2 months ago
Vancouver, CanadaStaff+
Responsibilities
- Own the technical vision, architecture, design patterns, engineering standards, reliability, and performance of the feature store platform.
- Architect and execute the next generation of the feature store for scale, low-latency serving, and enterprise-grade reliability.
- Partner with Product and leadership to shape the technical roadmap and translate customer needs into engineering priorities.
- Advise strategic customers, including banks and enterprise organizations, on ML infrastructure challenges and platform capabilities.
- Recruit, coach, and develop engineers while fostering technical excellence, ownership, and continuous improvement.
- Participate hands-on in design reviews, code reviews, and critical implementation work.
- Champion AI-assisted development tools, observability practices, and infrastructure automation.
Requirements
- 8+ years of experience in backend or infrastructure engineering building large-scale distributed systems.
- 3+ years in a technical leadership role involving team leadership, architecture decisions, and mentoring.
- Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale.
- Expertise in Python, Go, and Rust.
- Strong knowledge of AWS, GCP, Azure, and modern data infrastructure such as Kafka, Flink, Redis, and Spark.
- Experience working with enterprise customers, especially in regulated financial-services environments.
- Ability to communicate complex technical concepts to engineering teams and business stakeholders.
- Preferred: experience with Feast, Tecton, Hopsworks, or custom feature stores; sub-millisecond feature serving; financial-services or compliance-heavy technology; open-source ML infrastructure; or production model training and deployment.
Benefits
- Competitive compensation including salary, equity, and comprehensive benefits.
- Remote-friendly culture with flexible work arrangements.
- Opportunity to own a critical product line serving banks, financial institutions, and Fortune 500 companies.
- Redis is committed to diversity, inclusion, equal opportunity, and reasonable accommodations.
- Employment offers are contingent on completion of a background check.
Tech Stack
Categories
About Redis
Redis builds an in-memory data platform based on the open-source Redis project, offering Redis Enterprise and Redis Cloud for caching, real-time analytics, and vector search. It sells subscriptions and managed services to enterprises and digital-native teams deploying high-throughput applications across AWS, Azure, and Google Cloud. Founded in 2011 and headquartered in Mountain View, it reports 10,000+ customers worldwide and supports cloud and on-premises deployments.