The role involves building and evolving telemetry and monitoring systems to provide visibility into infrastructure performance and costs. The engineer will design cost attribution frameworks for multi-tenant infrastructure and identify performance bottlenecks within distributed systems. Responsibilities include partnering with cloud providers to optimize cluster configurations and workload placement across large-scale environments. The position requires driving architectural improvements and code-level optimizations to enhance system utilization. Additionally, the role involves collaborating with research and product teams to balance infrastructure needs with cost efficiency.

Candidates must have at least 6 years of relevant industry experience, including 1 year in a leadership capacity. Proficiency in at least one programming language such as Python, Rust, Go, or Java is required, along with hands-on experience in cloud infrastructure and Kubernetes. The role necessitates deep expertise in distributed systems and performance optimization. A minimum of a bachelor's degree or an equivalent combination of education, training, and experience is required.