Software Engineer III, Database Internals, AlloyDB

Responsibilities

• Design and implement high-performance C++ components for the AlloyDB kernel, focusing on critical areas such as storage engines, indexing, buffer management, and transaction logging.
• Build and harden distributed consensus and replication mechanisms to ensure data consistency, high availability, and zero data loss during failovers across large-scale deployments.
• Integrate upstream PostgreSQL features into a custom, cloud-native storage engine, ensuring full SQL compliance while maximizing the advantages of Google’s underlying hardware and infrastructure.
• Profile and optimize the core database path to reduce latency, improve concurrency, and optimize query execution plans for demanding, enterprise-scale workloads.
• Collaborate with cross-functional teams to resolve architectural challenges and performance bottlenecks across a fleet of databases.
• - Design and implement high-performance C++ components for the AlloyDB kernel, focusing on critical areas such as storage engines, indexing, buffer management, and transaction logging. - Build and harden distributed consensus and replication mechanisms to ensure data consistency, high availability, and zero data loss during failovers across large-scale deployments. - Integrate upstream PostgreSQL features into a custom, cloud-native storage engine, ensuring full SQL compliance while maximizing the advantages of Google’s underlying hardware and infrastructure. - Profile and optimize the core database path to reduce latency, improve concurrency, and optimize query execution plans for demanding, enterprise-scale workloads. - Collaborate with cross-functional teams to resolve architectural challenges and performance bottlenecks across a fleet of databases.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 2 years of experience with software development in C or C++. - 2 years of experience designing, building, or maintaining backend infrastructure, distributed systems, or large-scale storage architecture. - Experience developing concurrent, multithreaded systems, or engineering core database internals (e.g., storage engines, transaction processing, indexing). - Experience building fault-tolerant distributed systems, data replication mechanisms, or consensus protocols (e.g., Paxos, Raft). Preferred qualifications: - Master's degree or PhD in Computer Science or related technical fields. - Experience modifying or contributing to the internals of open-source databases (e.g., PostgreSQL, MySQL) or storage engines (e.g., RocksDB, LevelDB). - Experience with query processing, cost-based query optimization, compiler theory, or vectorized execution engines. - Experience engineering lock-free data structures, latches, and advanced thread synchronization mechanisms. - Experience analyzing and tuning system performance using standard benchmarks (e.g., TPC-C, TPC-H) and low-level profiling tools (e.g., perf, eBPF).