Position Details
About this role
You will help design and build Aurora DSQL, a serverless distributed SQL database, focusing on metering infrastructure, observability, benchmarking automation, and ML-based capacity forecasting. The work spans Rust development and AWS infrastructure defined with CDK.
Key Responsibilities
- Design, implement, and deliver distributed high-performance data and transaction processing algorithms
- Build and improve observability systems (monitoring, logging, distributed tracing)
- Create automation and metrics to drive efficiency and resolve root causes of defects
- Participate in design discussions and code reviews with stakeholders
- Deploy and monitor features in highly available, fault tolerant systems
Technical Overview
The role emphasizes distributed systems engineering for a globally distributed active-active database, including observability (monitoring, logging, distributed tracing) and performance tooling (benchmarking automation). You will also contribute to metering/billing accuracy systems and ML-based capacity forecasting to optimize resource utilization across AWS regions.
Ideal Candidate
The ideal candidate is a Software Development Engineer II who has strong hands-on experience with distributed systems and high-performance transaction/data processing. They are proficient in Rust and have used AWS Cloud Development Kit (CDK) to define cloud infrastructure, with experience building or operating observability (monitoring, logging, distributed tracing) and automation for benchmarking and capacity forecasting.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have experience building distributed, high-performance data and transaction processing solutions, Must have proficiency with Rust and AWS Cloud Development Kit (CDK), Must be able to deploy and monitor features in highly available, fault tolerant systems
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