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.
The Caching group in Storage for AI Foundations builds and operates systems that enable first-party developers to write faster, more-efficient applications with less effort. We have a broad view of what it means to be a cache: we are generally interested in all non-authoritative application state, whether in-memory or in persistent storage.
Our systems include Slicer, Punctual (a cache invalidation system with strong semantics), Memstore (a next-generation in-memory key-value cache), and Static Content Serving (which serves most of the static resources at Google).
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Mentor early-career software engineers (SWEs), help teams execute effectively, and facilitate relationships with cross-functional partners and customers across Google.
- Provide engineering and management leadership.
- Manage project schedules, identify execution risks, and clearly communicate them to project stakeholders.
- Work with customer teams across multiple product areas (PAs) to understand requirements for caching services and applications.
- Develop tools and processes to improve software engineering productivity of the team and organization.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
- 8 years of leadership and management experience.
- Experience with distributed processing and large-scale data processing.
- Experience with C++, Spanner, API Design, API Development, Database Design, Flume.
- Experience with caching, content delivery, and cloud computing.
Preferred qualifications:
- Master's degree or PhD in Computer Science or equivalent practical experience in a related field.
- Experience architecting, building, and maintaining large-scale, high-performance distributed systems.
- Experience building/designing: distributed systems, replicated state machines, database systems, infrastructure systems, networking, storage systems.
- Experience in distributed systems at the graduate level or above.
- Experience with large-scale systems which involve low latency fan-out and fan-in. Experience with debugging and triaging issues for large-scale production systems.
- Experience in people management, including setting technical direction, leading complex projects, and influencing executive stakeholders.