Staff DevOps Engineer
- Build and operate hybrid infrastructure. Design, provision, and maintain on-prem server infrastructure and cloud environments (primarily Google Cloud), ensuring high availability, performance, and cost efficiency across both.
- Scale CI/CD and platform services. Own the infrastructure underpinning CI/CD pipelines, ML workflows, and simulation environments - building for reliability and growth, not just today's load.
- Own reliability for your systems. Contribute to SLO definitions, participate in on-call rotations, lead post-mortem reviews, and drive systemic improvements that reduce recurrence across on-prem and cloud systems.
- Champion Infrastructure as Code. Implement and maintain IaC standards (Terraform, Ansible, Packer) to ensure consistent, reproducible provisioning across all environments - physical and virtual.
- Harden infrastructure security. Collaborate with product security engineers to implement secrets management, RBAC, network segmentation, patch processes, and secure-by-default configurations across the full infrastructure stack.
- Collaborate across teams. Partner with software and robotics engineers to translate infrastructure requirements into durable solutions that unblock core engineering work.
- 5+ years of experience in DevOps or infrastructure engineering, with demonstrated contributions of both on-prem and cloud environments in production.
- Hands-on experience provisioning and managing bare-metal server infrastructure (e.g., metal-kubed, MAAS, Digital Rebar, or similar) at scale.
- Strong experience with Kubernetes - both cloud-managed (GKE, EKS) and self-hosted - in production environments.
- Deep working knowledge of Google Cloud Platform or AWS, including compute, networking, storage, Kubernetes, and cost management.
- Proficiency with Infrastructure as Code tools (Terraform, Ansible, Packer) applied across heterogeneous environments.
- Experience with observability platforms - building dashboards, defining alerts, and driving incident response across distributed infrastructure.
- Demonstrated knowledge of security fundamentals: secrets management, RBAC, service account governance, and network security practices.
- Solid experience with CI/CD systems (e.g., BuildKite, GitLab CI) and build artifact management (e.g., Artifactory, Nexus).
- Ability to work effectively in cross-functional teams and communicate infrastructure concepts clearly to non-infrastructure stakeholders.
- Proficiency in one or more scripting or systems languages: Python, Go, Bash, Rust, or C++.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Domain Expertise. Direct experience with robotics-specific infrastructure challenges, such as high-throughput telemetry ingestion, large-scale simulation pipelines, or managing hardware-in-the-loop (HIL) testing environments.
- Infrastructure Modernization. Proven track record of modernizing legacy components or migrating services across hybrid cloud/on-prem environments while maintaining high uptime for critical engineering workflows.
- Systems Observability. Deep proficiency in observability for distributed systems, specifically diagnosing and resolving performance bottlenecks that span both hybrid cloud and physical network layers.
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