Senior Software Engineer, Infra - Compute Platform

Responsibilities

• Own the design, build, and operation of Kubernetes cluster management tooling and automation that keeps the compute platform reliable and self-healing at scale.
• Build developer-facing tooling and workflows that improve how engineers interact with Kubernetes, with a heavy emphasis on integrating AI-driven processes and support.
• Deliver net-new compute capabilities for service owners, such as one-off jobs, cron scheduling, deployment strategies, EFS support, and automated right-sizing.
• Drive operational excellence by automating toil, reducing on-call burden, and continuously improving platform observability and incident response.
• Partner with Security, Reliability, and Observability teams to ensure the compute platform meets standards for security, uptime, and performance.

Requirements

• 5+ years of software engineering experience, including 3+ years building and operating Kubernetes or similar compute orchestration systems (e.g., Mesos, Nomad, ECS).
• Hands-on experience with AWS and/or GCP infrastructure services (e.g., EC2, EKS, IAM, VPC, networking) in a production environment at scale.
• Demonstrated ability to design, implement, and operate distributed infrastructure systems, including diagnosing complex failures and driving them to root-cause resolution.
• Hands-on experience with the CNCF ecosystem (e.g., Helm, Prometheus, ArgoCD, Envoy) and a track record of applying these tools to solve real infrastructure problems.
• Proven ability to apply AI tooling to infrastructure workflows, improving automation, developer productivity, or operational efficiency.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.