By applying to this position, your application will be considered for all locations we hire for in the United States.

Amazon Redshift is the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift.

Our team consists of industry leading innovators, with multitudes of patents and research publications in this space. We are a fun-loving team that is passionate about ideating, designing and delivering query processing and overall database architecture towards extreme performance. We are distributed across many locations in US, Germany, and are expanding in other geographies.


Key job responsibilities
• Design and implement state-of-the-art distributed data processing algorithms for the parallel execution query engine.
• Identify opportunities for performance improvement by in-depth analysis of the query plan and query execution states.
• Deploy and monitor new features in a highly available and fault tolerant system running in the cloud.


A day in the life
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years.


About the team
Query Processing team is at the heart of Redshift data plane and is responsible for query analysis, query optimization and massively parallel execution engine. Query Processing team is focused on maintaining Amazon Redshift’s lead on price-performance.

Query Processing team delivers extreme performance by uniquely combining novel techniques for distributed query planning, code generation, query compilation, query scheduling, resource-planning, and superscalar query execution with optimized data encodings accessed with high performance SIMD kernels, and hardware conscious algorithms. We also work closely with AWS platform teams in shaping requirements for next generation platforms to run database/analytics applications.

We are open to hiring candidates to work out of one of the following locations:

East Palo Alto, CA, USA