Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C .
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- Experience with production systems and storage systems.
- Experience with distributed processing.
Preferred qualifications:- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience working with streaming products in FlumeC .
- Experience with large-scale data processing.
- Experience with Bigtable, Colossus, Spanner, or Pubsub.
About the jobWe are looking for a Tech Lead Manager to help design and build this next-generation data processing infrastructure. In this role, you will leverage and extend Google's advanced back-end technologies to build highly scalable, cost-effective systems that unlock new capabilities for millions of users.
The US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities - Act as a Tech Lead Manager (TLM) for a sub-team of approximately 6 software engineers, managing project priorities, deadlines, and deliverables.
- Shape the long-term technical goal and architectural strategy for our core data processing stack, with the flexibility to drive both infrastructure and product-focused initiatives.
- Partner closely with cross-functional teams-including Product Management, Program Management, and Privacy working groups-to translate complex requirements into scalable engineering solutions.
- Design, develop, and evolve our high-scale, foundational data processing infrastructure to support next-generation features.
