[Remote] Senior Software Engineer, Feature Store
Note: The job is a remote job and is open to candidates in USA. reputed company is a leading technology company that provides fast applications for various industries. As a Senior Software Engineer for the Feature Store product, you will reputed company 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 reputed company 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, reputed company, Spark, or similar)
- Experience working with enterprise customers, particularly in regulated industries like financial services
- Excellent communication skills—able to translate reputed company 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-reputed company 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
Company H1B Sponsorship