Note: The job is a remote job and is open to candidates in USA. Redis is a company that builds the product that runs the fast apps our world relies on. As a Senior Software Engineer for the Feature Store product, you will lead the technical vision and execution while engaging with strategic customers to meet their performance and reliability needs.
Responsibilities
- Own Technical Excellence: Define and drive the architecture, design patterns, and engineering standards for the feature store platform. Set a high bar for code quality, system reliability, and performance
- V2 Implementation: Assist and execute the next generation of our feature store—building for scale, low-latency serving, and enterprise-grade reliability
- Guide Product Roadmap: Partner with Product and leadership to help shape the technical roadmap. Translate customer requirements and market trends into actionable engineering priorities
- Drive Adoption of Modern Practices: Champion the use of AI-assisted development tools, observability best practices, and infrastructure automation to accelerate delivery
Skills
- 5+ years of experience in backend/infrastructure engineering, with demonstrated expertise in building large-scale distributed systems
- Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale
- Expertise in Python, Go, and Rust
- Strong knowledge of cloud platforms (AWS, GCP, Azure) and modern data infrastructure (Kafka, Flink, Redis, Spark, or similar)
- Experience working with enterprise customers, particularly in regulated industries like financial services
- Excellent communication skills—able to translate complex technical concepts for both engineering teams and business stakeholders
- Direct experience building or operating feature stores (Feast, Tecton, Hopsworks, or custom implementations)
- Experience with real-time feature serving at sub-millisecond latencies
- Background in financial services, banking technology, or compliance-heavy environments
- Contributions to open-source ML infrastructure projects
- Hands-on experience as a data scientist or ML practitioner—training and deploying models in production
Benefits
- Offers Equity
- Competitive Compensation: Salary, equity, and comprehensive benefits
- Flexible Work: Remote-friendly culture with flexibility to do your best work
- 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
- Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws
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