Want to quickly write a lot of new high-performance, algorithmic code in Rust and iterate quickly? Want to own and operate an AWS service in the AI/ML and data storage space, while maintaining the availability, data durability, performance, and security that AWS S3 customers expect?

In this role you will work closely with engineers and scientists to implement, invent, and optimize a service at AWS S3. You will also be responsible for defining and maintaining a high operational bar for the service. We hold high standards for our computer systems and the services we deliver to our customers: our systems are secure, highly reliable, highly available, all while functioning at massive scale.

This is a code-forward role with potential for Principal Engineer-level impact. The ideal candidate will be able to write elegant and maintainable code that consumes less resources than most people think possible, and be able to profile, optimize, and debug a large distributed service. There’s an element of algorithmic experimentation and discovery, as well as an opportunity to build operational excellence, and hear directly from our customers.


Mentorship
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 organizations 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.


Work life balance
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 life—both in and outside of work.


Inclusion
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.