Senior Infrastructure Reliability Engineer

Senior Infrastructure Reliability Engineer

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Infrastructure Reliability Engineering (IRE) is a small but growing team responsible for the infrastructure and operations behind the core developer tools and on-prem compute platforms used across the entire engineering organization. We own the services every engineer depends on daily — source control, CI/CD, and artifact management — as well as the on-prem infrastructure behind simulation and GPU workloads. As the company’s on-prem footprint grows, this team is expanding its scope to provide SRE capabilities for on-prem systems, so there’s an opportunity to help shape that practice from the ground up.

You’ll own the full lifecycle — patching, upgrades, backups, scaling, and incident response — for services that engineering depends on daily. The role blends Dev Ops, SRE, and software engineering, and is ideal for engineers who want high ownership and company-wide impact. You should have a mindset of continuous improvement: if something is manual and repetitive, your instinct should be to automate it away.

• Serve as a primary owner for critical services, including on-call and knowledge-sharing across the team
• Own the lifecycle of core self-hosted developer tools (e.g., RunAI, Git Hub Enterprise Server, CircleCI, JFrog Artifactory/Xray)
• Design and implement automated systems for patching, backups (with validation), and upgrades
• Scale infrastructure to support a fast-growing engineering org
• Use Infrastructure-as-Code (Terraform) to manage environments
• Operate and troubleshoot systems using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)
• Define and maintain SLOs for service availability, reliability, and performance
• Build and maintain monitoring, alerting, and observability for developer tool services
• Lead and participate in incident response and root cause analysis
• Work cross-functionally with platform, security, infrastructure (on-prem and cloud), and software teams

• Experience operating infrastructure outside of managed cloud services — bare-metal kubernetes and on-prem virtualization (VMware ESXi/vSphere)
• Experience operating production systems using Docker and Kubernetes
• Strong foundational knowledge of Linux (RHEL , Ubuntu)
• Proficiency with at least one cloud platform (AWS, GCP, or Azure)
• Experience managing infrastructure with Infrastructure-as-Code tools (e.g., Terraform/Open Tofu)
• Experience with configuration management tooling (e.g., Ansible, Puppet, Chef)
• Strong problem-solving skills with a focus on automation
• Scripting or software development experience (e.g., Python, Go, Bash)
• Familiarity with CI/CD pipelines and developer tooling
• Ability to own systems end-to-end, from design to incident resolution
• Eligible to obtain and maintain an active U.S. Secret security clearance

• Experience with RKE2 (or other bare-metal Kubernetes distro such as k3s, kubeadm, or Open Shift) and Cilium
• Prior experience with Git Hub Enterprise Server, JFrog Artifactory/Xray, or CircleCI
• Experience with Git Ops workflows and tooling (e.g., ArgoCD/FluxCD)
• Experience maintaining highly available, scalable internal tools
• Exposure to security best practices, compliance requirements, or auditing
• Experience supporting large, rapidly scaling engineering organizations
• Experience with monitoring and observability platforms (e.g., Datadog, Prometheus, Grafana)
• Background in SRE or hybrid SWE/Dev Ops…