Want to change the world with Big Data and Analytics? Come join us on the Amazon Web services (AWS) Elastic MapReduce (EMR) team as a Senior Manager of Software Engineering!
EMR is a massively scaled distributed service that gives users fast and predictable Big Data performance with clusters running Hadoop, Hive, Pig, Impala, Spark, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run millions of customer clusters, enabling processing on vast datasets.
We are developing innovative new features including the next-generation cluster management system, real-time processing for big data and intuitive ways of interacting with data, and we're looking for top engineers to build them from the ground up.
This is a hands-on position where you will be do everything from designing and building extremely stable components and cutting-edge features for the savviest customers in the business to help them get the best results.
You will have a chance to work with the open source community and contribute significant portions its software to open source projects possibly including Spark and Presto. You need to not only be a top software engineering leader, but will need to be able to dive into the code while leading software design and architecture, have an understanding of big data and parallelization, 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 want to help lead a team to solve the hardest challenges in distributed systems to build solutions for large scale problems in a wide variety of domains, come join our group.
Your responsibilities will include:
• Lead engineering teams to translate complex functional and technical requirements into detailed architecture and design
• Deliver systems and features with top-notch quality, on time
• Develop new technologies for monitoring production clusters
• Own the software development process end-to-end, including: 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.
For more information, please visit https://aws.amazon.com/emr/
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.
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 we 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 also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work.
• 5+ years' experience developing a complex software product
• 2+ years' experience in software engineering management
• Masters or PhD in Computer Science with 8 years of relevant software development and engineering management experience
• Experience with database systems kernel development or engineering large scale distributed systems is strongly preferred.
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.