Data Cloud Platform SRE, Engineering Manager, AI
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another.
Tech stack
Python
C++
C
JavaScript
Java
Leadership
Job description
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
- Experience in an engineering or operations role in distributed systems and large-scale environments.
- Experience in analyzing global scale distributed systems.
- Excellent problem-solving skills.
About the job
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.
In this role, you will accelerate AI adoption and enhance observability within Site Reliability Engineer (SRE) operations. You will be responsible for designing, building and maintaining the core infrastructure and tools that empower SRE teams to leverage the power of AI and gain insights into system behavior. You will develop base APIs for essential AI functionalities (similarity, clustering, RAG) across various data sources. You will develop AI features like incident-support case matcher, similarity search, bug analyzer, to improve engineering efficiency and customer satisfaction. Implementing production cohorting and regression attribution capabilities to enable deeper insights into production workloads and targeted issue detection.
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.
Responsibilities
- Deliver and manage responsibilities and take care of the team.
- Set team priorities and drive team Objectives and Key Results (OKR) execution with input from SRE leadership and cross-functional partners.
- Build and maintain relationships with cross-functional teams and stakeholders.
- Establish technical credibility and guide the team for high quality delivery.
- Design the primary oncall rotation and cultivate technical curiousity and growth mindset, and a blameless culture within the team.
Permanent
Check similar offers
Check similar offers