Senior Staff Site Reliability Engineer (Lead)
- Mountain View, United States
- Lead/Staff
- 15+ years
- Master's degree
- Posted
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.
