Job Information
Amazon Software Development Engineer, Spark Performance in East Palo Alto, California
Description
Athena and EMR allow AWS customers to run large scale analytics, leveraging open source engines like Trino and Spark. We run millions of customer clusters, enabling processing on vast datasets. In the last 3 years we have improved our engines by a factor of 5x by making changes to the optimizer, query runtime, and storage connectors. We have also made significant changes to the compiler to enable enterprise features like fine-grained access control. This is a “must-win” strategic area in a growing and very technical space.
We are looking for to help us improve the engine further. We are looking to make deeper changes all around the query engine codebase.
The Spark Performance - Alternative Accelerations team is looking for a skilled engineer to help in our mission to provide the world’s fastest and easiest-to-use cloud Big Data processing platform. We develop the AWS Runtime for Spark, which is 100% API compatible with Apache Spark and is designed to run with superior performance and scalability on customer-managed EC2 clusters, EKS clusters, and in serverless environments. As an engineer in this space, you will enable Spark users across AWS services (e.g., EMR, Athena, Glue) to benefit from the AWS Runtime for Spark. You will apply and extend our automated statistical analysis tools to identify, design, and deliver optimizations further improving the AWS Runtime for Spark’s performance and its interaction with other AWS technologies, reviewing your work with a strong group of Senior and Principal Engineers. You will ensure that your optimizations can be delivered to all AWS Spark customers and allow them to benefit from them with minimal configuration - preferably none.
To learn more about Athena, EMR, and the Spark Performance team’s work:
AWS Athena: https://aws.amazon.com/athena
AWS EMR: http://aws.amazon.com/emr
AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/
EMR/EKS widens performance gap: https://aws.amazon.com/blogs/big-data/amazon-emr-on-eks-widens-the-performance-gap-run-apache-spark-workloads-5-37-times-faster-and-at-4-3-times-lower-cost/
Key job responsibilities
Hands-on development for core components of the query engine
Design and develop solutions and algorithms to improve the performance of Spark
Design and develop improvements to the AWS Runtime for Spark’s integration with other AWS services
Manage complex deliverables project and research projects with deadlines
Ensure data consistency and durability with breakthrough performance and scalability.
Interact and partner with the open source community
About the team
The team is composed of engineers that are either passionate about the engine internal space or have several years of experience (including PhD). Our managers are also extremely technical, having worked many years as developers. We manage our backlog with a research approach, where ideas are prototyped, validated with real data and then implemented. We all have families and see our work as a marathon, not a sprint, so we make sure we balance our work to avoid overpromising deliverables.
We are open to hiring candidates to work out of one of the following locations:
Palo Alto, CA, USA
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
East Palo Alto, CA, USA
Basic Qualifications
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Preferred Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.