Tech Lead, TPU AI Infrastructure

Job description

Define the technical roadmap and architecture for inventory and fleet management, focusing on Temporal orchestration, automated node re-bootstrapping, and self-service remediation. Own architectural and design decisions for the platform, collaborating with leadership and cross-functional teams to prioritize efforts, resolve roadblocks, and manage technical debt. Establish and maintain machine health Service Level Objectives (SLOs), driving continuous improvements in fleet-wide observability and environmental monitoring. Foster a culture of engineering excellence by establishing shared responsibility models with tenant teams and enforcing robust system-level access guardrails. Coach and mentor engineers on the team, guiding their technical development and helping them grow their impact. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Preferred Qualifications: Experience with Temporal orchestration workflows or similar workflow engines. Expertise in Kubernetes, ArgoCD, and container orchestration. Familiarity with hardware/software integration, hardware lifecycle, or bare-metal provisioning (PXE). Excellent communication skills with the ability to manage stakeholder relationships and drive cross-functional alignment.