# Senior Software Engineer, Feature Store

**Company:** [Redis](https://hotfix.jobs/companies/redis)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $197k – $246k/yr
**Experience:** 5+ years
**Skills:** Python, Go, Rust, AWS, GCP, Azure, Kafka, Flink, Redis, Spark, Feast, Tecton, Hopsworks
**Posted:** 2026-04-15

> Leads technical vision and execution for the Feature Store platform, building scalable ML infrastructure with low-latency serving. Requires 5+ years backend experience, expertise in Python/Go/Rust, cloud platforms, and data tools for enterprise customers.

## Job Description

## 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

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**Apply:** https://hotfix.jobs/jobs/9abd0ab2-61eb-4a36-9a8b-a6a8bec466ff
**Canonical:** https://hotfix.jobs/jobs/9abd0ab2-61eb-4a36-9a8b-a6a8bec466ff