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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems and Platform Engineer - TS/SCI - **Company:** Xcelerate Solutions - **Location:** Bethesda, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Systems Engineering, Bash Shell, Ubuntu (Operating System), Cloud Computing, Cyber Security, Data Centers, Linux, Python (Programming Language), Linux Distribution, Red Hat Enterprise Linux, Ansible, Software Engineering, Oracle Linux, Virtualization Technology, Workflow Management Systems, Infrastructure as Code (IaC), Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Slurm, Restful APIs, Terraform, Docker - **Published:** September 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b18b4be1c0d8429a ## About the Role Xcelerate Solutions is looking for a highly skilled platform engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize Kubernetes clusters that power enterprise AI for the mission customers., * Due to the nature of the government contracts we support, US Citizenship is required. * TS/SCI with CI Poly is required for position or a TS/SCI and willingness to obtain a Poly. * Requires a Bachelor's degree and 10+ years of relevant experience, or Masters degree with 8+ years of experience. Additional years of experience may be considered in lieu of a degree * 5+ years in Platform Engineering or System Engineering experience. * Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle Linux, and Rocky). * Experience administering Kubernetes clusters, including deploying, scaling, and maintaining containerized workloads. * Hands-on experience creating, managing, and troubleshooting Docker containers and container images throughout the software development lifecycle. * Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow). * Strong track record with consuming, and troubleshooting RESTful APIs for platform integration and automation. * Excellent problem-solving skills and the ability to collaborate within a team. * Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP)., * Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, 200, B300, L40S). * Experience with NVIDIA enterprise tools such as Base Command Manager, Run:AI, Nvidia AI Enterprise. * Knowledge of enterprise server components (storage/network controllers, HBA, SSDs). * Familiarity with GPU virtualization and cloud computing. * Experience developing and deploying infrastructure in AWS. * Knowledge of distributed resource scheduling systems. (Slurm , LSF, Open MPI,etc.) ## Description * Kubernetes Cluster Engineering: Design, configure, and maintain enterprise Kubernetes platforms. Collaborate with a multidisciplinary team to define and optimize Kubernetes architecture, ensuring they meet performance, efficiency, and feature requirements. * Infrastructure as Code: Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, Salt, Ansible, Bash, Python or similar frameworks. * Collaborate with development teams to design and implement secure, automated, and repeatable pipelines (e.g., GitLab CI/CD). * Troubleshot complex systems issues across cloud, network, and platform layers. * Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [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) - [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) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)