The role involves owning the technical strategy and roadmap for agent-driven cluster lifecycle management, including provisioning, updates, and decommissioning. The individual will define and drive strategies regarding cluster scalability, homogeneity, and fault tolerance while collaborating with internal research, inference, and product teams. Responsibilities include partnering with cross-functional teams to ensure compute capacity is ingested on time and aligning on physical build-outs. The position requires establishing operational excellence practices such as incident response and postmortem culture. Additionally, the role involves supporting the growth of engineers through technical mentorship and coaching.

Candidates must possess deep expertise in distributed systems, reliability, and cloud platforms, along with strong proficiency in at least one systems language such as Rust, Go, or Python. A proven track record of leading complex, multi-quarter technical initiatives and the ability to build alignment across senior stakeholders are required. The role necessitates a minimum of a bachelor's degree or an equivalent combination of education, training, and experience. Preferred candidates have eight or more years of software engineering experience, including experience operating large-scale compute infrastructure at hyperscale.