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Infotech Sourcing - Chicago, IL
posted 2 months ago
Full-time
Chicago, IL
Professional, Scientific, and Technical Services
About the position
The Distributed Systems / Database Performance Engineer role is essential for optimizing database infrastructure, enhancing data resiliency, and ensuring efficient processing of large datasets. The ideal candidate will possess a deep understanding of DynamoDB, distributed systems, and performance optimization techniques.
Responsibilities
- Implement congestion control strategies to manage high read/write workloads and prevent unhandled exceptions in hot partition scenarios.
- Develop and implement read resiliency mechanisms for distributed data stores.
- Implement event listeners at the LRU caching layer to synchronize updates with in-memory instance classes.
- Develop a chunking abstraction for handling large inbound writes exceeding DynamoDB's size limit.
- Optimize the processing of large datasets within the proprietary database query engine.
- Streamline the bootup process by optimizing database migrations.
Requirements
- Proven experience working with DynamoDB and distributed data stores.
- Strong knowledge of congestion control strategies, read resiliency, and cache synchronization.
- Expertise in handling large datasets and optimizing database performance.
- Proficiency in JavaScript, with a preference for experience in C++ or WASM.
- Experience with React Native and knowledge of front-end/backend integrations.
Nice-to-haves
- Experience in database tuning, query optimization, and performance benchmarking.
- Knowledge of LRU cache management and synchronization techniques.
- Ability to address concurrency and race condition issues in distributed environments.
