Are you passionate about delivering quality services and ready to apply your experience at massive scale? Amazon S3 is the storage for the internet, and Amazon S3 Tables is the first cloud object store with built-in Apache Iceberg support, purpose-built for storing and querying tabular data at massive scale. It is fully managed, continuously optimizing, and delivers up to 10x higher transactions per second than Iceberg tables on general purpose S3 buckets, all within the same foundation that gives S3 eleven nines of durability.
We are on the lookout for the curious, those who think big and want to define the world of tomorrow. Customers are bringing their most demanding analytics workloads to S3 Tables, from streaming ingestion of IoT and application telemetry to multi-petabyte lakehouses powering multiple AWS and partner query engines, and a growing wave of AI agents that query data directly through the Model Context Protocol. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon S3 Tables, you'll say it often. Join us and define tomorrow.
Our team is at the forefront of large-scale data management, actively contributing to the Apache Iceberg project and helping shape the future of open table formats. We work at a scale that very few engineers in the industry ever encounter, shipping innovations that customers feel directly in query latency, cost per terabyte scanned, and ingestion throughput. As an engineer on this team, you will own the design and delivery of systems that make data ingestion patterns from any source system reliable, cost-effective, and easy to implement, while maintaining compatibility with popular analytics engines and ensuring optimal query performance through intelligent partitioning and indexing strategies. You will help define how Iceberg evolves in the cloud, partnering with the Apache Iceberg community and with engine teams across AWS and partners to make sure S3 Tables is the gravitational center of the open analytics ecosystem. S3 Tables is a new, fast moving team building within the most durable and scalable storage system ever built, the product is young, the customer base is growing quickly, and the surface area in front of you is large. If you want to help build something into what it can become, rather than maintain what already is, this is the team.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations, from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Key job responsibilities
- Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
- Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
- Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Take feature specifications and deliver working code that is maintainable and extendable.
- Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
- Design and code the right solutions starting with broadly defined problems.
- Work in an agile environment to deliver high-quality software.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
