Software/AI Developer & DevSecOps Engineer, R&D

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.
• U.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.