As the Pipeline SRE Lead, you will play a key role in driving the reliability of our most critical release pipelines. 
You’ll lead the strategy and execution for observability, incident management, capacity planning, and continuous improvement of our production systems. You will be accountable for the response to novel, rare, or unexpected events encountered during our software release process. This includes both spearheading timely investigations and resolutions, as well as proactively partnering with engineering to evolve our software system to enhance their robustness and adaptability. 

This unique role encompasses planet scale software delivery systems which underpin our rapidly growing and evolving fleet of autonomous vehicles operating in multiple cities. The challenges of ensuring reliability at our scale and pace is unprecedented. 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.

This is a hybrid role and reports to the Head of Planner within the Onboard organization.

You will:

• Lead an SRE team spanning Waymo's Release and Pipeline infrastructure.      
• Organize and participate in oncall rotations for how to respond to driving issues in the field.    
• Harden software, develop playbooks, improve oncall metrics and post-mitigation workstreams, and improve robustness of the software system running our most critical release processes.    
• Lead the engineering analysis and response to novel, rare or unexpected events encountered during our development analysis cycle. 
• Partner with organization leads and others across the Onboard, Eval and Simulator organization to improve large-scale software engineering best practices.    
• Contribute to system software architecture to help improve its robustness and debuggability.    
• If needed: request, hire, and manage additional engineers to contribute to the above responsibilities.   

You have:

• Master's degree or PhD in Computer Science, Engineering, or a related technical field. 
• 10+ years of experience leading large-scale production software systems, especially machine learned systems.
• 5+ years of experience as an organizational leader, managing a group of people and partnering with other organizational leaders.
• Experience organizing and running oncall rotations.
• Excellent influence without authority skills.
• Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team.

We prefer:

• Experience leading hybrid hardware/software production systems.
• Experience leading teams who work on modern deep ML / large scale models.
• Track record of bringing about change in 1000+ person engineering organizations.

#LI-hybrid