Staff Backend Software Engineer, Developer Productivity Engineering

Core Cloud & Compute Platform : Architect and operate scalable, multi-tenant Kubernetes clusters on Google Cloud Platform (GCP). Ensure efficient compute scheduling and autoscaling across mixed hardware workloads (CPUs, GPUs, and TPUs) supporting simulation and machine learning models. Design resilient networking, IAM boundaries, and secure multi-project cloud environments.

Developer Velocity & CI/CD : Design fast, hermetic, and automated build, test, and release pipelines that reduce cycle times for product engineers. Provide reliable, on-demand testing environments so teams can validate changes safely before production. Build automated deployment and rollback mechanisms with clear canary verification.

Infrastructure as Code & Security : Drive declarative, reproducible cloud infrastructure using modern Infrastructure-as-Code (such as Terraform). Implement automated policy checks, secret management, and container vulnerability scanning into standard deployment workflows.

AI Tooling & Execution Sandboxes: Design secure, isolated sandbox environments that allow automated AI tools and agents to safely run tests and inspect code. Identify high-leverage opportunities to automate repetitive developer workflows using modern AI tools.

Technical Co-Leadership & Mentorship : Partner with your fellow L6 Tech Lead to split architectural ownership, guide system designs, and run engineering design reviews. Mentor mid-level and senior engineers (L4/L5), raising the technical bar for code reviews, testing, and system design.

Reliability & Observability: Define team-wide standards for metrics, logs, and distributed tracing to ensure high visibility into production health. Partner with data and ML teams to establish SLAs/SLOs, lead disaster recovery exercises, and run blameless post-mortems.

Technical Breadth & Depth: 8+ years of production experience in Infrastructure, Site Reliability Engineering, DevOps, or Developer Productivity/Platform Engineering.

Technical Leadership: 2+ years serving as a formal Tech Lead or Staff Engineer directing the technical roadmap, architectural designs, and execution for a multi-pod or multi-team engineering surface.

Modern Cloud & Orchestration: Advanced production-grade expertise with Kubernetes (GKE), container networking, and multi-tenant cloud architectures (Google Cloud Platform preferred).

Infrastructure as Code (IaC): Deep architectural experience with modern declarative tools (Terraform, Pulumi, or similar) managing complex multi-environment cloud footprints.

CI/CD & Developer Experience Primitives: Proven track record building large-scale, automated build/test/release pipelines (e.g., Tekton, GitHub Actions, Argo Workflows, Bazel) designed around self-service internal developer platforms.

Platform-as-a-Product Mindset: Demonstrated ability to interview internal engineering stakeholders, quantify developer friction points, and deliver platforms that measurably increase overall deployment frequency and reduce MTTR.

Take charge: We take initiative and own outcomes that move the mission forward.

Transform with purpose: We build solutions that solve real problems and create meaningful impact.

Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.

Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.

Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.