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Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com . All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.
Principal Engineer – AI Search & Vector Infrastructure
Location
Bulgaria
Posted
61 days ago
Salary
0
Seniority
Lead
Job Description
Principal Engineer – AI Search & Vector Infrastructure
Redis
Role Description This is a unique opportunity to shape Redis capabilities for the AI era early in the cycle. We are looking for a highly experienced Principal Engineer to join the core Redis Search/AI organization and help define the architecture, technical strategy, and next-generation capabilities powering AI workloads at global scale. In this role, you will work on some of the hardest problems in modern AI infrastructure, including: - Vector indexing - Hybrid retrieval - Distributed query execution - Latency-critical serving - Large-scale system design You will influence the direction of the platform across teams and play a key role in turning advanced research and emerging industry trends into production-ready capabilities used by millions of developers worldwide. Qualifications - Extensive experience designing and building large-scale distributed systems, databases, search engines, storage engines, or AI infrastructure platforms - Strong industry background with experience at leading infrastructure, database, cloud, search, or AI-focused technology companies - Proven track record leading architecture and delivering highly scalable production systems - Deep expertise in one or more of the following areas: - Vector search and information retrieval - Distributed systems - Storage engines and indexing - High-performance systems and low-latency serving - Strong proficiency in C/C++ or Rust, including concurrency, memory management, and performance optimization - Ability to influence technical direction across multiple teams and organizations - Excellent communication skills and ability to collaborate effectively with engineering, product, research, and leadership teams - Bachelor’s or Master’s degree in Computer Science or equivalent practical experience Requirements - Experience building AI infrastructure or retrieval systems for large-scale production environments - Familiarity with Redis internals or NoSQL database architectures - Experience with open-source leadership or significant community contributions - Background in high-performance multithreaded systems - Experience optimizing systems using modern hardware acceleration technologies - Experience mentoring senior technical leaders and scaling engineering organizations Benefits - Culture of curiosity, diversity of thought, and innovation - Diverse and inclusive work environment - Commitment to equal employment opportunities - Support for applicants with mental and/or physical disabilities
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