagements with Model Risk Management, Internal Audit, or similar governance functions, effectively articulating and resolving complex technical, risk, and control considerations. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $127,310 - $243,340. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/08/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application AI Ops team's Senior engineers build and operate the data-to-automation pipeline for individual use cases. As the Lead AI Ops Engineer - Application, you own what's harder than any single use case: the technical judgment calls that don't have an obvious owner - which anomaly-detection approach should become the pattern every new use case reuses, whether a correlation design scales past the next order of magnitude of alert volume, what a remediation needs before it's trusted to run at autonomy level 4 against a payment-critical service. You'll still write code and ship - this is not a step off the keyboard - but you'll also be the person Seniors come to when a design doesn't have a textbook answer, and the person the Director turns to when a technical bet needs a second, harder look before it's defended to Risk and Audit. This position offers a flexible work environment with an onsite requirement of 5 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What you'll do: Own the technical design and architecture for the domain's highest-ambiguity or highest-consequence AIOps builds, personally shipping the hardest components yourself rather than delegating them away. Set the technical standards and reusable patterns - feature-engineering conventions, model evaluation harnesses, remediation-automation scaffolding - that the domain's Senior and Associate engineers build against. Lead the domain's progression up the autonomy ladder - decide, with the Director, which use cases are ready to advance toward guard railed or self-healing automation, and own the evidence package that justifies it. Serve as the primary technical escalation point during major incidents - including the real-time call on the kill switch - and lead postmortems that turn the lesson into an updated standard. Mentor the domain's Senior engineers on technical depth and judgment, growing the next Lead, and stay hands-on shipping production code on a regular cadence. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 7+ years of hands-on software or data engineering experience, including sustained ownership of production systems at meaningful scale. A track record of being the de facto technical authority on a team - the engineer others' designs get checked against - including leading technical design reviews and setting engineering standards for senior-level engineers. Deep expertise productionizing ML models for operational use cases using frameworks such as TensorFlow, PyTorch, or scikit-learn, plus advanced fluency with LLM-based techniques and their failure modes, including setting guardrails and evaluation criteria. Demonstrated experience designing and defending production automation that has executed against a regulated institution's production systems, including the approval-gate and rollback design that made it defensible. Demonstrated judgment under real incident pressure, including the experience and credibility to make the call to halt an automation mid-incident. What sets you apart: Demonstrated experience establishing technical standards, architecture patterns, and engineering practices for AIOps solutions that are adopted across engineering teams. Proven experience serving as a senior technical escalation point for production incidents, providing technical direction and decision-making for complex automation and operational AI solutions. Experience designing and implementing evaluation, safety, and control frameworks for operational AI that are scalable and adopted across multiple teams or functions. Experience designing or operating highly autonomous or self-healing remediation capabilities, including technical controls, governance, validation, and evidence required to support production approval. Demonstrated experience representing engineering in engagements with Model Risk Management, Internal Audit, or similar governance functions, effectively articulating and resolving complex technical, risk, and control considerations. US military experience gained through military service or gained as a military spouse / domestic partner. Compensation range: The salary range for this position is: $127,310 - $243,340. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description Job Description: First Student is North America's leading provider of student transportation, helping millions of students get to and from school safely each day. Our technology teams build and support the operational, safety, customer, and employee-facing systems behind that work, including our HALO platform. AI is an area of active investment for us. We are moving toward a world where we can build what we need quickly and safely, and this role exists to make sure that speed produces a coherent enterprise rather than a fragmented one. About the Role You own the architecture of First Student's technology estate through its transition to an AI-native operating model - and you hold the call on what we build, what we buy, and what we do not build at all. That last one is the point. Agentic development is about to make building software cheap. Cheap building without architecture produces an outcome most enterprises have already lived through once: thousands of Access databases, data scattered, unsecured, and poorly structured, and five custom CRMs because five lines of business each wanted their own. AI lets that happen faster and with more polish, which makes it more dangerous, not less. Your job is to prevent that while still letting us build whatever we genuinely need, with ease. This is a binding-authority seat. Buy it, build it with agents, fold it into an existing product, or do not build it - your decision stands. There are no direct reports; the authority comes from the seat and from the quality of your reasoning, not from headcount. You are not starting from nothing. We have a draft set of architecture principles and standards, a current view of the value stream, a prototype AI-native SDLC, and an agent control plane and runtime already in early use. Central IT does the majority of AI development today, with small pockets emerging in the field. What is thin is the thinking on how the business can safely ideate with AI inside a container, and how good ideas move through a gate into real products. That is the widest gap between what exists and what we need, though it is a smaller share of the job than deciding what gets built at all and making the enterprise buildable AI-natively. Our default lean is to buy the commodity and build the differentiator. SaaS for what is not specific to student transportation; build where our operating model is the advantage - routing, driver, operations, safety. Holding that line against "we could just build it now" is a real part of the job. How You'll Work You work AI-native. You will not ship much code, but you design with frontier models and agents daily - authoring skills, rules, harnesses, and agentic workflows, and prototyping when a prototype is the fastest way to prove a design. This is not background familiarity. You cannot design agent-consumable architecture, interfaces, or knowledge if you do not live in the tools. Your output is architecture and decisions: patterns, reference designs, ADRs, standards, evals, and calls that hold. Authority is the backstop, not the operating style. You set the pattern and keep the final call, but you earn agreement inside the design process rather than ruling on it afterward. Teams should want you in the room early, not dread the review at the end. You also own a class of question rather than a fixed list. As the organization goes AI-native, settled assumptions come loose: whether work management built for humans reading tickets survives contact with agentic delivery, where documentation has to live for agents to consume it natively, how systems and agents talk to each other, who owns which entity and where copies of data are allowed. Jira-or-no-Jira is only an example. These questions arrive continuously, and you are the person who resolves them. A typical week may include: Making buy, build, fold-in, or do-not-build calls on real requests, and writing down the reasoning so the decision holds the next time the question is asked. Designing the integration and data architecture so new products plug into the estate rather than wire themselves into it. Building out the safe harbor for business ideation and the gate that decides what happens to what comes out of it. Working alongside the agentic delivery pod on a hard design, then carrying the resulting pattern outward to the teams that follow. Resolving an open AI-native question that nobody has an established answer for yet. Shaping enterprise knowledge management with the Product team so that principles, standards, and product knowledge are usable by machines as well as people. Getting ahead of a line of business that is about to stand up something the enterprise already has. Key Responsibilities Decide what gets built Hold binding authority on buy, build with agents, fold into an existing product, or do not build - across the full enterprise estate. Own the intake and decision process behind that authority: how requests surface, how they are assessed, and how quickly they get an answer. Default to buying the commodity and building the differentiator, and hold that line as agentic delivery makes building look free. Own build-versus-buy evaluation, technical trade-off analysis, and vendor and platform fit. Kill redundancy before it exists. Preventing the fifth CRM is worth more than integrating it later. Document decisions and their reasoning so calls are consistent, reviewable, and reusable rather than re-argued every quarter. Architect the enterprise estate for coherence Serve as the enterprise-wide architectural authority across the full estate: custom digital products (payroll, driver, operations, routing, scheduling, and customer- and employee-facing applications), the SaaS and ERP portfolio, cloud, data, and integration. Settle system-of-record ownership and the canonical data model - which entity lives where, who owns it, and where copies are allowed. This is the control that prevents the Access-database outcome at AI speed. Design the enterprise integration layer as a reusable, self-service capability teams adopt rather than request: API-first contracts, an event backbone, service and tool discovery, and identity for non-human actors. Set cloud architecture direction on AWS - reference architectures, landing zones, and provisioning patterns, including environments autonomous agents can operate in safely. Make a portfolio of distinct products behave as a coherent whole, and surface where system and team boundaries need to move together. Stand up the safe harbor and the gate Design a contained environment where business teams can ideate and prototype with AI safely - sanctioned tooling, data boundaries, and blast-radius limits that make experimentation low-risk by construction. Define the gate: how an idea coming out of the harbor is assessed, what qualifies it to move forward, and what happens to it - carried forward by central IT into an existing digital product, stood up as a new one, or discarded as redundant. Keep the boundary explicit. The harbor is for ideation, not production. A business builder does not drive a tool all the way to production; central IT carries good ideas forward. Assist in the design of the citizen toolset itself, so what the business builds is legible to IT and usable as a requirements artifact rather than a mystery to reverse-engineer. Make the harbor good enough that the field uses it instead of going around it. Containment that people resent does not contain anything. Make architecture and knowledge machine-usable Ensure an enterprise ecosystem for knowledge management is designed, coherent, and adopted. The Product team may well own the capability itself; you own that it exists at enterprise scope, hangs together, and is genuinely machine-usable. Provide the design and guidance for how knowledge lives in an AI world - structure, retrievability, ownership, and freshness - so agents and people consume it natively instead of hunting through documents nobody reads. Structure architecture principles, standards, patterns, and decisions as consumable artifacts rather than shelfware, so teams and agents pull from them by default. Shape AI-native work planning, prioritization, and completion tracking, including whether tooling built for human-read tickets still fits when agents are primary consumers of work. Encode standards as reusable scaffolds, safe defaults, and automated checks, so the right way is the easy way and formal review is reserved for genuinely irreversible decisions. Set the pattern for agentic delivery Define what the paved road must guarantee - the control-plane pattern, agent runtime patterns, guardrails, evals, supervision, and observability substrate that keep autonomous systems in bounds. The agentic delivery pod builds and operates it; you decide what it has to hold true. Work inside the group design process as a contributor, not a downstream approver, while keeping the final call on the pattern. Make sure the first pod's choices become the reusable pattern for the pods and teams that follow, rather than a one-off that has to be re-derived. Design team boundaries and interaction modes so the organization's structure produces the loosely-coupled, fast-iterating architecture the strategy requires (inverse Conway). Stay deliberately agile as the underlying tooling evolves. Pilot, prototype, and recommend where new capability should be adopted, including EV technology, IoT and on-vehicle systems, cloud-native patterns, and frontier AI. Build security and compliance in by construction Partner closely with the Senior Director of Cybersecurity and their team, who own risk assessment, to encode security, privacy, and regulatory requirements as policy-as-code and safe defaults. Make the obligations attached to student and driver data, including FERPA and applicable privacy laws, inherited by construction rather than enforced by review . click apply for full job details
11/06/2026
Full time
Job Description Job Description: First Student is North America's leading provider of student transportation, helping millions of students get to and from school safely each day. Our technology teams build and support the operational, safety, customer, and employee-facing systems behind that work, including our HALO platform. AI is an area of active investment for us. We are moving toward a world where we can build what we need quickly and safely, and this role exists to make sure that speed produces a coherent enterprise rather than a fragmented one. About the Role You own the architecture of First Student's technology estate through its transition to an AI-native operating model - and you hold the call on what we build, what we buy, and what we do not build at all. That last one is the point. Agentic development is about to make building software cheap. Cheap building without architecture produces an outcome most enterprises have already lived through once: thousands of Access databases, data scattered, unsecured, and poorly structured, and five custom CRMs because five lines of business each wanted their own. AI lets that happen faster and with more polish, which makes it more dangerous, not less. Your job is to prevent that while still letting us build whatever we genuinely need, with ease. This is a binding-authority seat. Buy it, build it with agents, fold it into an existing product, or do not build it - your decision stands. There are no direct reports; the authority comes from the seat and from the quality of your reasoning, not from headcount. You are not starting from nothing. We have a draft set of architecture principles and standards, a current view of the value stream, a prototype AI-native SDLC, and an agent control plane and runtime already in early use. Central IT does the majority of AI development today, with small pockets emerging in the field. What is thin is the thinking on how the business can safely ideate with AI inside a container, and how good ideas move through a gate into real products. That is the widest gap between what exists and what we need, though it is a smaller share of the job than deciding what gets built at all and making the enterprise buildable AI-natively. Our default lean is to buy the commodity and build the differentiator. SaaS for what is not specific to student transportation; build where our operating model is the advantage - routing, driver, operations, safety. Holding that line against "we could just build it now" is a real part of the job. How You'll Work You work AI-native. You will not ship much code, but you design with frontier models and agents daily - authoring skills, rules, harnesses, and agentic workflows, and prototyping when a prototype is the fastest way to prove a design. This is not background familiarity. You cannot design agent-consumable architecture, interfaces, or knowledge if you do not live in the tools. Your output is architecture and decisions: patterns, reference designs, ADRs, standards, evals, and calls that hold. Authority is the backstop, not the operating style. You set the pattern and keep the final call, but you earn agreement inside the design process rather than ruling on it afterward. Teams should want you in the room early, not dread the review at the end. You also own a class of question rather than a fixed list. As the organization goes AI-native, settled assumptions come loose: whether work management built for humans reading tickets survives contact with agentic delivery, where documentation has to live for agents to consume it natively, how systems and agents talk to each other, who owns which entity and where copies of data are allowed. Jira-or-no-Jira is only an example. These questions arrive continuously, and you are the person who resolves them. A typical week may include: Making buy, build, fold-in, or do-not-build calls on real requests, and writing down the reasoning so the decision holds the next time the question is asked. Designing the integration and data architecture so new products plug into the estate rather than wire themselves into it. Building out the safe harbor for business ideation and the gate that decides what happens to what comes out of it. Working alongside the agentic delivery pod on a hard design, then carrying the resulting pattern outward to the teams that follow. Resolving an open AI-native question that nobody has an established answer for yet. Shaping enterprise knowledge management with the Product team so that principles, standards, and product knowledge are usable by machines as well as people. Getting ahead of a line of business that is about to stand up something the enterprise already has. Key Responsibilities Decide what gets built Hold binding authority on buy, build with agents, fold into an existing product, or do not build - across the full enterprise estate. Own the intake and decision process behind that authority: how requests surface, how they are assessed, and how quickly they get an answer. Default to buying the commodity and building the differentiator, and hold that line as agentic delivery makes building look free. Own build-versus-buy evaluation, technical trade-off analysis, and vendor and platform fit. Kill redundancy before it exists. Preventing the fifth CRM is worth more than integrating it later. Document decisions and their reasoning so calls are consistent, reviewable, and reusable rather than re-argued every quarter. Architect the enterprise estate for coherence Serve as the enterprise-wide architectural authority across the full estate: custom digital products (payroll, driver, operations, routing, scheduling, and customer- and employee-facing applications), the SaaS and ERP portfolio, cloud, data, and integration. Settle system-of-record ownership and the canonical data model - which entity lives where, who owns it, and where copies are allowed. This is the control that prevents the Access-database outcome at AI speed. Design the enterprise integration layer as a reusable, self-service capability teams adopt rather than request: API-first contracts, an event backbone, service and tool discovery, and identity for non-human actors. Set cloud architecture direction on AWS - reference architectures, landing zones, and provisioning patterns, including environments autonomous agents can operate in safely. Make a portfolio of distinct products behave as a coherent whole, and surface where system and team boundaries need to move together. Stand up the safe harbor and the gate Design a contained environment where business teams can ideate and prototype with AI safely - sanctioned tooling, data boundaries, and blast-radius limits that make experimentation low-risk by construction. Define the gate: how an idea coming out of the harbor is assessed, what qualifies it to move forward, and what happens to it - carried forward by central IT into an existing digital product, stood up as a new one, or discarded as redundant. Keep the boundary explicit. The harbor is for ideation, not production. A business builder does not drive a tool all the way to production; central IT carries good ideas forward. Assist in the design of the citizen toolset itself, so what the business builds is legible to IT and usable as a requirements artifact rather than a mystery to reverse-engineer. Make the harbor good enough that the field uses it instead of going around it. Containment that people resent does not contain anything. Make architecture and knowledge machine-usable Ensure an enterprise ecosystem for knowledge management is designed, coherent, and adopted. The Product team may well own the capability itself; you own that it exists at enterprise scope, hangs together, and is genuinely machine-usable. Provide the design and guidance for how knowledge lives in an AI world - structure, retrievability, ownership, and freshness - so agents and people consume it natively instead of hunting through documents nobody reads. Structure architecture principles, standards, patterns, and decisions as consumable artifacts rather than shelfware, so teams and agents pull from them by default. Shape AI-native work planning, prioritization, and completion tracking, including whether tooling built for human-read tickets still fits when agents are primary consumers of work. Encode standards as reusable scaffolds, safe defaults, and automated checks, so the right way is the easy way and formal review is reserved for genuinely irreversible decisions. Set the pattern for agentic delivery Define what the paved road must guarantee - the control-plane pattern, agent runtime patterns, guardrails, evals, supervision, and observability substrate that keep autonomous systems in bounds. The agentic delivery pod builds and operates it; you decide what it has to hold true. Work inside the group design process as a contributor, not a downstream approver, while keeping the final call on the pattern. Make sure the first pod's choices become the reusable pattern for the pods and teams that follow, rather than a one-off that has to be re-derived. Design team boundaries and interaction modes so the organization's structure produces the loosely-coupled, fast-iterating architecture the strategy requires (inverse Conway). Stay deliberately agile as the underlying tooling evolves. Pilot, prototype, and recommend where new capability should be adopted, including EV technology, IoT and on-vehicle systems, cloud-native patterns, and frontier AI. Build security and compliance in by construction Partner closely with the Senior Director of Cybersecurity and their team, who own risk assessment, to encode security, privacy, and regulatory requirements as policy-as-code and safe defaults. Make the obligations attached to student and driver data, including FERPA and applicable privacy laws, inherited by construction rather than enforced by review . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Team Our AI Enablement team drives enterprise-wide adoption of generative AI, spanning platform engineering, governance, and hands-on delivery of AI-powered products and internal tooling. The team builds and operates the infrastructure, integrations, and knowledge systems that let engineering and business teams safely adopt large language models at scale. The Lead AI Engineer joins as the senior technical authority on this team, setting the architectural direction that Senior and Associate AI Engineers build against. Position Summary The Lead AI Engineer provides technical leadership and architecture ownership for the company's AI platform and its embedded delivery initiatives, operating one level above the Senior AI Engineer role. This person owns the technical design of agentic and LLM-powered systems built on large language model APIs, including retrieval-augmented generation (RAG), tool/connector integration, and evaluation/governance tooling, in a highly regulated healthcare environment. The Lead AI Engineer sets architectural standards across AI-embedded product delivery, mentors Senior and Associate AI Engineers, and represents AI platform architecture to engineering leadership and Legal/Compliance/Privacy. Success is measured by the reliability, security, and scalability of the AI systems shipped, the rate at which Senior/Associate engineers adopt the architectural standards this role sets, and this role's influence on AI platform decisions across the organization. Key Responsibilities AI Architecture Leadership: Define the technical architecture and roadmap for LLM/agentic systems - model routing across cloud AI platforms, connector/integration patterns, RAG pipelines, and prompt/evaluation frameworks. Solution Design & Governance: Lead architecture reviews for new AI capabilities and ensure designs meet enterprise security, privacy, and data-provenance requirements. Platform Ownership: Drive the technical design of shared AI platform capabilities, including knowledge-retrieval systems, citation/traceability of AI-generated outputs, and permission-aware access to data. Hands-On Delivery: Personally architect and build high-complexity components on priority AI delivery initiatives where a working system, not just a design doc, is the deliverable. Technical Mentorship: Set coding, architecture, and evaluation standards for Senior and Associate AI Engineers; run design reviews and pair on complex agentic workflows. LLMOps & Responsible AI: Establish secure, observable, and cost-attributed AI operations - usage/spend attribution, abuse monitoring, model evaluation, and rollback strategy - for production LLM systems. Cross-Functional Architecture: Partner with engineering managers, product, platform, and Legal/Compliance to align AI architecture decisions with delivery timelines and enterprise standards. Vendor & Model Strategy: Evaluate foundation model providers and AI tooling vendors; make build-vs-buy and model-selection recommendations. Compliance & Risk: Ensure AI systems handling protected health information (PHI) meet regulatory and enterprise governance requirements. Organizational Impact: Represent AI architecture in cross-company forums and influence enterprise-wide AI platform direction. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role, presently or in the future. Minimum Requirements Bachelor's degree or equivalent experience; typically 8+ years of software engineering experience, including 3+ years focused on AI/ML, LLM, or NLP systems in production. Fewer years required with a relevant Master's or Doctorate. Critical Skills One level of demonstrated technical leadership above a Senior AI Engineer - e.g., owning architecture for a team or platform area, not just a single feature. Deep, hands-on expertise building production LLM applications: prompt engineering, RAG/GraphRAG, agentic workflows, tool use, and evaluation harnesses. Experience with commercial large language model APIs (e.g., Anthropic, OpenAI) and tool-integration protocols such as Model Context Protocol (MCP). Strong software engineering fundamentals: Python and/or Java, REST APIs, event-driven architecture, microservices, and cloud-native design (Azure preferred; AWS/GCP acceptable). Experience with vector/graph retrieval systems, embeddings, and knowledge-base architectures at production scale. Working knowledge of LLMOps/MLOps: usage attribution, cost/spend monitoring, abuse detection, and model evaluation pipelines. Ability to set architectural standards and mentor other engineers through design review and pairing, not just documentation. Familiarity with regulated/healthcare data environments and AI governance frameworks (model risk review, connector approval tiers, PHI handling) is a plus. Preferred Qualifications Advanced degree (M.S. or higher) in Computer Science, AI/ML, or a related technical field. Prior experience leading AI/ML platform or applied-AI teams inside healthcare IT or another highly regulated industry. Experience modernizing legacy systems toward AI-embedded workflows (agent-assisted development, AI-powered risk scoring, AI-driven automation). Experience with Confluence/Jira-based engineering governance and enterprise architecture review boards. Additional Skills Strong awareness of the fast-moving GenAI/agentic landscape and a demonstrated habit of continuous learning. Experience managing relationships with AI tooling vendors and model providers. Clear written and verbal communication for both technical and executive audiences We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $155,300 - $258,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
10/27/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Team Our AI Enablement team drives enterprise-wide adoption of generative AI, spanning platform engineering, governance, and hands-on delivery of AI-powered products and internal tooling. The team builds and operates the infrastructure, integrations, and knowledge systems that let engineering and business teams safely adopt large language models at scale. The Lead AI Engineer joins as the senior technical authority on this team, setting the architectural direction that Senior and Associate AI Engineers build against. Position Summary The Lead AI Engineer provides technical leadership and architecture ownership for the company's AI platform and its embedded delivery initiatives, operating one level above the Senior AI Engineer role. This person owns the technical design of agentic and LLM-powered systems built on large language model APIs, including retrieval-augmented generation (RAG), tool/connector integration, and evaluation/governance tooling, in a highly regulated healthcare environment. The Lead AI Engineer sets architectural standards across AI-embedded product delivery, mentors Senior and Associate AI Engineers, and represents AI platform architecture to engineering leadership and Legal/Compliance/Privacy. Success is measured by the reliability, security, and scalability of the AI systems shipped, the rate at which Senior/Associate engineers adopt the architectural standards this role sets, and this role's influence on AI platform decisions across the organization. Key Responsibilities AI Architecture Leadership: Define the technical architecture and roadmap for LLM/agentic systems - model routing across cloud AI platforms, connector/integration patterns, RAG pipelines, and prompt/evaluation frameworks. Solution Design & Governance: Lead architecture reviews for new AI capabilities and ensure designs meet enterprise security, privacy, and data-provenance requirements. Platform Ownership: Drive the technical design of shared AI platform capabilities, including knowledge-retrieval systems, citation/traceability of AI-generated outputs, and permission-aware access to data. Hands-On Delivery: Personally architect and build high-complexity components on priority AI delivery initiatives where a working system, not just a design doc, is the deliverable. Technical Mentorship: Set coding, architecture, and evaluation standards for Senior and Associate AI Engineers; run design reviews and pair on complex agentic workflows. LLMOps & Responsible AI: Establish secure, observable, and cost-attributed AI operations - usage/spend attribution, abuse monitoring, model evaluation, and rollback strategy - for production LLM systems. Cross-Functional Architecture: Partner with engineering managers, product, platform, and Legal/Compliance to align AI architecture decisions with delivery timelines and enterprise standards. Vendor & Model Strategy: Evaluate foundation model providers and AI tooling vendors; make build-vs-buy and model-selection recommendations. Compliance & Risk: Ensure AI systems handling protected health information (PHI) meet regulatory and enterprise governance requirements. Organizational Impact: Represent AI architecture in cross-company forums and influence enterprise-wide AI platform direction. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role, presently or in the future. Minimum Requirements Bachelor's degree or equivalent experience; typically 8+ years of software engineering experience, including 3+ years focused on AI/ML, LLM, or NLP systems in production. Fewer years required with a relevant Master's or Doctorate. Critical Skills One level of demonstrated technical leadership above a Senior AI Engineer - e.g., owning architecture for a team or platform area, not just a single feature. Deep, hands-on expertise building production LLM applications: prompt engineering, RAG/GraphRAG, agentic workflows, tool use, and evaluation harnesses. Experience with commercial large language model APIs (e.g., Anthropic, OpenAI) and tool-integration protocols such as Model Context Protocol (MCP). Strong software engineering fundamentals: Python and/or Java, REST APIs, event-driven architecture, microservices, and cloud-native design (Azure preferred; AWS/GCP acceptable). Experience with vector/graph retrieval systems, embeddings, and knowledge-base architectures at production scale. Working knowledge of LLMOps/MLOps: usage attribution, cost/spend monitoring, abuse detection, and model evaluation pipelines. Ability to set architectural standards and mentor other engineers through design review and pairing, not just documentation. Familiarity with regulated/healthcare data environments and AI governance frameworks (model risk review, connector approval tiers, PHI handling) is a plus. Preferred Qualifications Advanced degree (M.S. or higher) in Computer Science, AI/ML, or a related technical field. Prior experience leading AI/ML platform or applied-AI teams inside healthcare IT or another highly regulated industry. Experience modernizing legacy systems toward AI-embedded workflows (agent-assisted development, AI-powered risk scoring, AI-driven automation). Experience with Confluence/Jira-based engineering governance and enterprise architecture review boards. Additional Skills Strong awareness of the fast-moving GenAI/agentic landscape and a demonstrated habit of continuous learning. Experience managing relationships with AI tooling vendors and model providers. Clear written and verbal communication for both technical and executive audiences We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $155,300 - $258,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Job Description Job Description Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters-at the Moment of Service . At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We're looking for innovative and original thinkers to work in an environment where you can so that we can help others make theirs. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Job Description Our Aerospace & Defense business helps the world's leading airlines, MROs, OEMs and defense operators keep complex fleets and platforms mission-ready - managing the full maintenance, asset and service lifecycle at scale. We are reimagining how that software is built and delivered around AI, and we are investing in engineers who can put AI to work both inside our products and in how we build them. You operate forward deployed - working shoulder-to-shoulder with A&D customers in their own environments - to ship AI-powered mobile capabilities that connect IFS to the systems that run their operations. This is a Principal-level role: you are the person others build toward, setting technical direction across product groups, carrying deep expertise in Applied AI and Forward Deployed Engineering, and taking end-to-end ownership with a you-build-it, you-run-it mindset - from design and development through testing, deployment and operational reliability in the field. What you'll do • Shape our next-generation mobility solution. Help define and deliver the next-generation mobile experience for aviation maintenance - a fast, reliable, field-ready product that engineers trust to do their most critical work, including where connectivity is constrained. • Build AI into the product. Design and ship AI-powered product capabilities - model integration, prompt engineering, retrieval-augmented generation (RAG), agentic architectures and the evaluation harnesses and MLOps that keep them reliable in production. You build AI systems, not just use them. • Use AI to build the product. Treat AI-assisted development and agentic tooling as core engineering capability. You raise the bar for how the team builds - measurably faster and better - and set the standard others adopt. • Deploy forward. Embed with Aerospace & Defense customers to deploy, integrate and harden solutions in their environment. You connect IFS to the systems that run their business - ERP, CRM, IoT, telemetry, and legacy and mission systems - and own the solution architecture in real customer context, under real-world constraints. • Own delivery end to end. Design, develop, test, deploy and operate across the full stack in modern general-purpose languages. You own quality through automated testing, manage delivery through CI/CD, and ensure operational reliability in cloud, edge and mobile environments. • Lead as a Principal. Drive technical strategy across product groups, make the architecture and shipping-quality calls others defer, mentor engineers, and lift the AI and forward-deployment practice of the wider organisation. Represent IFS credibly in front of customers and partners. • Anchor to the customer. Ground technical decisions in direct customer evidence and business value. You understand the A&D domain deeply enough to know which problems are worth solving and how AI changes the answer. Qualifications Essential • Demonstrated, hands-on experience leveraging AI for building products - using AI-assisted and agentic development tooling as a core part of your workflow - and for building AI within products - shipping production AI capabilities using ML integration, prompt engineering, RAG, agentic architectures, evaluation and testing, and MLOps. • Mobile engineering: a proven track record building and shipping production mobile applications, with the depth to set the technical direction for a mobile product. Native iOS development experience is strongly preferred given this role's focus on our next-generation aviation-maintenance mobility solution. • Principal-level impact: a proven track record as a recognised technical authority who drives strategy and delivery across multiple teams or product groups, with the depth to operate as a role model in the most complex, large-scope work. • Forward-deployed strength: substantial experience deploying, integrating and operating enterprise software directly in customer environments, including integration with ERP, CRM, IoT and legacy systems, and owning solution architecture in customer context. • Full-lifecycle engineering: strong foundations across the delivery lifecycle - design and development, quality and testing, cloud and DevOps, and security - with proficiency in modern general-purpose programming languages beyond any single domain framework. • Leadership and ownership: end-to-end ownership with a you-build-it, you-run-it mindset, excellent communication with technical and non-technical audiences, and a track record of growing the capability of the engineers and teams around you. Nice to have • Experience working in or with Aerospace & Defense organisations, or on solutions for asset, maintenance, MRO or fleet-readiness management. • Experience with other enterprise asset management (EAM), field service or maintenance-management solutions. • Degree in Computer Science, Software Engineering or a related field, or equivalent practical experience. • Experience of agile delivery and of working with globally distributed teams. Additional Information Flexible paid time off, including sick and holiday Medical, dental, & vision insurance 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer
09/28/2026
Full time
Job Description Job Description Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters-at the Moment of Service . At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We're looking for innovative and original thinkers to work in an environment where you can so that we can help others make theirs. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Job Description Our Aerospace & Defense business helps the world's leading airlines, MROs, OEMs and defense operators keep complex fleets and platforms mission-ready - managing the full maintenance, asset and service lifecycle at scale. We are reimagining how that software is built and delivered around AI, and we are investing in engineers who can put AI to work both inside our products and in how we build them. You operate forward deployed - working shoulder-to-shoulder with A&D customers in their own environments - to ship AI-powered mobile capabilities that connect IFS to the systems that run their operations. This is a Principal-level role: you are the person others build toward, setting technical direction across product groups, carrying deep expertise in Applied AI and Forward Deployed Engineering, and taking end-to-end ownership with a you-build-it, you-run-it mindset - from design and development through testing, deployment and operational reliability in the field. What you'll do • Shape our next-generation mobility solution. Help define and deliver the next-generation mobile experience for aviation maintenance - a fast, reliable, field-ready product that engineers trust to do their most critical work, including where connectivity is constrained. • Build AI into the product. Design and ship AI-powered product capabilities - model integration, prompt engineering, retrieval-augmented generation (RAG), agentic architectures and the evaluation harnesses and MLOps that keep them reliable in production. You build AI systems, not just use them. • Use AI to build the product. Treat AI-assisted development and agentic tooling as core engineering capability. You raise the bar for how the team builds - measurably faster and better - and set the standard others adopt. • Deploy forward. Embed with Aerospace & Defense customers to deploy, integrate and harden solutions in their environment. You connect IFS to the systems that run their business - ERP, CRM, IoT, telemetry, and legacy and mission systems - and own the solution architecture in real customer context, under real-world constraints. • Own delivery end to end. Design, develop, test, deploy and operate across the full stack in modern general-purpose languages. You own quality through automated testing, manage delivery through CI/CD, and ensure operational reliability in cloud, edge and mobile environments. • Lead as a Principal. Drive technical strategy across product groups, make the architecture and shipping-quality calls others defer, mentor engineers, and lift the AI and forward-deployment practice of the wider organisation. Represent IFS credibly in front of customers and partners. • Anchor to the customer. Ground technical decisions in direct customer evidence and business value. You understand the A&D domain deeply enough to know which problems are worth solving and how AI changes the answer. Qualifications Essential • Demonstrated, hands-on experience leveraging AI for building products - using AI-assisted and agentic development tooling as a core part of your workflow - and for building AI within products - shipping production AI capabilities using ML integration, prompt engineering, RAG, agentic architectures, evaluation and testing, and MLOps. • Mobile engineering: a proven track record building and shipping production mobile applications, with the depth to set the technical direction for a mobile product. Native iOS development experience is strongly preferred given this role's focus on our next-generation aviation-maintenance mobility solution. • Principal-level impact: a proven track record as a recognised technical authority who drives strategy and delivery across multiple teams or product groups, with the depth to operate as a role model in the most complex, large-scope work. • Forward-deployed strength: substantial experience deploying, integrating and operating enterprise software directly in customer environments, including integration with ERP, CRM, IoT and legacy systems, and owning solution architecture in customer context. • Full-lifecycle engineering: strong foundations across the delivery lifecycle - design and development, quality and testing, cloud and DevOps, and security - with proficiency in modern general-purpose programming languages beyond any single domain framework. • Leadership and ownership: end-to-end ownership with a you-build-it, you-run-it mindset, excellent communication with technical and non-technical audiences, and a track record of growing the capability of the engineers and teams around you. Nice to have • Experience working in or with Aerospace & Defense organisations, or on solutions for asset, maintenance, MRO or fleet-readiness management. • Experience with other enterprise asset management (EAM), field service or maintenance-management solutions. • Degree in Computer Science, Software Engineering or a related field, or equivalent practical experience. • Experience of agile delivery and of working with globally distributed teams. Additional Information Flexible paid time off, including sick and holiday Medical, dental, & vision insurance 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer
Job Description Job Description Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation's security. In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP). It's what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results-showing we're ready to meet our customers' evolving demands. Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services. Description: Provide engineering expertise to analyze complex systems, architecture, network design and other technical hardware issues. Procure and perform acceptance testing on equipment. Provide hardware maintenance support, both preventative and remedial. Deploy, install, and implement hardware at Continental United States (CONUS) and Outside Continental United States (OCONUS). Prepare specifications for hardware by analyzing documented and derived system requirements. Conduct site surveys. Prepare engineering plans and site Technical Design Packages. Organize and direct hardware installations. Configure (and document configuration of) computers, networking devices and various peripheral equipment. Prepare site installation and test 1repm1s. Ensure that problems have been properly identified and solutions will satisfy the user's requirements. Prepare reports and recommendations concerning existing and emerging hardware technologies. Provide specific input to the hardware components of system design to include end-user devices, servers, networking devices, data storage devices, and specialized processors. Capabilities: Conduct site surveys; assesses and documents current site network configuration and site unique requirements Organize and direct hardware installations across multiple sites Analyze and recommend hardware specifications for project-unique or modified commercial hardware Assist with building simulations of proposed systems and provide hardware throughput analyses to system engineers Design and verify test harnesses/simulated interfaces for all test and integration phases Prepare Mean-Time-Between-Failure and Mean-Time-To-Repair analyses Analyze operational data to identify choke points, failure modes, and other data for design or maintainability improvements Review proposed systems, and support of network communications, including LAN/WAN systems Evaluate current systems and annotate system vulnerabilities Research and analyze data of various products to include COTS/GOTS components and GFE to determine feasibility of design or application Provide skilled technical assistance in network planning, engineering, and architecture Assist in the development of technical standards and interface applications, identify and evaluate new products, and provide resolution for network problems Provide evaluations of systems, networks and information systems to ensure designs meet applicable governmental security specifications Assist with the development of security system documentation on both new and fielded information systems Develop, analyze, and provide feedback on wired and wireless network systems Plan large and small-scale systems system vendor comparison, cost studies, and security Plan and evaluate complex existing network systems and make recommendations for resources required to maintain and/or expand service levels Independently develop technical standards and interface applications, identify and evaluate new products, and provide resolution for network problems Independently develop security system documentation of both new and fielded information systems Analyze, identify, describe, and brief system weaknesses and provide proposed system improvements Qualifications: Ten (10) years' experience as a Network Security Engineer analyzing complex hardware systems for SIGINT solutions is required. Bachelor's degree in Communications Engineering, Computer Engineering, Computer Science, Electrical Engineering, Information Systems, Mathematics, or related discipline from an accredited college or university is required. Five (5) years of additional Network Security engineering experience may be substituted for a Bachelor's degree. Must meet DoD approved 8570 Baseline Ce1tification for IAT Level II and possess at least 2 of the following vendor certifications: Palo Alto Networks Certified Network Security Administrator (PCNSA), Sonicwall Network Security Administrator (SNSA), Sonicwall Network Security Professional (SNSP), Symantec ProxySG 6.7 Technical Specialist or Cisco CCNA or higher. CLEARANCE REQUIRED: TS/SCI w/ Polygraph Other Requirements: U.S. Citizenship Compensation Spotlight: For this role, our typical salary range starts at $200,000 and stretches up to $275,000. But here's the deal - we're not about capping your potential. We're committed to snapping up the best and brightest, and we're ready to put our money where our mouth is. So, if you're one of the rare exceptions to the status quo with the education, experience, and that extra something special, we're not afraid to go above and beyond to secure your talent. Because for us, it's not just about a salary. It's about the complete rewards package, the culture, and the opportunity to make a real impact. Taking Care of the People Who Take Care of The Nation Compensation: We offer highly competitive compensation that is consistently recognized by our employees as being generous! Health & Retirement: We offer a comprehensive Health Benefits package and 401K Retirement plan so you can take care of yourself and your family both now and in the future. Other health-related benefits include People Partners who will help you navigate both personal and professional worlds, as well as strong wellness related resources offered through our healthcare provider. Education: Individual growth is a priority at Synergy ECP. Employees are encouraged to take advantage of our company-sponsored continuing education program so they can get their degree or that next certification needed to propel them towards the next level. Not sure what's best for your career plans, we'll help you navigate it all! Work/Life Balance: A healthy work/life balance is essential for building and executing your work effectively at Synergy ECP, but it's also necessary to allow you the room to pursue everything you want to develop in your personal life. We offer a generous Paid Time Off benefit and 11 paid holidays a year. Synergy ECP also provides flexible work options that work with your schedule and lifestyle. Philanthropy: With the help of our amazing employees, Synergy ECP participates annually in building awareness, volunteering and contributing to dozens of organizations. We believe that giving back creates a sense of purpose, engagement, and fulfillment. Have a cause you are passionate about? We bet you'll find others here that care about it just as much! Great Corporate Facilities: Come by our corporate office and enjoy a weekly happy hour, take a drive to nearby restaurants, grab a snack or coffee in our café, or utilize our collaborative office space and conference rooms. SkillBridge: Our SkillBridge Program takes the incredible experience our servicemembers already have and shows them how to apply it within corporate environments. We are fanatical about helping our Military! Synergy ECP is committed to providing equal employment opportunities to all qualified individuals. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, sex, national origin, religion, age, disability, or any other status protected by applicable law. We welcome candidates from all backgrounds and are dedicated to maintaining a professional and respectful workplace where every employee can succeed.
09/28/2026
Full time
Job Description Job Description Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation's security. In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP). It's what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results-showing we're ready to meet our customers' evolving demands. Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services. Description: Provide engineering expertise to analyze complex systems, architecture, network design and other technical hardware issues. Procure and perform acceptance testing on equipment. Provide hardware maintenance support, both preventative and remedial. Deploy, install, and implement hardware at Continental United States (CONUS) and Outside Continental United States (OCONUS). Prepare specifications for hardware by analyzing documented and derived system requirements. Conduct site surveys. Prepare engineering plans and site Technical Design Packages. Organize and direct hardware installations. Configure (and document configuration of) computers, networking devices and various peripheral equipment. Prepare site installation and test 1repm1s. Ensure that problems have been properly identified and solutions will satisfy the user's requirements. Prepare reports and recommendations concerning existing and emerging hardware technologies. Provide specific input to the hardware components of system design to include end-user devices, servers, networking devices, data storage devices, and specialized processors. Capabilities: Conduct site surveys; assesses and documents current site network configuration and site unique requirements Organize and direct hardware installations across multiple sites Analyze and recommend hardware specifications for project-unique or modified commercial hardware Assist with building simulations of proposed systems and provide hardware throughput analyses to system engineers Design and verify test harnesses/simulated interfaces for all test and integration phases Prepare Mean-Time-Between-Failure and Mean-Time-To-Repair analyses Analyze operational data to identify choke points, failure modes, and other data for design or maintainability improvements Review proposed systems, and support of network communications, including LAN/WAN systems Evaluate current systems and annotate system vulnerabilities Research and analyze data of various products to include COTS/GOTS components and GFE to determine feasibility of design or application Provide skilled technical assistance in network planning, engineering, and architecture Assist in the development of technical standards and interface applications, identify and evaluate new products, and provide resolution for network problems Provide evaluations of systems, networks and information systems to ensure designs meet applicable governmental security specifications Assist with the development of security system documentation on both new and fielded information systems Develop, analyze, and provide feedback on wired and wireless network systems Plan large and small-scale systems system vendor comparison, cost studies, and security Plan and evaluate complex existing network systems and make recommendations for resources required to maintain and/or expand service levels Independently develop technical standards and interface applications, identify and evaluate new products, and provide resolution for network problems Independently develop security system documentation of both new and fielded information systems Analyze, identify, describe, and brief system weaknesses and provide proposed system improvements Qualifications: Ten (10) years' experience as a Network Security Engineer analyzing complex hardware systems for SIGINT solutions is required. Bachelor's degree in Communications Engineering, Computer Engineering, Computer Science, Electrical Engineering, Information Systems, Mathematics, or related discipline from an accredited college or university is required. Five (5) years of additional Network Security engineering experience may be substituted for a Bachelor's degree. Must meet DoD approved 8570 Baseline Ce1tification for IAT Level II and possess at least 2 of the following vendor certifications: Palo Alto Networks Certified Network Security Administrator (PCNSA), Sonicwall Network Security Administrator (SNSA), Sonicwall Network Security Professional (SNSP), Symantec ProxySG 6.7 Technical Specialist or Cisco CCNA or higher. CLEARANCE REQUIRED: TS/SCI w/ Polygraph Other Requirements: U.S. Citizenship Compensation Spotlight: For this role, our typical salary range starts at $200,000 and stretches up to $275,000. But here's the deal - we're not about capping your potential. We're committed to snapping up the best and brightest, and we're ready to put our money where our mouth is. So, if you're one of the rare exceptions to the status quo with the education, experience, and that extra something special, we're not afraid to go above and beyond to secure your talent. Because for us, it's not just about a salary. It's about the complete rewards package, the culture, and the opportunity to make a real impact. Taking Care of the People Who Take Care of The Nation Compensation: We offer highly competitive compensation that is consistently recognized by our employees as being generous! Health & Retirement: We offer a comprehensive Health Benefits package and 401K Retirement plan so you can take care of yourself and your family both now and in the future. Other health-related benefits include People Partners who will help you navigate both personal and professional worlds, as well as strong wellness related resources offered through our healthcare provider. Education: Individual growth is a priority at Synergy ECP. Employees are encouraged to take advantage of our company-sponsored continuing education program so they can get their degree or that next certification needed to propel them towards the next level. Not sure what's best for your career plans, we'll help you navigate it all! Work/Life Balance: A healthy work/life balance is essential for building and executing your work effectively at Synergy ECP, but it's also necessary to allow you the room to pursue everything you want to develop in your personal life. We offer a generous Paid Time Off benefit and 11 paid holidays a year. Synergy ECP also provides flexible work options that work with your schedule and lifestyle. Philanthropy: With the help of our amazing employees, Synergy ECP participates annually in building awareness, volunteering and contributing to dozens of organizations. We believe that giving back creates a sense of purpose, engagement, and fulfillment. Have a cause you are passionate about? We bet you'll find others here that care about it just as much! Great Corporate Facilities: Come by our corporate office and enjoy a weekly happy hour, take a drive to nearby restaurants, grab a snack or coffee in our café, or utilize our collaborative office space and conference rooms. SkillBridge: Our SkillBridge Program takes the incredible experience our servicemembers already have and shows them how to apply it within corporate environments. We are fanatical about helping our Military! Synergy ECP is committed to providing equal employment opportunities to all qualified individuals. Employment decisions are based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, sex, national origin, religion, age, disability, or any other status protected by applicable law. We welcome candidates from all backgrounds and are dedicated to maintaining a professional and respectful workplace where every employee can succeed.
