Amazon Flex Jobs

Principal Engineer, Database ServicesYou've spent your career solving hard problems. Here's one worth your next decade. The database is the heartbeat of every application ever built, and at AWS, we don't just run databases, we reinvent them. Our database products collectively serve hundreds of millions of workloads, process trillions of transactions, and store some of the most critical data on earth making us the database infrastructure of the internet. AWS Database Services is a $17B

• business and one of the fastest-growing parts of AWS, where the problems are not incremental, the scale is not theoretical, and the stakes are genuinely high. You'll work alongside some of the most accomplished database engineers in the world, with access to infrastructure, data, and customer relationships that don't exist anywhere else and the autonomy to define what "excellent" looks like, not just execute against someone else's definition of it.

We're hiring multiple Principal Engineers across this portfolio, and we're looking for builders who want to shape products used by millions of real customers.

Three forces are reshaping this landscape right now: AI-assisted development is changing how engineers build on top of databases; agentic AI is creating entirely new requirements for low-latency, high-consistency data access; and the boundary between operational and analytical data is collapsing.

You will be at the center of all three not as an observer, but as an architect and builder. We're building a bench of exceptional technical leaders and matching each person to the area where their expertise and interests will have the most impact. Whether your passion is relational engines, NoSQL at planetary scale, graph traversal, time-series workloads, or the convergence of operational and analytical data there is a home for you here.

Our portfolio spans:

Amazon Aurora & RDS The world's most widely deployed managed relational databases, serving enterprise workloads that cannot fail

Amazon DynamoDB A single-digit millisecond NoSQL engine operating at a scale most engineers will never encounter anywhere else

Amazon DocumentDB MongoDB-compatible document storage built for the cloud

Amazon Neptune Graph database powering knowledge graphs, fraud detection, and recommendation engines at scale

Amazon ElastiCache & MemoryDB In-memory data stores where microseconds matter

Amazon Timestream Purpose-built time-series for IoT, DevOps, and industrial telemetry

Amazon Keyspaces Serverless Cassandra-compatible storage at AWS scale

We are building the database infrastructure for the next generation of AI-native applications. If that's the problem you want to work on, we want to talk.

Key Job ResponsibilitiesAs a Principal Engineer, you are a technical owner not a consultant, not a reviewer.

You will:

Define architecture for services that cannot go down, cannot lose data, and must scale to meet demand that grows faster than most companies ever see

Drive technical strategy across your service area, shaping roadmap, investment decisions, and the direction of engineering teams

Solve the unsolved the distributed systems problems, the consistency models, the performance cliffs, the failure modes that don't have a textbook answer yet

Build, prototype, and ship from early-stage experiments and proof-of-concepts to production systems trusted by the world's largest enterprises

Raise the bar for the engineers around you through design reviews, mentorship, and the kind of technical judgment that only comes from having done this before

Engage directly with customers running their most critical workloads on your systems and translate what you learn into better architecture

Invent evaluate emerging technologies, prototype new approaches, and push the boundaries of what managed database services can do, including how AI reshapes the way databases are built, queried, and operated