Software Development Engineer

3+ months agoSeattle, WA


AWS has the most services and more features within those services, than any other cloud providerfrom infrastructure technologies like compute, storage, and databasesto emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.

AWS Identity enables customers to manage authentication, authorization, and governance in the AWS Cloud. These services enable customers to securely manage and audit access to their AWS accounts and infrastructure anywhere along their AWS Cloud journey. With AWS, customers can use purpose-built identity, directory, and access services to help them easily and securely migrate existing workloads to the AWS Cloud and build new cloud-native applications.

We own and develop BusinessMetrics platform to process and handle large volumes of data coming from all of Identity services to generate business metrics that can be easily consumed by services and leadership. The key goals of this platform are 1) automated data ingestion, extraction, transformation and loading of data in an intellegent way 2) scale to the needs of incoming data (multiple Petabytes) automatically 3) Resilient to failures 4) Minimum operational load.

In this role, you will:
Be building/using Bigdata solutions like EMR, Hadoop, Spark, AWS Glue, DynamoDB, S3, Redshift.
Have a significant bottom-line impact on our business by building business critical data solutions.
Identify and build key features in our platform that can help customers onboard faster.
Drive operational excellence by constantly improving our systems, monitoring, processes...
Be responsible for solving challenges surrounding efficient operations and failure mode in large complex distributed systems.

Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon's 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.

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.

Learn more about Amazon on our Day 1 Blog:


* Bachelor's Degree in Computer Science or Information Systems, or equivalent
3+ years of experience in Distributed systems or developing in cloud
2+ years of experience in Software development
1+ year of experience in Infrastructure Automation


The following qualifications are preferred:
• Experience using AWS is a plus
• Experience with agile software development practices
• Experience building Big data solutions using Hadoop, Spark, EMR etc
• Experience with very large, high-throughput distributed systems
• Ability to prioritize and perform in complex, fast-paced situations
• Experience with mission critical, 24x7 systems

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

Job ID: Amazon-1479847