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A Systems Administrator independently supports and administers Windows and Linux systems in secure enterprise environments, handling day-to-day operations, end-user support, troubleshooting, patching, and documentation at defense technology company Anduril Industries.
Administers Anduril’s customer-facing Moodle LMS and internal Cornerstone Learn platform, managing course content, user groups, ILT sessions, and integrations with Okta and Salesforce while reporting on learning data via Foundry and Tableau.
Designs, modernizes, secures, and sustains classified cloud, hybrid, and on-premises infrastructure (including DoD IL5+ environments) using Terraform, Ansible, PowerShell, Python, Windows, and Linux, while working with cybersecurity teams on authorization, hardening, and mission-critical operations.
Technical lead for Anduril's classified software team, designing and building React/Go web applications and platform services (storage gateway, access control admin interfaces, virtual desktop broker) that run in air-gapped, accredited environments. Owns the DevSecOps pipeline to Kubernetes, sets architecture and engineering standards, and leads a growing team of classified-platform engineers.
Builds and maintains test and release infrastructure for radar software, writing automated tests (Python/C++), running CI/CD pipelines, and operating hardware-in-the-loop test rigs to keep radar releases repeatable, traceable, and auditable on Linux.
Administers and optimizes Anduril's engineering systems (PLM, CAD, CAE) for product and program teams, collaborating with stakeholders to implement improvements, support upgrades, and provide user training across Windows and Linux environments.
Infrastructure Engineer at Anduril Industries owns and advances Kubernetes container orchestration strategy across GCP and bare metal deployments, managing the full cluster lifecycle with GitOps and Infrastructure as Code best practices.
The engineer builds and maintains test and release infrastructure for Anduril's radar software portfolio, writing automated tests (Python/C++), running CI/CD pipelines, and creating hardware-in-the-loop validation environments on Linux.
Defines and manages major software releases for Anduril's Air Defense family of systems, coordinating CI/CD pipelines, automated SITL/HITL testing, and deployment of production-quality software for mission-critical defense products. Uses Git, CircleCI, C++/Rust/Go, Python, and Bash within DoD SDLC and DevSecOps environments.
Builds, scales, and optimizes Anduril's machine learning platform and MLOps tooling for autonomous systems, including training, evaluating, and serving AI models (LLMs, computer vision, RL) across cloud and air-gapped edge environments. Uses Python/Go/C++, Docker/Kubernetes, and distributed training frameworks.
Leads the physical and logical stability of Anduril's large-scale GPU training infrastructure: racking/stacking H200/B200/B300 systems, tuning NVLink/InfiniBand/RoCE fabrics, integrating parallel storage, and operating Kubernetes/Run:AI for ML teams. Core technologies: GPU clusters, high-speed networking, parallel storage, and infrastructure automation.
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