Senior Software Engineer – Distributed PostgreSQL Engine, Aurora DSQL, Aurora Distributed SQL Query Processing

Benefits

Parental leave

Not verified not verified - source not recorded; timestamp not recorded

Non-birth-parent leave

Not verified not verified - source not recorded; timestamp not recorded

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer – Distributed PostgreSQL Engine, Aurora DSQL, Aurora Distributed SQL Query Processing East Palo Alto, California, USA Amazon Aurora DSQL is a serverless, distributed SQL database that combines the performance and scalability of cloud-native architecture with the familiarity and ecosystem of PostgreSQL. Aurora DSQL automatically scales compute and storage, delivers high availability across regions, and eliminates operational overhead-while remaining compatible with PostgreSQL applications and tooling. We are seeking PostgreSQL internals experts to advance Aurora DSQL's query processing capabilities. This is a deep systems engineering role focused on ensuring semantic, functional, and behavioral parity with PostgreSQL while extending its architecture to run efficiently in a distributed, elastic environment. As part of the core database engine team, you will work across the PostgreSQL planner, executor, and other subsystems to evolve Aurora DSQL's hybrid execution model. The ideal candidate understands PostgreSQL internals-from parser to executor-and thrives on solving hard problems at the intersection of distributed systems, concurrency control, and database correctness. Key job responsibilities - Analyze, adapt, and extend PostgreSQL internals (parser, planner, executor, catalog, and transaction manager) to operate correctly and efficiently in Aurora DSQL's distributed runtime. - Build mechanisms that maintain PostgreSQL semantics (MVCC, snapshot isolation, error codes, data types, and function behavior) in a horizontally scalable environment. - Develop compatibility test frameworks to validate DSQL's correctness against upstream PostgreSQL. - Collaborate with query processing, storage, and transaction teams to integrate distributed primitives into PostgreSQL-compatible interfaces. - Debug complex behaviors in areas like visibility, locks, and plan caching to

Read the full description at www.amazon.jobs. FewerJobs shows a source-linked preview and links to the original posting.