What You'll Work On

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 responsibilities

As 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

BASIC QUALIFICATIONS

What We're Looking For

We're not looking for one type of engineer. We're looking for depth, judgment, and the drive to own hard problems. Across our openings, we value:

A track record of technical decisions that held up - at scale, under pressure, over time

The instinct to build first: you prototype to learn, ship to validate, and iterate without waiting for perfect conditions

The ability to influence without authority and earn trust through technical credibility

Experience working across organizational boundaries to drive outcomes that no single team could achieve alone

Comfort operating in ambiguity and a bias toward action

Curiosity about how AI is changing the way engineers build on and with databases - and the drive to be ahead of that curve, not behind it

PREFERRED QUALIFICATIONS

Deep expertise in one or more of: distributed systems, database internals, storage engines, query optimization, replication protocols, consensus algorithms, or high-performance systems

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, CA, East Palo Alto - 230,100.00 - 311,200.00 USD annually

USA, WA, BELLEVUE - 200,100.00 - 270,600.00 USD annually

USA, WA, Bellevue - 200,100.00 - 270,600.00 USD annually

USA, WA, REDMOND - 200,100.00 - 270,600.00 USD annually

USA, WA, Redmond - 200,100.00 - 270,600.00 USD annually

USA, WA, SEATTLE - 200,100.00 - 270,600.00 USD annually

USA, WA, Seattle - 200,100.00 - 270,600.00 USD annually