Description AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR team in Amazon Web Services! Amazon EMR is a web service which enables customers to run massive clusters with open-source data processing frameworks like Apache Hadoop, Flink, Spark, Trino, Hive, HBase and more, with the ability to effortlessly scale up and down as needed. We run large number of customer clusters, enabling a variety of customer use cases including analytics and web-scale machine learning. We are doing innovative work on the open source data processing frameworks with the goal of making the EMR the best place to run big data workloads. We’re looking for top engineers to design and build features and accelerate the performance. You will work backwards from the customer needs and you will get to do everything from designing and building large scale systems and cutting-edge features for the savviest customers in the business. You will have a chance to work with the open source community and contribute significant portions of software to open source projects like Hadoop, Flink and Spark etc. You need to be a top software developer with excellent programming skills, an understanding of distributed systems and parallel data processing, and a stellar record of delivery but also excel at leadership and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest challenges in distributed systems to build solutions for large scale problems in a wide variety of domains, come join our group. Key job responsibilities Your responsibilities will include: - Designing and building the next-generation technologies that will make EMR the best environment to run large-scale data processing workloads. - Translation of complex functional and technical requirements into detailed architecture and design. - Work on internals of large-scale, highly parallel and fault-tolerant data processing engines like Hadoop, YARN and Flink. - Solve challenging problems in query optimization, vectorized execution engine, resource management, transactions, security, governance, data access control, indexes, encoding, etc. - Contribute back to the community by open sourcing some of the developed features. - Work with customers to understand their needs and incorporate them as features into our product. - Own the software development process end-to-end, i.e working with engineers and product managers to develop requirements; designing, architecting, planning, implementing, and testing new systems and features; deploying, and operating the production EMR systems. About the team Diverse Experiences 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 (gender diversity) 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. Basic Qualifications - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of non-internship professional software development 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 - Experience in distributed systems design, implementation and testing - Experience in database internals such as query optimization or query execution - Hands-on experience in big data processing and infrastructure frameworks like Hadoop, Hive, Spark, Trino, Tez, HBase, Docker, Kubernetes is a big plus