Description

Do you enjoy working on large-scale distributed systems? Do you want to influence how the world interacts with and analyzes large data sets across a number of industries and use cases?

Amazon EMR provides a managed framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances using popular distributed Hadoop frameworks such as Apache Spark, HBase, Presto, and Flink, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB. Our customers in a variety of industries - eg: real estate, travel, finance and gaming - use EMR to process and interact with their vast datasets to fulfill existing and uncover new business needs.

We are looking for talented engineers to help us develop innovative features for EMR to enable an interactive, secure and seamless experience for our growing customer base. One such feature is our next-generation cluster management system designed with an emphasis on speed, reliability and security. We'll trust you to design and implement critical high performance, large scale services and libraries in collaboration with other internal development teams to solve key business problems with minimal technical supervision. We'll be looking to you to evangelize SDLC best practices across the organization, help refine operational procedures and workflows, and influence architectural decisions to achieve our technical and business goals.

In this role, you will have the opportunity to collaborate with and learn from senior and principal engineers who are domain experts at AWS. You will be part of a fast-paced and growing team working on complex problems for a successful and long-running product. You will enjoy a creative and agile work environment with a focus on delivering on-time high-quality software. You will have an opportunity to learn and influence how our customers use EMR for a wide variety of use cases.

Key job responsibilities
Our ideal candidate has excellent programming skills, is an independent decision-maker with great judgement and is passionate about building distributed systems with a strong focus on customer needs. As a senior engineer on the team you will develop scaling solutions that help customers run their analytics workloads efficiently.

About the team
The EMR Managed Scaling team is responsible for developing solutions to optimize the execution of analytics workloads based on customer preferences such as speed or cost efficiency among other parameters.

About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.