[Remote] Senior Software Engineer, Feature Store

Note: The job is a remote job and is open to candidates in USA. Redis is a leading technology company that provides fast applications for various industries. As a Senior Software Engineer for the Feature Store product, you will lead technical vision and execution while engaging with strategic customers to ensure high performance and reliability of the platform.

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

• Competitive Compensation: Salary, equity, and comprehensive benefits
• Flexible Work: Remote-friendly culture with flexibility to do your best work

Company Overview

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