Proficiency in Python programming and Bash scripting
2+ years of experience in platform engineering or DevOps with Kubernetes expertise
Deep knowledge of bare-metal Kubernetes administration
Experience with NVIDIA GPU infrastructure and ML orchestration tooling
Strong background in CI/CD practices and tools
Proficiency in observability tooling for log aggregation and metrics
Experience building C++ and Python toolchains on Linux.
Responsibilities
Deploy and operate Kubernetes clusters with 130+ NVIDIA GPUs
Manage NVIDIA GPU clusters for machine learning training
Own and maintain the full CI/CD pipeline from source to deployment
Build and manage observability stacks for real-time system performance
Define infrastructure-as-code practices for deployments
Manage network configuration, storage, and security for Kubernetes clusters
Benefits
Health, Dental, Vision Insurance
Paid Time Off
Full Job Description
Position Overview
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.
What You'll Need
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.
