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 overheadwhile remaining compatible with PostgreSQL applications and tooling.
We are seeking PostgreSQL internals experts to advance Aurora DSQLs 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 DSQLs hybrid execution model. The ideal candidate understands PostgreSQL internalsfrom parser to executorand 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 DSQLs 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 DSQLs 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 ensure fidelity with PostgreSQL behavior under distributed execution.
- Contribute to the long-term architecture enabling Aurora DSQL to support next-generation PostgreSQL features at virtually unlimited scale.
A day in the life
Youll deep-dive into PostgreSQL internalsreasoning through planner/executor nodes commit protocols and system catalogswhile designing new abstractions that preserve correctness in distributed execution.
Youll profile query behavior validate transaction semantics across regions and partner with engineers across compute storage and transaction subsystems to ensure every PostgreSQL feature just works on Aurora DSQL.
Youll participate in design reviews mentor engineers and drive the compatibility roadmap for Aurora DSQLs PostgreSQL layer.
About the team
We are the Aurora DSQL Query Processing team; this team is the execution engine behind every SQL executed statement in Aurora DSQL. We are responsible for bridging one of the worlds most advanced open-source databases with AWSs distributed serverless architecture.
Our engineers come from database internals backgrounds and large-scale distributed systems teams. We value curiosity precision and craftsmanshipand we work in an environment where deep systems problems meet high-scale real-world impact.
We are committed to mentorship technical excellence and shared ownership. Youll work alongside engineers who have contributed to PostgreSQLs planner executor and MVCC subsystemsand help define how Aurora DSQL evolves to support PostgreSQL workloads natively in the cloud.
- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team
- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.