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:
- Experience in building and maintaining data platform.
- Experience with databases and performance troubleshooting.
- Knowledge of observability products (e.g. Datadog, Prometheus, ELK, OTel etc.).
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 empower users to detect, understand, and optimize their databases through an easy, AI-powered experience. You will use AI/ML to provide “zero-admin” database management for enterprise users and developers. You will also deliver AI-assisted journeys for developer and database admin personas, including intelligent agents to monitor and troubleshoot the performance, health, and security of all Google Cloud Platform databases. Additionally, you will help users manage their apps through Cloud assist integrations. You will enable users to deploy and troubleshoot applications with one-click integrations that simplify the complexities of database and service layers.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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
- Design and deliver innovative products in the Database Intelligence Platform team to all Google Cloud Platform (GCP) wide Databases (DB’s).
- Provide thought leadership and collaborate with product and engineering teams to ensure high-quality and delivery of data platform, AI agents, MCP servers related initiatives.
- Work closely with the team, engage in design and code reviews to ensure best practices and foster a culture of continuous improvement.
- Collaborate with leads across all DB teams in GCP (i.e. Cloud SQL, AlloyDB, Bigtable, FireStore, MemoryStore, Spanner) and ensure alignment on technical direction.
