AI Infrastructure Tech Lead — TPU & Kubernetes

Google; Kirkland (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Job summary

Google's software engineers are building the next-generation AI hardware platform and on-premises AI supercomputer. You will define the technical roadmap for inventory and fleet management, emphasizing Temporal orchestration, automated node re-bootstrapping, and self-service remediation.

The role requires deep experience with large-scale distributed systems, Kubernetes and cross-functional collaboration, offering significant impact within Google's cutting-edge infrastructure initiatives.

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.

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.

Skills

8+ years software development

5 years infra/distributed systems

5 years testing & launching software

3 years software design/architecture

Education

Bachelor's degree or equivalent practical experience

Tools

Kubernetes

ArgoCD

Container orchestration

Temporal workflows

Job description

Google's software engineers are building the next-generation AI hardware platform and on-premises AI supercomputer. You will define the technical roadmap for inventory and fleet management, emphasizing Temporal orchestration, automated node re-bootstrapping, and self-service remediation.

The role requires deep experience with large-scale distributed systems, Kubernetes and cross-functional collaboration, offering significant impact within Google's cutting-edge infrastructure initiatives.