Sr Software Development Engineer – Big Data, AWS MapReduce (EMR), Amazon EMR Studio

Job summary
Interested in empowering the world to easily build stories from data?

Amazon EMR Studio team is building a fully managed self service data science and analytics platform, that makes it easy for data scientists and engineers to develop, visualize, and debug data intensive applications.

Amazon EMR is a web service which enables customers to run massive clusters with distributed big data frameworks like Apache Hadoop, Hive, Tez, Flink, Spark, Trino, Presto, HBase and more, with the ability to effortlessly scale up and down as needed.

We are looking for a Sr. Software Development Engineer who excels at working in an agile environment, and is excited about our mission to democratize data intensive processing. You will work in a diverse team to build and evolve the next-generation of data, analytics and ML services. As a Sr Software Development Engineer, you will design, implement, test, operate, and evolve the backend and frontend components for this new product. Your work will enable customers to build and run end-to-end data preparation and exploration services.

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 back to open source projects. 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

• Work closely with senior and principal engineers to translate complex functional and technical requirements into detailed software architecture.
• Develop highly scalable backend services that powers our fast-growing data science and analytics platform.
• Collaborate with product managers, UX designers to develop friendly and intuitive front end experiences.
• Work on Amazon EMR runtime distributions including but not limited to open source softwares like JupyterLab, Jupyter Enterprise Gateway, Livy, etc and big data frameworks like Apache Spark, Presto, Hive, Trino, etc.
• Deliver features with top-notch quality, on time.
• Be responsible for overall system scalability, reliability, and performance.
• Mentor junior engineers, define our technical culture, and help build a fast-growing team.

A day in the life
In joining our team, you will get to collaborate with some of the best and brightest software engineers, product managers and data scientists in the industry. You'll enjoy a competitive salary, great benefits, a creative and agile work environment, and the exciting opportunity to be part of a fast-paced and growing team and one of the most innovative technology companies - but most of all, you will get the satisfaction of making products that millions use everyday to great effect!

About the team

• Amazon EMR Studio: https://aws.amazon.com/emr/features/studio/
• AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/
• AWS EMR: https://aws.amazon.com/emr/

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.

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 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.

Basic Qualifications

• 4+ years of professional software development experience
• 3+ years of programming experience with at least one software programming language
• 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
• Experience as a mentor, tech lead OR leading an engineering team

Preferred Qualifications

• 6+ years of professional software development experience with at least one modern language such as Java, C++, or C# including object-oriented design.
• Background in building developer tools/experiences.
• Experience with JupyterLab, Jupyter Enterprise Gateway, Zeppelin Notebooks
• Experience designing and building highly-scaled distributed systems and web services
• Thorough understanding of parallel algorithms, concurrency, multi-threading and asynchronous architectures
• Experience working in an agile software development organization
• Experience building with SOA using Java on Linux
• Knowledge of and contribution to Hadoop ecosystem
• Experience with one or more of Ruby, Python, Java, Go
• Proven ability to effectively drive cross-team solutions that may have complex dependencies
• Masters/PhD in Computer Science with emphasis on distributed systems and Big Data architectures is a plus.

The base pay range for this position is $184K - 250K/yr. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.



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.