04 Apr 2022
Virginia, Arlington, 22201 Arlington USA


Vacancy expired!


Job summary
If you are passionate about high-performance, low-latency distributed architectures, love learning about complex systems, and, in general, driven by solving problems at scale, Amazon Personalize is looking for you!

Amazon Personalize is a Machine Learning (ML) service that makes it easy for developers to add personalized recommendations for users of their applications. We are one of the fastest growing AWS AI services. We are a collaborative team full of passionate engineers, who collaborate with Applied Scientists and Product Managers on ideas, to rapidly deliver production quality solutions with a broad business impact. Our entire stack is built using cutting-edge native AWS services and technologies, including AWS Glue, AWS Lambda, ElastiCache, DynamoDB, S3, CloudWatch, ECS, Apache Spark, and ML frameworks like TensorFlow and PyTorch.

Our ideal candidate thrives in ambiguity, understands the importance of team collaboration, moves fast, and has a persistent desire to improve how things are done. They will have the technical skills to design and build complex large-scale distributed systems. They prefer working on small, focused teams, have a product-first thinking, and love to pitch in anywhere to get the job done. They lead by example and influence the team with their engineering expertise and decision-making ability. They can communicate effectively (verbal, written, and listening) with a wide variety of audience and are comfortable pitching new ideas.

A day in the life
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 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.

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.


  • Programming experience with at least one software programming language.
  • 1+ years of experience in software development


A good engineer will demonstrate that they can proactively and continually improve their level of knowledge about Amazon's business and relevant technologies, and use this knowledge to deliver high quality, accurate software deliverables.
Clear, professional communication skills. Able to contribute to team discussions, knowing when to contribute, when to listen, and when to ask questions.
Experience developing in a Linux environment

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

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