Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
This is a high-visibility leadership role as a key part of Google's infrastructure. As the Engineering Manager for Hypertext Transfer Protocol (HTTP) serving infrastructure, you will shape the "front door" through which a significant portion of Google's data flows. You will manage the unique issues of modernizing a mission-critical service while it handles live, massive-scale traffic.
In this role is ideal for a leader who grow on distributed systems complexity, is excited to pioneer Artificial Intelligence-driven developer productivity workflows within their team, enjoys building and scaling high-performing teams, and wants to leave a lasting impact on the foundational architecture of Google Cloud.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Hire, mentor, and grow a team of high-performing engineers. You will cultivate a culture of technical excellence, operational and psychological safety, guiding career development for both executive and junior engineers.
- Define and drive the multi-year roadmap for the HTTP serving infrastructure's architectural evolution.
- Lead the team to deliver high-quality software on time. You will manage complex project lifecycles, from design and coding to global deployment and on-call health, ensuring the HTTP serving stack maintains its "tier-0" availability.
- Partner closely with multiple GCS teams, GCS Customers, and key internal customers to align roadmaps, gather requirements, and ensure this infrastructure meets the needs of its user base.
- Drive AI-assisted engineering practices across the team. Actively coach and empower engineers to leverage Generative AI tools to accelerate development, testing and operational support.
Qualifications
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience with network protocols (HTTP/gRPC), data transfer, or storage systems.
- Experience or strong interest in leveraging generative AI technologies and developer tools to optimize team velocity, code quality, and engineering efficiency.
- Demonstrated experience leading large distributed technical architecture problems.
- Demonstrated experience in building, testing and supporting managed services on the Cloud.