> Markdown version of [/jobs/ext/1305913-federal-platform-engineer](https://www.wearedevelopers.com/jobs/ext/1305913-federal-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Federal Platform Engineer - **Company:** Everforth Apex - **Location:** Washington, DC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, DevOps, Github, Network Security, Octopus Deploy, Zero Trust Network Access, Cloud Platform System, Istio, Large Language Models, Kubernetes Helm Charts, Database Performance, Gitlab-ci, Kubernetes, Virtual Agents, Terraform, Serverless Computing, AWS EKS, Microservices - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/a3918b2d-01a3-42fc-bdf2-a90f540587b8 ## About the Role Minimum Quali?cations Current, active TS/SCI security clearance with polygraph. Current, active Security+ or equivalent certificate for privileged user access. 5 years of professional infrastructure, DevOps or platform engineering experience, with a focus on cloud-native infrastructure. 3 years of experience managing production Kubernetes environments. 3 years of experience with Flux (or equivalent GitOps controller like Argo CD) and authoring/maintaining Helm charts. Proven experience with Infrastructure as Code (Terraform) and CI/CD tools (GitLab CI, GitHub Actions). Practical experience operating systems in U.S. Federal or DoD environments. ## Description The Federal Platform Engineer is a crucial member of the team who is responsible for the Agentic AI platform?s scalability and reliability. Serving as the primary architect and operator of the infrastructure required to run complex, agentic applications, you will own the end-to-end lifecycle of the platform-from initial infrastructure-as-code provisioning to high-scale, day-two operations. In this role, you bridge the gap between cloud-native engineering and the unique demands of AI/LLM workloads, ensuring that agentic systems are backed by resilient, secure, and performant environments. You are deeply passionate about automation, Kubernetes orchestration, and the operational rigor required to support real-time, stateful agent execution. Rather than just deploying "black box" infrastructure, you thrive on solving the complexities of high-scale systems: managing GPU orchestration, optimizing vector database performance, and implementing robust observability pipelines that provide visibility into the "thought process" of live agents. Scalable Foundations: Design and implement the path from local development to deployed federal cloud clusters (AWS GovCloud/Azure Government) using Kubernetes EKS/AKS, Infrastructure as Code, Terraform/OpenTofu/CDK, and GitOps controllers Flux/Argo CD. Optimized Compute: Configure and manage specialized compute resources, including GPU-accelerated node groups and serverless scaling policies, to support inference and training workloads. Network & Security Hardening: Implement Zero Trust architecture principles, ensuring secure communication between microservices, agentic tools, and external APIs through service meshes (e.g., Istio) and egress controls. Packaging & Promotion: Author and maintain Helm charts for application delivery, managing the promotion path from local-to-AWS and ensuring consistency across environments. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [Platform Engineering vs. DevOps Why not both?](https://www.wearedevelopers.com/videos/885-platform-engineering-vs-devops-why-not-both) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)