Senior Software Engineer, Platform Engineering - EDA Infrastructure

Responsibilities: Own the lifecycle of Kubernetes clusters including control plane, node management, and fleet upgrades Manage bare-metal provisioning, storage, and networking underpinning the clusters Build self-service capabilities for compute, secrets, certificates, DNS, access, and deployment Extend Kubernetes via controllers and operators, leveraging open-source where suitable Own CI/CD pipelines and shared platform services like policy, autoscaling, and observability Onboard new teams/sites with repeatable processes, tooling, and documentation Collaborate with EDA, infrastructure, networking, storage, and hardware teams to deliver scalable chip-design workloads Share on-call duties including incident response, root-cause analysis, and capacity planning

Key requirements: 5+ years of software or infrastructure engineering for large-scale production systems BS in Computer Science, Engineering, Physics, Mathematics, or related field (or equivalent experience) Strong programming in Go or Python with solid CS fundamentals and examples of produced services Production experience operating Kubernetes or equivalent large-scale platform with hands-on cluster ownership Experience building automation for distributed infrastructure (reconciliation loops, controllers, operators, self-healing) Understanding of performance, security, reliability, fault-tolerance, state management, and data consistency in complex systems Track record of onboarding or migrating teams onto new infrastructure with self-service tooling and documentation Strong cross-team communication and collaborative problem-solving skills Ownership mindset and ability to reduce operational toil cross-functional collaboration clear communication ownership and accountability Go Python Kubernetes