Senior Software Engineer, Feature Store

Redis

4d•Remote

About The Position

We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? The Role As Senior Software Engineer for our Feature Store product, you will be the driving force behind our platform. You’ll own the technical vision, lead execution, and serve as the primary technical voice with our most strategic customers—including major banks and enterprise organizations with demanding requirements around performance, reliability, and compliance. This role blends deep technical leadership with customer-facing responsibilities. You’ll spend time architecting systems, guiding the roadmap, setting engineering standards, and engaging directly with customers to understand their needs and translate them into product capabilities.

Requirements

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

Nice To Haves

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

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.