R&D DevSecOps Engineer

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. The role spans software engineering, generative AI, application modernization, and DevSecOps, with a focus on enabling safe AI coding workflows in secure government environments.

Responsibilities:

• 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

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
• 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