About the job
Amazon Athena is an analytics service that makes it easy to get insights from Amazon S3 based data lakes using standard SQL. Athena is serverless, so there is no infrastructure to set up or manage as the service scales automatically for any arbitrary large datasets and complex query. Creating a simple, rich and performant experience for customers requires solving challenging engineering problems.
We are working on our own container and scale out infrastructure (forecasting, scheduling, containers, admission control, infrastructure deployment) and making significant changes to our Open Source based engine to make it behave more like a traditional warehouse (updates. secondary indices, materialized views, better scripting support) while improving its performance and reliability (memory management, micro-optimizations, CBO, vectorization, etc.). We are a relatively small team and operate more like a startup which means there are a lot opportunities to make an impact and drive large initiatives.
We value highly technical, hands-on, data driven leaders who know their subject matters deeply, either in Control Plane, Infrastructure or Query Engine internals and is willing to learn new areas. A successful engineer is hardwired towards engineering excellence and understands what it takes to run a production service. We look for individuals who will set aside meaningful time to develop themselves as we continually learn from customers.
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.
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 and thorough, but kind, code reviews. 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.
- 5+ years of non-internship professional software development experience
- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- Proven track record of building complex software in high performing engineering teams
- Experience in operating distributed systems or applications at large scale
- Experience delivering performance optimization and reliability features;
- For Data Plane: query optimization, compilers, query runtime, etc is a huge plus
- For Control Plane: distributed scheduling, admission control, several 9 on a high QPS environment is a huge plus
- Any expose to working with open source software such as Presto, Spark, or Hive
- Masters or PhD in Computer Science or Engineering
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT – 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).
Company – Amazon Dev Centre (London) Ltd
Job ID: A2215181