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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** Allen Control Systems - **Location:** Austin, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Computer Vision, Build Automation, Bash Shell, C++ (Programming Language), Ubuntu (Operating System), Computer Clusters, CMake, Nvidia CUDA, Continuous Integration, Debian Linux, Linux, DevOps, Programming Tools, Github, Python (Programming Language), Linux System Administration, Machine Learning, Network Configuration and Change Management, Cloud Services, Ansible, Software Engineering, Toolchain, Datadog, Graphics Processing Unit (GPU), Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Bare Metal, Hardware Infrastructure, Terraform, Jenkins - **Published:** June 9, 2026 - **Apply:** https://www.dice.com/job-detail/b804a520-ff22-4c33-8edd-f6755c6a4277 ## About the Role * Skill at Python programming and Bash scripting * 2+ years of experience in platform engineering, DevOps, or infrastructure engineering, with hands-on experience in production Kubernetes environments. * Deep expertise in bare-metal Kubernetes administration, including CNI configuration, storage backends, node management, and cluster upgrades. * Hands-on experience with NVIDIA GPU infrastructure, including CUDA, device plugins, GPU scheduling in Kubernetes, and KubeFlow or similar ML orchestration tooling. * Strong CI/CD experience including Debian packaging, build automation, artifact management, and pipeline tooling (e.g., GitLab CI, GitHub Actions, Jenkins, or equivalent). * Proficiency with observability tooling (e.g. ELK) for log aggregation, metrics, and alerting in distributed Linux environments. * Experience building C++ and Python toolchains on Linux using CMake, with familiarity with cross-compilation for ARM targets such as NVIDIA Jetson. * Strong Linux systems knowledge (Debian/Ubuntu preferred), including networking, storage, kernel tuning, and security hardening for production environments. ## Description We are seeking an experienced Platform Engineer to design, build, and own the infrastructure powering the development of ACS's autonomous counter-drone systems. You will manage a 130+ GPU bare-metal Kubernetes cluster, own our CI/CD pipelines, and ensure our systems run reliably in both lab and field environments. What You'll Do * Deploy and operate Kubernetes clusters on bare-metal infrastructure hosting 130+ NVIDIA GPUs, with hybrid burst capability to AWS for scalable compute and storage workloads. * Manage NVIDIA GPU clusters for ML training. * Own the full CI/CD pipeline from source to deployment, including artifact signing, build automation, and version pinning, ensuring repeatable delivery to cloud and edge targets. * Build and maintain the observability stack, including log aggregation, metrics collection, alerting, and dashboards providing real-time visibility into cluster health and system performance. Collaborate with computer vision, robotics, and software engineering teams to build low-friction developer tooling that accelerates iteration on the ACS turret platform. * Define and enforce infrastructure-as-code practices using Terraform, Helm, or Ansible across on-prem and cloud deployments. * Manage network configuration, storage provisioning, and security hardening for the bare-metal cluster in compliance with applicable defense security requirements. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Code to Road in < 12 hours](https://www.wearedevelopers.com/videos/1082-code-to-road-in-12-hours) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [From Factory Floor to Kubernetes Core: Building an Edge Platform One Step at a Time](https://www.wearedevelopers.com/videos/1415-from-factory-floor-to-kubernetes-core-building-an-edge-platform-one-step-at-a-time) - [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) - [One Platform Could Not Fit Them All](https://www.wearedevelopers.com/videos/1919-one-platform-could-not-fit-them-all) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-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) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)