Senior Software Engineer, Feature Store

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.

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 Have

• 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