> Markdown version of [/jobs/ext/3868923-deployment-engineer](https://www.wearedevelopers.com/jobs/ext/3868923-deployment-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). --- # Deployment Engineer - **Company:** Nabout Leidos - **Location:** United States - **Experience:** Experienced - **Salary:** $87,100.0 - $157,450.0 - **Contract:** Permanent contract - **Skills:** Proxmox, Computer Programming, System Configuration, Linux, DevOps, Python (Programming Language), PostgreSQL, Node.Js, Redis, Systems Architecture, Data Logging, Scripting, Large Language Models, Containerization, Kubernetes, Deployment Automation, Machine Learning Operations, Vertica, Devsecops, Docker, Static Application Security Testing, Dynamic Application Security Testing - **Published:** October 22, 2026 - **Apply:** https://jobs.military.com/career/371536/deployment-engineer-ohio-oh-columbus ## About the Role * 3+ years in deployment engineering, systems/platform engineering, DevOps, or production infrastructure, including hands-on responsibility for standing up and supporting running systems.\n * Hands-on experience deploying and operating containerized workloads with Kubernetes and Docker (e.g., MicroK8s, K3s, or equivalent), including multi-node clusters.\n * Proficiency administering Linux systems, with practical troubleshooting across networking, storage, and containers.\n * Experience deploying or supporting workloads that call internal or external LLM endpoints, and comfort reasoning about rate limits, provider failures, and model serving.\n * Experience building and testing backup and recovery so deployed systems can be restored reliably.\n * Experience building monitoring, logging, and alerting so problems are caught before customers notice them.\n * Experience automating repetitive setup and configuration tasks and reducing configuration drift.\n * Comfort operating long-running, highly parallel, retried, and non-deterministic jobs, including partially completed work and checkpointing.\n * Strong documentation habits - able to capture system architecture and train others to operate and troubleshoot what you deploy.\n * Scripting/programming ability (e.g., Python) sufficient to automate deployment and glue systems together.\n * Ability to obtain and maintain a U.S. government security clearance. U.S. citizenship required.\n, * Experience with Proxmox or other virtualization, and self-hosted compute clusters.\n * Familiarity with a durable workflow orchestration system such as Temporal, including diagnosing stuck, retried, and non-retryable executions.\n * Experience operating Postgres, ClickHouse, or Redis.\n * Familiarity with NixOS, Nix flakes, and reproducible system configuration.\n * Exposure to defining Service Level Indicators/Objectives and error budgets.\n * CPU/GPU scheduling for compute-intensive workloads, with capacity and utilization telemetry.\n * Workload isolation and ephemeral execution environments for untrusted or potentially hostile software.\n * Prior experience delivering software into classified, air-gapped, or disconnected government environments.\n * Familiarity with NIST RMF accreditation activities (ATO / continuous ATO).\n * Familiarity with DevSecOps pipelines and security tooling (SAST, DAST, SCA), or vulnerability-management workflows.\n * Active U.S. government security clearance.\n * Certifications such as Certified Kubernetes Administrator, a cloud architect/engineer credential, or Security+.\n ## Description This role is for a hands-on engineer who enjoys standing systems up, making them run reliably in someone else's environment, and leaving behind clear documentation so others can operate what you deploy. You are comfortable working across Kubernetes, LLM endpoints, and Linux systems, and you are at ease with workloads that run for hours, retry, and return non-deterministic results. You'll partner closely with platform engineering and the Cyber Agent development teams, help customers get to a healthy running state, and feed what you learn in the field back into the product. We're a collaborative team working at the leading edge, and we're looking for someone who wants to both learn and lead. This is not a supervisory role.