Principal Engineer, Storage/Performance

Amazon is hiring a Principal Engineer, Storage/Performance in Seattle, United States. It pays $200k-$271k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
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AI in this role

Amazon Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. Aurora DSQL provides active-active high availability, providing strong data consistency designed for 99.99% single-Region and 99.999% multi-Region availability. Aurora DSQL automatically manages and scales system resources, so you don't have to worry about maintenance downtime and provisioning, patching, or upgrading infrastructure.

Key job responsibilities
As a Principal Engineer on the Storage team, you will help build a high performance storage engine and storage service that is able to support all types of database workloads. You will collaborate with customers and leaders across DSQL and other database service teams to define the vision of Aurora DSQL and build a highly scalable and performant Storage system to help achieve the vision. You will be responsible for mentoring and coaching a high performing team of engineers which is a mix of generalists and storage experts. You will also work directly with customers to enable onboarding/adoption as well as with the product team to help build the roadmap.

About the team
The Storage team for Aurora DSQL owns the Storage engine and services that serve all read requests for DSQL. Alongside helping DSQL achieve its vision of virtually unlimited scale and the fastest sql database, the team also continues to build complex functionality to expand type support, including indexing capabilities. The team also builds the framework that allows pushing down query predicates to storage nodes to help improve query performance.

Basic qualifications

- BS degree or higher in CS with a minimum of 10 years of relevant industry experience
- Previous experience with Storage systems internals and distributed systems scaling
- Previous experience managing complex projects, with significant bottom-line impact
- Previous experience in technical leadership role within a large organization. Ability to work in a fast paced and agile development environment

Preferred qualifications

- Deep, hands on technical expertise in storage engines
- Deep, hands on experience building relational database engines
- Deep understanding of the Postgres query engine

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

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

How we rate this

Principal Engineer, Storage/Performance at Amazon rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.