Build backend services, APIs, data workflows, AI-enabled applications, coding agents, and secure DevSecOps pipelines for government and defense customers. Establish controlled AI development environments, automated quality and security testing, compliance evidence, software supply-chain protections, and Platform One-compatible deployment workflows. Modernize legacy applications and collaborate with software, platform, cybersecurity, and mission teams to transition R&D prototypes into secure operational capabilities.
Software/AI Developer & DevSecOps Engineer. R&D
Location: 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.
Similar Jobs
Machine Learning • Security • Software • Analytics • Defense
Leads strategic sourcing, category strategy, supplier relationship management, negotiations, risk mitigation, and procurement process improvement for defense and government programs. The role manages sourcing events, supplier performance, compliance, internal stakeholder partnerships, and supply chain teams while applying FAR, DFARS, ERP, contract management, and AI-enabled tools. Requires substantial federal contracting experience, supervisory leadership, and the ability to obtain and maintain a government security clearance.
Top Skills:
Ai-Enabled ToolsContract Management SystemsDfarsErp SystemsFarMS Office
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.
Top Skills:
AWSCi/CdDockerGCPKubernetesLlmsOauth2OidcOktaPythonRest ApisTerraformTypescript
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
Lead the product strategy for Feedonomics' API and AI assistant, drive enhancements for developer experience, and collaborate with engineering for successful product delivery.
Top Skills:
AIAPIsCliMcp
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
