Want to change the world with Big Data and Analytics? Come join us on the Amazon Elastic Map Reduce (EMR) team in Amazon Web Services as a Software Development Engineer!
Amazon EMR is a web service which enables customers to run massive clusters with distributed big data frameworks like Apache Spark, Trino, PrestoDB, Hive, Tez, Flink, HBase, Hadoop and more, with the ability to effortlessly scale up and down as needed. We run large number of customer clusters, enabling processing on vast datasets.
We are developing innovative new features including our next-generation cluster management system, improvements for real-time processing of big data, and ways to enable customers to easily interact with their data. We're looking for software development engineers to build them from the ground up.
We are looking for a hands-on software development engineer who will be designing and building extremely stable components and cutting-edge features for the savviest customers in the business.
You will have a chance to work with the open source software community and contribute back to open source projects e.g., JupyterLab, Apache Spark, Trino, PrestoDB, Hive, HBase, and Hadoop. You will need to be a high performing software developer with an understanding of big data and parallelization. You will have a stellar record of delivery, leadership and customer obsession. If you want to truly test your mettle against the hardest challenges in distributed systems to engineer solutions for large scale problems in a wide variety of domains, come join our group.
Your responsibilities will include:
* Translation of complex functional and technical requirements into detailed software architecture and design
* Deliver software 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.
* Mentoring junior engineers, define our technical culture, and help build a fast-growing team
In joining our team, you will get to work with a minimum of technical supervision, while playing a variety of roles as needed to respond efficiently to multiple program priorities. 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!
For more information please see:
* Amazon EMR Studio:
* AWS Big Data Blog:
* AWS 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.
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.
As a senior software engineer on the team, you will own and drive the charter of the product while working closely with the product management and leadership team. You will be responsible for defining the technical architecture of the product and leading junior engineers in implementation. As a subject matter software development expert, you will act as a mentor and help your team members grow technically.
+ 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
+ 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
+ 4+ years of professional software development experience
+ 2+ years of experience as a mentor, tech lead OR leading an engineering team
+ Master's degree in Computer Science or equivalent with 3+ years of experience OR Bachelor's Degree in Computer Science or equivalent with 5+ years experience, in: software development, including design, implementation, debugging, and support
+ Very strong Computer Science fundamentals in algorithm design, data structures, problem solving, and complexity analysis
+ Strong proficiency in developing objected-oriented software, with deep experience in one or more relevant languages (Java, python,scala)
+ Experience designing and building highly-scaled distributed systems and web services
+ Thorough understanding of parallel algorithms, concurrency, asynchronous architectures
+ Experience working in an agile software development organization
+ Experience building with SOA using Java on Linux
+ Proficiency in high-performance, multi-threaded programming
+ Knowledge of and contribution to Hadoop ecosystem
+ Experience with distributed systems architecture
+ Experience with one or more of Ruby, Python, Perl
+ Proven ability to effectively drive cross-team solutions that may have complex dependencies
+ Masters in Computer Science with emphasis on distributed systems and Big Data architectures is a plus.
+ Experience with Jupyter () ecosystem
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