Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience in software development using C or Go.
- 3 years of experience designing and developing infrastructure or distributed systems.
- 1 year of experience leveraging AI tools or frameworks to accelerate development and engineering productivity.
- Experience designing and developing relational databases, database internals, information retrieval, query planning and execution.
Preferred qualifications:- Master's degree or PhD in Computer Science or a related technical field.
- 3 years of experience in a technical leadership role.
- Experience designing/building Agentic-AI systems and applications, with an understanding of core-systems and application-architecture.
About the jobAlloyDB is a fully-managed, PostgreSQL-compatible database for demanding transactional workloads. AlloyDB provides high performance, industry-leading SLAs, and no downtime for maintenance.
We are pioneering GenAI and LLM solutions, seamlessly integrated with AlloyDB to unlock the full potential of AlloyDB for cloud customers and internal engineering teams.
We push the boundaries of how Vector Search DBs are being used by our customers, with AI query engine we introduce a whole new way of leveraging these databases and developing a next-generation benchmarking platform to ensure AlloyDB's vector operations perform at their absolute peak.
US: $174000 - $252000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
