Site Reliability Engineering (Technical Lead Manager)

• As the Pipeline SRE Tech Lead Manager, 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
• This is a hybrid role and reports to the Head of Site Reliability Engineering
• 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

Benefits

• Medical, dental, and vision insurance for employees and dependents
• Employee assistance programs focused on mental health
• Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
• Access to mental health apps
• Onsite wellness centers
• Counseling services
• Medical advocacy program for transgender employees
• Support programs including menopause benefit
• Second medical opinion for you and your loved ones
• Competitive compensation
• Regular bonus and equity performance grant opportunities
• Generous 401(k) and regional retirement plans
• Annual cross-company compensation review and pay equity analysis
• 1-on-1 financial coaching
• Fertility and growing family assistance
• Parental leave and baby bonding leave
• Survivor income benefit
• Backup childcare
• Elder care and support
• Caregiver leave
• Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
• Jury duty leave
• Military leave
• Hybrid work model with remote work opportunities also available
• Educational reimbursement
• Peer learning and coaching platform
• Donation matching programs
• Employee resource groups
• Volunteer hours
• Internal community groups and local culture clubs
• Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
• On-site meals and snacks
• Fitness centers, massage programs, and ergonomic support
• On-demand fitness, wellbeing, and cooking classes
• Commuter benefits- 5+ years of experience Managing managers
• Experience organizing and running oncall rotations
• Excellent influence without authority skills
• 15+ years of experience leading large-scale production software systems, especially machine learned systems
• 10+ years of experience as an organizational leader, managing a group of people and partnering with other organizational leaders
• Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team
• Master’s degree or PhD in Computer Science, Engineering, or a related technical field
• Track record of bringing about change in 1000+ person engineering organizations
• 10+ years of experience leading hybrid hardware/software production systems
• 10+ years of experience leading teams who work on modern deep ML / large scale models