✨ About The Role
- This role involves leading the design, development, and scaling of data storage and caching systems to petabyte scale.
- The candidate will spearhead the development of advanced retrieval-augmented generation systems.
- Responsibilities include tackling data infrastructure challenges and swiftly resolving issues to minimize downtime.
- The position requires setting standards for reliability, availability, and performance in support of mission-critical applications.
- The role is pivotal in pioneering cutting-edge data-driven capabilities at Ambient.ai.
âš¡ Requirements
- The ideal candidate will have significant experience in software engineering, particularly in architecting and optimizing data infrastructure.
- A proven track record of scaling data stores to accommodate petabyte-level data volumes is essential for success in this role.
- Strong expertise in designing high-efficiency caching systems to eliminate latency is crucial.
- The candidate should possess hands-on experience with complex database systems such as MySQL, PostgreSQL, Redis, and OpenSearch.
- Proficiency in programming languages, especially Python and C++, is necessary to ensure robust and maintainable code.
- Familiarity with distributed data processing frameworks will be beneficial for guiding strategic technology decisions.
- A solid background in retrieval-augmented generation systems will be advantageous for innovation within data workflows.