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Senior Staff Site Reliability Engineer (Lead)

Waymo

Skills

Required

  • infrastructure
  • distributed systems
  • cloud infrastructure
  • production operations
  • data-driven
  • automation
  • modern DevOps/SRE tooling
  • C++

Preferred

  • observability
  • incident management
  • capacity planning
  • Join our team as a Site Reliability Engineer Lead, where you will be responsible for driving the reliability of our critical release pipelines.
  • This role requires a strong background in distributed systems, cloud infrastructure, and production operations at scale.

Experience organizing and running oncall rotations

If you are a hands-on SRE lead, with strong software engineering skills, who is passionate about solving first-of-their-kind problems with significant real-world impact, we'd like to meet you

Responsibilities

  • You will lead the strategy and execution for observability, incident management, capacity planning, and continuous improvement of our production systems.
  • Lead the strategy and execution for observability, incident management, capacity planning, and continuous improvement of production systems.
  • Drive incident response processes, retrospectives, and continuous improvement to prevent recurring issues, and participate in on-call rotations for release-oriented outages.
  • Champion a culture of reliability engineering across the organization, partnering with organization leads to educate and improve large-scale software engineering best practices.

Requirements

Excellent influence without authority skills

  • Track record of improving system reliability through data-driven approaches and systematic problem-solving
  • Master's degree or PhD in Computer Science, Engineering, or a related technical field
  • Proficiency with automation, infrastructure and modern DevOps/SRE tooling
  • Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team
  • Strong background in distributed systems, cloud infrastructure, and production operations at scale
  • Deep expertise in architecting large scale distributred systems, observability tools, monitoring systems, and incident management practices

Experience leading hybrid hardware/software production systems

  • Track record of bringing about change in 1000+ person engineering organizations
  • Experience leading teams who work on modern deep ML / large scale models
  • 15+ years of experience working on large-scale production software systems, especially machine learned systems
  • 15+ years on hands on coding experience with C++

Pay

USD 298,000 - 368,000

Benefits

  • You will work in a hybrid work model and have access to a wide range of benefits, including medical, dental, and vision insurance, competitive compensation, and generous paid time off.