# R&D DevSecOps Engineer at Rackner R&D DevSecOps Engineer at Rackner in Remote. Remote. Posted August 31, 2026. - Company: Rackner - Location: Remote - Workplace: Remote - Posted: 2026-08-31 - Apply: https://job-boards.greenhouse.io/rackner/jobs/4729164005 - Source: https://jobmagic.ai/jobs/rd-devsecops-engineer-rackner-zpnsw6 ## Requirements - Strong software development experience, particularly with Python. - Experience building backend services, APIs, integrations, or data-driven applications. - Experience with generative AI, LLM applications, coding agents, or AI-assisted software development. - Experience with DevSecOps, CI/CD, cloud-native development, or platform engineering. - Familiarity with Docker, Kubernetes, Git, automated testing, security scanning, and infrastructure-as-code. - Understanding of application architecture, secure coding, code review, debugging, and software supply-chain security. - Ability to independently take an evolving technical problem from concept through implementation and demonstration. - S. citizenship and the ability to obtain and maintain a government security clearance. ## Description **Software/AI Developer & DevSecOps Engineer. R&DLocation:** United States **Work Model:** Remote **Clearance:** U.S. citizenship required. Active Secret clearance preferred; candidates must be eligible to obtain and maintain a U.S. government security clearance. **Build Secure, AI-Enabled Mission Software** Rackner is seeking a Software/AI Developer & DevSecOps Engineer.  R&D to build mission-focused applications, AI-enabled development tools, and secure software-delivery pipelines for government and defense customers. This is a hands-on role spanning software engineering, generative AI, application modernization, and DevSecOps. You will develop working software while creating the controls needed to use AI coding agents safely in secure government environments. **What You’ll Do** - Build backend services, APIs, data workflows, and AI-enabled applications. - Develop model-agnostic coding agents and LLM workflows with human approval, prompt history, auditability, and controlled tool access. - Enforce architecture, UX, cybersecurity, testing, and deployment standards through automated policies and CI/CD controls. - Generate and maintain technical documentation, architecture diagrams, API documentation, and software bills of materials. - Use AI-assisted analysis to assess and modernize application portfolios through replatforming, refactoring, retirement, preservation, or API wrapping. - Integrate human- and AI-generated code into automated quality, functional, security, accessibility, and compliance testing. - Build hardened AI development environments using approved tools, isolated execution, restricted permissions, and secure containers or virtual machines. - Develop Platform One-compatible workflows that enforce Iron Bank images, approved cloud services, and Party Bus deployment requirements. - Connect user feedback, behavior telemetry, logs, metrics, and platform context to agents that identify issues and prepare reviewed pull requests. - Build platform-security automation that finds vulnerabilities and configuration risks, recommends fixes, and produces compliance evidence. - Collaborate with software, platform, cybersecurity, and mission teams to move R&D prototypes toward operational use. ** What You’ll Bring** - Strong software development experience, particularly with Python. - Experience building backend services, APIs, integrations, or data-driven applications. - Experience with generative AI, LLM applications, coding agents, or AI-assisted software development. - Experience with DevSecOps, CI/CD, cloud-native development, or platform engineering. - Familiarity with Docker, Kubernetes, Git, automated testing, security scanning, and infrastructure-as-code. - Understanding of application architecture, secure coding, code review, debugging, and software supply-chain security. - Ability to independently take an evolving technical problem from concept through implementation and demonstration. - S. citizenship and the ability to obtain and maintain a government security clearance. ** Helpful Experience** - Active Secret clearance or higher. - Experience with Platform One, Party Bus, Big Bang, Iron Bank, or DoD software factories. - Experience with OpenCode, Codex, Claude Code, LangGraph, LangChain, LlamaIndex, or similar agentic-development tools. - Experience with FastAPI, Prefect, Temporal, PostgreSQL, vector databases, or event-driven systems. - Experience with AWS, Azure, Helm, Terraform, GitLab CI, GitHub Actions, or Argo CD. - Familiarity with NIST SP 800-53, RMF, DISA STIGs, CMMC, cATO, or other DoD cybersecurity requirements. - Experience with SAST, DAST, SBOM generation, dependency scanning, observability, or automated remediation. - Experience modernizing legacy systems or developing software for classified, disconnected, or constrained environments. - Experience supporting defense, C2, ISR, mission planning, autonomy, or other national security missions. **What Success Looks Like** Success means delivering software and AI-assisted engineering workflows that are functional, secure, explainable, maintainable, and deployable. You will help shorten the path from mission need to operational capability while ensuring AI-generated changes remain controlled, tested, traceable, and subject to human review. **About Rackner** Rackner builds mission-critical systems for the U.S. government across software engineering, AI/ML, DevSecOps, cloud platforms, distributed systems, and application modernization. **Benefits & Perks** - Company-supported technical certifications - Clear advancement and leadership opportunities - 401(k) with 100% match up to 6% - Comprehensive medical, dental, vision, life, and disability coverage - Generous PTO and paid holidays - Home-office equipment and remote-work support - Fitness and wellness reimbursement - Weekly pay and team events ** Equal Opportunity** Rackner is an equal opportunity employer and considers all qualified applicants without regard to any legally protected characteristic.