Ever wonder what happens when S3 processes a PUT request, when DynamoDB commits a write with single-digit millisecond latency, or when Kinesis Data Streams ingests a new record? Behind the scenes, a distributed log service is making it all possible, and you"d be building it.
The Transactional Services organization builds foundational distributed systems that power the largest AWS services. We specialize in high-performance, strongly consistent data systems that operate at massive scale. Our systems process over 4 million writes per second today and are growing fast. When we ship, the blast radius is AWS itself. Getting it right matters. Our customers depend on every write being durable and every read being consistent.
We have a multi-year roadmap packed with hard, unsolved problems: pushing tail latencies lower than today"s already tight targets, continuously driving down the cost structure of the platform, partnering with customers to deliver new capabilities, and pushing the boundaries of durability, availability, and performance in distributed log systems. These are not small improvements. This is the work that shapes the foundation of AWS storage infrastructure.
As an SDE-II, you"ll own systems end-to-end: from requirements and design through implementation, deployment, and production support. You"ll dig deep into systems internals, reasoning about memory layouts, cache behavior, lock-free data structures, and network protocol design. The service is built primarily in Java with Rust used for the most performance-critical components, high-consistency disk and networking IO where every microsecond counts. You"ll troubleshoot complex production issues spanning multiple distributed components where the root cause is rarely obvious. You"ll work alongside multiple Senior and Principal Engineers on a tight-knit team that values pairing, co-ownership, and direct collaboration. You"ll also mentor junior engineers and help raise the team"s technical bar through design reviews and engineering best practices.
This role demands strong computer science fundamentals. You should be comfortable reasoning about algorithmic complexity, concurrency primitives, and the trade-offs inherent in distributed systems. If you have a sharp eye for detail, a passion for getting to the root cause, and want to go deep on distributed systems and database internals, not just use them, but build the ones that AWS depends on, this is the role.
Key job responsibilities
About the team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
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