# R&D DevSecOps Engineer at Rackner

> Remote · region unclear · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Arackner%3A4729164005 (read 2026-11-05).

## Facts (observed)

- Company: [Rackner](https://alderhq.app/companies/rackner)
- Location text: Remote; HQ
- Where it can be done from (inferred): Remote · region unclear (evidence: "Location: Remote; HQ")
- Posted: 2026-08-31 (66 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/rackner/jobs/4729164005
- Skills listed (inferred): Python, FastAPI, PostgreSQL, AWS, Azure, Kubernetes, Docker, Terraform, LLMs

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Arackner%3A4729164005 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.