{"schemaVersion":"jobsearcher.job.v1","id":"a68bc2ea6d754e29618b3056","url":"https://jobsearcher.com/jobs/a68bc2ea6d754e29618b3056","canonicalUrl":"https://jobsearcher.com/jobs/a68bc2ea6d754e29618b3056","title":"Full Stack & DevSecOps Engineer","description":"About Peraton\n\nPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.\n\nAbout The Role\n\nPeraton is seeking a talented and motivated Full Stack & DevSecOps Engineer to join a dynamic team building and operating a cutting-edge Agentic AI platform. This hybrid role sits at the intersection of application engineering and platform operations — combining the responsibilities of a Full Stack Engineer specializing in Agentic AI and External Integrations with those of a DevSecOps / Platform Engineer.\n\nIn this role, you will design, develop, and maintain the integrations and intelligent agent capabilities that power a next-generation decision-support platform, while also owning the delivery infrastructure, CI/CD pipelines, cloud operations, and platform health that keep it running securely and reliably. You will work across the full stack to connect AI agents with diverse external data sources, package real-world capabilities as reliable agent tools, and ensure that the systems you build are secure, scalable, observable, and production ready.\n\nIf you are passionate about applied AI, thrive in fast-moving environments, and take pride in building platforms that real users depend on — from the application layer down to the infrastructure — this is an opportunity to make a meaningful impact supporting critical missions.\n\nLocation: Columbus, Ohio — candidates must currently reside in the area or be willing to relocate.\n\nKey Responsibilities\n\nFull Stack & Agentic AI Engineering\n\nDesign and build integrations to external sources of information, including public APIs, licensed data feeds, partner systems, customer enterprise systems, web content, document repositories, and structured databases\nPackage external capabilities as agent tools and skills with clean interfaces, predictable inputs/outputs, sound error handling, and documentation usable by both AI agents and human configurators\nDevelop and maintain full-stack components spanning FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL\nBuild and consume web APIs (REST, GraphQL, or comparable), handling production integration concerns such as authentication, pagination, rate limiting, retry/backoff, schema mapping, deduplication, and caching\nImplement and maintain workflow and task orchestration pipelines using systems such as Airflow, Prefect, Celery, or comparable agent orchestration patterns\nIntegrate LLMs into production or near-production applications, leveraging APIs such as OpenAI, Anthropic, or AWS Bedrock\nApply security best practices specific to agentic and external integration work — including secrets management, OAuth and API-key handling, defensive parsing, and prompt-injection awareness\nCollaborate across teams with a product mindset, keeping the end-user experience central to technical decisions\n\nDevSecOps & Platform Engineering\n\nBuild and maintain CI/CD pipelines across GitHub Actions and/or GitLab CI, enabling secure, repeatable, and efficient delivery workflows\nImplement and improve automated testing and quality gates within the software delivery lifecycle, including build validation, integration checks, security testing, and deployment controls\nPlan and execute releases and deployments — coordinating change windows, managing release artifacts, running deployment automation, validating post-deployment health, and supporting rollback procedures\nSupport operational ownership of Amazon EKS / Kubernetes environments, including cluster lifecycle activities, upgrades, troubleshooting, RBAC, Helm-based deployments, pod identity, and GitOps-aligned workflows\nBuild and maintain AWS infrastructure supporting platform and application needs across services such as VPC, IAM, S3, RDS, CloudTrail, and KMS\nContribute to infrastructure provisioning and lifecycle management through OpenTofu / Terraform and related infrastructure-as-code practices\nAdminister user management for the platform — identity provider integration (SSO/SAML/OIDC), RBAC, provisioning and deprovisioning workflows, and periodic access reviews\nDesign and operate a mature monitoring, logging, and alerting stack using CloudWatch, Prometheus/Grafana, or equivalent tooling\nRoutinely assess system logs to detect anomalies, configuration drift, misuse, and security-relevant events; triage findings and drive remediation\nBuild and maintain synthetic and transactional monitoring that exercises real authentication flows, user journeys, and critical service transactions\nTrack and remediate Information Assurance Vulnerability Management (IAVM) notices and other vulnerability advisories — maintain inventory accuracy, drive patching to closure, and produce compliance reporting evidence\nImplement and maintain DAST and runtime security testing in delivery pipelines using tools such as OWASP ZAP, Burp, Nuclei, or equivalent\nSupport security-focused CI/CD practices including secrets management, least privilege, software supply chain integrity, and audit evidence generation\n\nQualifications\n\nRequired Qualifications\n\nMinimum of a BA/BS degree with 2 years of experience; MS degree with 0 years of experience\nBachelor's degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or Computer Engineering\nHands-on experience building with AI agents — multi-step reasoning, tool use, RAG pipelines, or autonomous task execution\nStrong Python skills (3.12+); comfort with async/await patterns, type hints, and modern Python tooling\nFamiliarity with agentic frameworks and an understanding of the underlying concepts (chains, tool calling, agent loops) that transfer across tools\nExperience operating CI/CD pipelines in GitHub Actions and/or GitLab CI\nExperience with cloud infrastructure (AWS) including VPC, IAM, S3, RDS, CloudTrail, and KMS\nHands-on experience with Kubernetes (Amazon EKS preferred), including cluster upgrades, RBAC, Helm, and GitOps workflows\nExperience building and maintaining Terraform/OpenTofu infrastructure-as-code\nStrong skills in release planning, deployment automation, validation, and rollback procedures\nExperience with monitoring, logging, and alerting systems (CloudWatch, Prometheus, Grafana, or similar)\nAbility to perform anomaly detection, log analysis, and troubleshoot configuration and security issues\nPractical understanding of secrets management, least privilege, supply chain security, and audit evidence\nExperience performing vulnerability remediation and managing IAVM or similar compliance requirements\nFamiliarity with DAST and runtime security testing tools (e.g., OWASP ZAP, Burp, Nuclei)\nExperience with identity provider integration (SSO/SAML/OIDC) and RBAC administration\nComfort operating with some ambiguity in a fast-moving environment\n\nClearance Requirements\n\nU.S. Citizenship is required\nAbility to obtain a Public Trust\n\nDesired Qualifications\n\nProduction experience with agent frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, OpenAI Agents SDK, Anthropic tool-use, or comparable) and a sound point of view on when each is the right tool\nExperience designing and operating retrieval-augmented generation (RAG) systems — chunking strategies, embedding models, vector stores, hybrid retrieval, reranking, and grounding/citation patterns\nExperience integrating with knowledge graphs, document stores, or curated content repositories as agent-accessible sources\nExperience evaluating agent and LLM systems — building eval harnesses, golden datasets, regression testing, and observability for non-deterministic systems\nExposure to orchestration patterns: supervisor agents, parallel tool calls, human-in-the-loop flows, DAG-based pipeline execution\nExperience building plugin or extension systems: dynamic code loading, container isolation, API mixin patterns\nFamiliarity with prompt engineering, evaluation frameworks, or agent observability\nFamiliarity with federal compliance environments: FedRAMP, FIPS 140-2/3, IronBank container hardening, OPA policy enforcement, or Section 508 accessibility\nExperience with observability tooling: OpenTelemetry, Jaeger, Prometheus, Grafana, or similar distributed tracing/metrics stacks\nExperience with container orchestration (Docker SDK, Kubernetes) and distributed storage (S3, MinIO, JuiceFS)\nExperience designing synthetic or transactional monitoring tied to user journeys and critical service flows\nExperience developing SLOs, service health indicators, and high-fidelity operational alerting\nExperience with modern delivery patterns such as trunk-based development, merge-request-driven change, and automated release quality controls\nExperience in security-focused CI/CD or DevSecOps environments\nExperience coordinating with customer security teams or operating within compliance frameworks\nPrior work building internal tooling, enterprise automation products, or platforms for government customers\n\nDetails\n\nTarget Salary Range: $66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.\n\nBenefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.\n\nApplication Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.\n\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.","company":"Peraton","rawCompany":"peraton","city":"New Concord","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-09-11T10:28:46.180Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack & DevSecOps Engineer","description":"About Peraton\n\nPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.\n\nAbout The Role\n\nPeraton is seeking a talented and motivated Full Stack & DevSecOps Engineer to join a dynamic team building and operating a cutting-edge Agentic AI platform. This hybrid role sits at the intersection of application engineering and platform operations — combining the responsibilities of a Full Stack Engineer specializing in Agentic AI and External Integrations with those of a DevSecOps / Platform Engineer.\n\nIn this role, you will design, develop, and maintain the integrations and intelligent agent capabilities that power a next-generation decision-support platform, while also owning the delivery infrastructure, CI/CD pipelines, cloud operations, and platform health that keep it running securely and reliably. You will work across the full stack to connect AI agents with diverse external data sources, package real-world capabilities as reliable agent tools, and ensure that the systems you build are secure, scalable, observable, and production ready.\n\nIf you are passionate about applied AI, thrive in fast-moving environments, and take pride in building platforms that real users depend on — from the application layer down to the infrastructure — this is an opportunity to make a meaningful impact supporting critical missions.\n\nLocation: Columbus, Ohio — candidates must currently reside in the area or be willing to relocate.\n\nKey Responsibilities\n\nFull Stack & Agentic AI Engineering\n\nDesign and build integrations to external sources of information, including public APIs, licensed data feeds, partner systems, customer enterprise systems, web content, document repositories, and structured databases\nPackage external capabilities as agent tools and skills with clean interfaces, predictable inputs/outputs, sound error handling, and documentation usable by both AI agents and human configurators\nDevelop and maintain full-stack components spanning FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL\nBuild and consume web APIs (REST, GraphQL, or comparable), handling production integration concerns such as authentication, pagination, rate limiting, retry/backoff, schema mapping, deduplication, and caching\nImplement and maintain workflow and task orchestration pipelines using systems such as Airflow, Prefect, Celery, or comparable agent orchestration patterns\nIntegrate LLMs into production or near-production applications, leveraging APIs such as OpenAI, Anthropic, or AWS Bedrock\nApply security best practices specific to agentic and external integration work — including secrets management, OAuth and API-key handling, defensive parsing, and prompt-injection awareness\nCollaborate across teams with a product mindset, keeping the end-user experience central to technical decisions\n\nDevSecOps & Platform Engineering\n\nBuild and maintain CI/CD pipelines across GitHub Actions and/or GitLab CI, enabling secure, repeatable, and efficient delivery workflows\nImplement and improve automated testing and quality gates within the software delivery lifecycle, including build validation, integration checks, security testing, and deployment controls\nPlan and execute releases and deployments — coordinating change windows, managing release artifacts, running deployment automation, validating post-deployment health, and supporting rollback procedures\nSupport operational ownership of Amazon EKS / Kubernetes environments, including cluster lifecycle activities, upgrades, troubleshooting, RBAC, Helm-based deployments, pod identity, and GitOps-aligned workflows\nBuild and maintain AWS infrastructure supporting platform and application needs across services such as VPC, IAM, S3, RDS, CloudTrail, and KMS\nContribute to infrastructure provisioning and lifecycle management through OpenTofu / Terraform and related infrastructure-as-code practices\nAdminister user management for the platform — identity provider integration (SSO/SAML/OIDC), RBAC, provisioning and deprovisioning workflows, and periodic access reviews\nDesign and operate a mature monitoring, logging, and alerting stack using CloudWatch, Prometheus/Grafana, or equivalent tooling\nRoutinely assess system logs to detect anomalies, configuration drift, misuse, and security-relevant events; triage findings and drive remediation\nBuild and maintain synthetic and transactional monitoring that exercises real authentication flows, user journeys, and critical service transactions\nTrack and remediate Information Assurance Vulnerability Management (IAVM) notices and other vulnerability advisories — maintain inventory accuracy, drive patching to closure, and produce compliance reporting evidence\nImplement and maintain DAST and runtime security testing in delivery pipelines using tools such as OWASP ZAP, Burp, Nuclei, or equivalent\nSupport security-focused CI/CD practices including secrets management, least privilege, software supply chain integrity, and audit evidence generation\n\nQualifications\n\nRequired Qualifications\n\nMinimum of a BA/BS degree with 2 years of experience; MS degree with 0 years of experience\nBachelor's degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or Computer Engineering\nHands-on experience building with AI agents — multi-step reasoning, tool use, RAG pipelines, or autonomous task execution\nStrong Python skills (3.12+); comfort with async/await patterns, type hints, and modern Python tooling\nFamiliarity with agentic frameworks and an understanding of the underlying concepts (chains, tool calling, agent loops) that transfer across tools\nExperience operating CI/CD pipelines in GitHub Actions and/or GitLab CI\nExperience with cloud infrastructure (AWS) including VPC, IAM, S3, RDS, CloudTrail, and KMS\nHands-on experience with Kubernetes (Amazon EKS preferred), including cluster upgrades, RBAC, Helm, and GitOps workflows\nExperience building and maintaining Terraform/OpenTofu infrastructure-as-code\nStrong skills in release planning, deployment automation, validation, and rollback procedures\nExperience with monitoring, logging, and alerting systems (CloudWatch, Prometheus, Grafana, or similar)\nAbility to perform anomaly detection, log analysis, and troubleshoot configuration and security issues\nPractical understanding of secrets management, least privilege, supply chain security, and audit evidence\nExperience performing vulnerability remediation and managing IAVM or similar compliance requirements\nFamiliarity with DAST and runtime security testing tools (e.g., OWASP ZAP, Burp, Nuclei)\nExperience with identity provider integration (SSO/SAML/OIDC) and RBAC administration\nComfort operating with some ambiguity in a fast-moving environment\n\nClearance Requirements\n\nU.S. Citizenship is required\nAbility to obtain a Public Trust\n\nDesired Qualifications\n\nProduction experience with agent frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, OpenAI Agents SDK, Anthropic tool-use, or comparable) and a sound point of view on when each is the right tool\nExperience designing and operating retrieval-augmented generation (RAG) systems — chunking strategies, embedding models, vector stores, hybrid retrieval, reranking, and grounding/citation patterns\nExperience integrating with knowledge graphs, document stores, or curated content repositories as agent-accessible sources\nExperience evaluating agent and LLM systems — building eval harnesses, golden datasets, regression testing, and observability for non-deterministic systems\nExposure to orchestration patterns: supervisor agents, parallel tool calls, human-in-the-loop flows, DAG-based pipeline execution\nExperience building plugin or extension systems: dynamic code loading, container isolation, API mixin patterns\nFamiliarity with prompt engineering, evaluation frameworks, or agent observability\nFamiliarity with federal compliance environments: FedRAMP, FIPS 140-2/3, IronBank container hardening, OPA policy enforcement, or Section 508 accessibility\nExperience with observability tooling: OpenTelemetry, Jaeger, Prometheus, Grafana, or similar distributed tracing/metrics stacks\nExperience with container orchestration (Docker SDK, Kubernetes) and distributed storage (S3, MinIO, JuiceFS)\nExperience designing synthetic or transactional monitoring tied to user journeys and critical service flows\nExperience developing SLOs, service health indicators, and high-fidelity operational alerting\nExperience with modern delivery patterns such as trunk-based development, merge-request-driven change, and automated release quality controls\nExperience in security-focused CI/CD or DevSecOps environments\nExperience coordinating with customer security teams or operating within compliance frameworks\nPrior work building internal tooling, enterprise automation products, or platforms for government customers\n\nDetails\n\nTarget Salary Range: $66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.\n\nBenefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.\n\nApplication Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.\n\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.","datePosted":"2026-09-11T10:28:46.180Z","dateModified":"2026-09-11T10:28:46.180Z","hiringOrganization":{"@type":"Organization","name":"Peraton","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Concord","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a68bc2ea6d754e29618b3056"},"url":"https://jobsearcher.com/jobs/a68bc2ea6d754e29618b3056"}}