via Indeed · 9 September 2026 ·10 days ago

Software Development Engineer, AWS S3

Amazon.com
Cambridge Full-time
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DESCRIPTION
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Are you energized by solving complex technical problems while working directly with customers? Join our team building high\-performance data access solutions that power critical workloads across AWS. We're creating open source systems software that enables applications to achieve breakthrough throughput when accessing Amazon S3, working across multiple programming languages including Rust, and diving deep into file system architectures and container orchestration.

In this role, you'll tackle challenging problems with limited data, transforming ambiguity into elegant solutions. You'll work at the intersection of distributed systems, systems programming, and customer needs—designing software that handles massive scale while maintaining exceptional performance. Your technical depth and problem\-solving skills will directly impact how customers access and process data at scale.

Key job responsibilities

Design, develop, and maintain high\-performance client software for Amazon S3, ensuring scalability, reliability, and optimal throughput for customer workloads

Engage directly with customers and product managers to understand requirements, gather feedback, and translate business needs into technical solutions that solve real\-world data access challenges

Contribute significantly to the full software development lifecycle including code reviews, testing, deployment, and operational support, while identifying and resolving root causes of issues in distributed systems

Dive deep into complex technical domains such as Kubernetes integration, Rust systems programming, and file system implementations to debug issues and implement optimizations

Collaborate on open source projects across multiple programming languages, writing clear documentation and training team members on system architecture, operation, and maintenance

A day in the life

You might spend your morning collaborating with customers to understand their unique data access patterns and challenges, then transition to pairing with product managers to refine upcoming features. Your afternoon could involve diving deep into Kubernetes integration issues, optimizing Rust code for better performance, or debugging complex file system behaviors. Throughout the day, you'll participate in code reviews, share knowledge with teammates, and balance new feature development with operational improvements.

About the team

Our team owns high\-throughput access clients that enable customers to process massive datasets efficiently. We're focused on building performant, reliable open source systems software that pushes the boundaries of data access at scale. Our mission is to make Amazon S3 seamlessly accessible for the most demanding workloads, from machine learning training to high\-performance computing.

We value collaboration, technical curiosity, and direct customer engagement. Our culture encourages experimentation with new technologies and languages while maintaining operational excellence. You'll work with engineers who are passionate about systems programming and committed to mentoring each other as we tackle increasingly complex challenges in distributed systems and cloud storage.

BASIC QUALIFICATIONS
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  • Experience building complex software systems that have been successfully delivered to customers

  • Experience programming with at least one modern language such as Java, C\+\+, or C\# including object\-oriented design

  • Knowledge of professional software engineering \& best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
PREFERRED QUALIFICATIONS
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  • Bachelor's degree in computer science or equivalent

  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

  • Knowledge of system performance, memory management, and parallel computing principles
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy\_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how\-we\-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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