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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevSecOps Engineer - AI - **Company:** KMJJ Enterprise LLC - **Location:** Huntsville, AL, United States (Remote available) - **Experience:** Expert - **Salary:** $107,900.0 - $195,050.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Automation of Tests, Microsoft Azure, Continuous Integration, Data Stores, Relational Databases, Software Design Patterns, Machine Learning, NoSQL, Open Web Application Security, Scrum Methodology, Systems Development Life Cycle, Site Reliability Engineering Practices, Zero Trust Network Access, Software Engineering, System Availability, Software Security, Git, Gitlab-ci, Kubernetes, Machine Learning Operations, Software Version Control, Data Pipelines, Devsecops, Serverless Computing, Jenkins, Microservices - **Published:** July 22, 2026 - **Apply:** https://www.careerjet.com/job/register/usa51001e54597d2e4932b0fe063b44a24 ## About the Role * Must be a U.S. citizen to obtain VA clearance. * BS degree with 7+ years of experience. * Experience with Azure is a must * Experience with AI Foundry, LangChain, and LangGraph. * Experience with the BrownMM DevSecOps toolchain is a plus. * Strong communication skills and customer-facing level of polish. * Able to produce lightweight but useful documentation of system design and automation mechanisms. * 5+ Years of experience across the following: * Agile lifecycle based on Kanban, Scrum, SAFe, or other frameworks. * Automated software delivery in a CI/CD environment using Jenkins, GitLab CI, or similar. * Git-based version control. * Relational databases and SQL, NoSQL data stores. * Automation of system backup and recovery, high availability, and zero-downtime approaches. * Federal application security practices including OWASP, Zero-trust principles, encryption at rest and in transit. * FISMA high-security system controls and constraints. * Experience with the following technology domains in a production system environment: * One or more of: Kubernetes, Azure AI Framework * Terrafor ## Description DevSecOps Engineer to support the Department of Veterans Affairs AI Pilot Teams. As a DevSecOps Engineer, you will: * Develop and configure software and CI/CD pipelines to support pilot development and service integration, and establish DevSecOps practices to be used by the AI Development Framework. * Build platforms and automated delivery pipelines using Azure services, Serverless frameworks, Kubernetes and containerization approaches, and microservice design patterns. * Create and design infrastructure-as-code solutions to promote services through development, test, and production environments. * Collaborate with customers and team members as part of an Agile lifecycle to gather, understand, and refine platform and application requirements. * Follow DevSecOps best practices for full security integration, infrastructure as code, operational visibility, and Site Reliability Engineering practices. * Harden and ensure the security and accreditation of a multitenant development platform. * Use automation techniques to provision cloud environments * Experience with the BrownMM DevSecOps toolchain is a plus * Develop service integrations and data pipelines to feed data models * Defines and establishes DevSecOps practices to be used by the AI Development Framework. * Use AI and ML techniques to support creating system functionality. Use of LangChain and LangGraph or similar tools. * Supports development environments to use AI/ML technologies in support of MLOps. * Leverage AI models to improve outcomes and results of the system. * Support a full system development agile lifecycle. * Understand and use enterprise standards and best practices around coding, application design, automated testing, and microservices design. * Translate business requirements and context into sound and efficient solutions. * Support documentation of the systems and processes as needed. * Learn and adopt new technologies quickly and independently and assist teammates with implementation and knowledge sharing. ## Related Videos - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 196: AI Killed DevOps, LLM Political Bias & AI Security](https://www.wearedevelopers.com/magazine/659-dev-digest-196-ai-killed-devops-llm-political-bias-ai-security) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)