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Job description
Description
You've spent your career solving hard problems. Here's one worth your next decade.
You'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.
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
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
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgement, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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
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
Company
Amazon.com Services LLC
Job ID: A
#J-18808-Ljbffr
Worksite address
bellevue, WA, 98009, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.