Applied Scientist II: DynamoDB Capacity & Data Placement

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Development Center U.S., Inc. in Seattle seeks an Applied Scientist to advance capacity utilization and data placement across the DynamoDB fleet.

You will build models and algorithms that inform capacity profile decisions and placement policy, partnering with DynamoDB teams to productionize solutions. You will identify capacity usage optimization opportunities, quantify customer and cost impact, and translate findings into scalable production components.

Qualifications

• 3+ years of building models for business application experience.
• 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance 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 incorporate inputs into capacity profile decisions and placement policy.
• Build components that integrate directly into production systems or support large systems making placement and capacity decisions.

Skills

Building models for business apps

Large-scale data analysis

Capacity planning

Education

PhD or Master’s with 4+ years CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon Development Center U.S., Inc. in Seattle seeks an Applied Scientist to advance capacity utilization and data placement across the DynamoDB fleet.

You will build models and algorithms that inform capacity profile decisions and placement policy, partnering with DynamoDB teams to productionize solutions. You will identify capacity usage optimization opportunities, quantify customer and cost impact, and translate findings into scalable production components.