Applied Scientist II, AWS DynamoDB

Amazon; Austin (TX); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

RSUs

Sign-on payments

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon DynamoDB is seeking an Applied Scientist to advance capacity utilization and data placement across the fleet. You will build models and algorithms to inform capacity profile decisions and placement policy, partnering with DynamoDB teams to bring inputs into production decisions.

This customer-obsessed, self-driven role tackles ill-defined problems, requiring you to frame them, extend state-of-the-art methods, and drive measurable impact with a bias for action.

Qualifications

• PhD or Master’s with 4+ years in CS/CE/ML.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python.
• Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing.

Responsibilities

• Identify capacity usage optimization opportunities across the DynamoDB fleet.
• Quantify the customer and cost impact of each opportunity.
• Model the scaling bottlenecks of the service and characterize how they constrain placement and utilization.
• Develop data placement approaches that balance customer experience against capacity utilization.
• Partner with the DynamoDB performance team to validate impact with production data.
• Build components that integrate directly into production systems or support large systems making placement decisions.
• Author or co-author papers for internal or external peer‑reviewed venues when the work is novel.

Job description

Job ID: 10475895 | Amazon Development Center U.S., Inc.

Overview

Amazon DynamoDB is a fully managed NoSQL database that serves more than 1 million customers and delivers single-digit millisecond performance at any scale. It supports individual tables over 200TB and sustains over half a million requests per second for hundreds of customers, with up to 99.999% availability. Behind that scale sits a large fleet of capacity that must be placed and balanced continuously. We are looking for an Applied Scientist to advance the science of capacity utilization and data placement across the DynamoDB fleet.

You will work backwards from customer experience and fleet economics to find where capacity is used inefficiently, where scaling bottlenecks constrain the service, and where smarter data placement can raise utilization without degrading latency or availability.

You will turn these findings into models and algorithms that inform capacity profile decisions and placement policy. You will partner closely with the DynamoDB teams to bring your inputs into production decisions.

This is a customer-obsessed science role for a self-driven scientist. Many of the problems are not yet well defined and no textbook solution exists. You will frame the problem, extend state-of-the-art approaches or invent new ones, and drive the work to production impact with a strong bias for action.

Key Responsibilities

• Identify capacity usage optimization opportunities across the DynamoDB fleet. Quantify the customer and cost impact of each opportunity.
• Model the scaling bottlenecks of the service and characterize how they constrain placement and utilization.
• Develop data placement approaches that balance customer experience (latency, availability, throughput headroom) against optimal capacity utilization.
• Partner with the DynamoDB performance team to incorporate your inputs into capacity profile decisions and placement policy, and validate impact with production data.
• Build components that integrate directly into production systems or that directly support the large systems making placement and capacity decisions.
• Scrutinize the performance of your algorithms and software during implementation. Resolve root causes and leave systems easier to maintain.
• Author or co-author papers for internal or external peer‑reviewed venues when the work is novel and business considerations allow.

Basic Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.

Preferred Qualifications

• Experience using Unix/Linux.
• Experience in professional software development.

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 142,800.00 - 193,200.00 USD annually. 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 optional 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.