Role Description
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.
-
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.
Qualifications
-
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.
Requirements
-
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.
Benefits
-
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