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.
About the jobOur team is building the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer-the next evolution of Google's AI accelerator hardware. This is a rare opportunity to join a specialized team creating novel solutions for customers with sophisticated security and data locality requirements. You will be at the heart of building the next generation of AI hardware and the critical software that brings it to life, making a Google-scale impact on the future of AI.
We manage complex infrastructure, integrating with Kubernetes, Temporal, and custom orchestration tools to ensure our compute nodes meet rigorous health standards. We are evolving our infrastructure toward automated node repair, self-healing frameworks, and advanced fleet-wide observability to reduce manual operational overhead and build robust platform boundaries.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - 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.
