招聘
Who we are
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.
What You’ll Do
- 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.
What You’ll Need
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5+ years of experience in backend/infrastructure engineering, with demonstrated expertise in building large-scale distributed systems
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Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale
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Expertise in Python, Go, and Rust
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Strong knowledge of cloud platforms (AWS, GCP, Azure) and modern data infrastructure (Kafka, Flink, Redis, Spark, or similar)
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Experience working with enterprise customers, particularly in regulated industries like financial services
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Excellent communication skills—able to translate complex technical concepts for both engineering teams and business stakeholders
Nice to Have
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Direct experience building or operating feature stores (Feast, Tecton, Hopsworks, or custom implementations)
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Experience with real-time feature serving at sub-millisecond latencies
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Background in financial services, banking technology, or compliance-heavy environments
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Contributions to open-source ML infrastructure projects
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Hands-on experience as a data scientist or ML practitioner—training and deploying models in production
Why Join Us
- High-Impact Role:
Own a critical product line and directly influence how the world’s leading organizations build ML systems
- Enterprise Customers:
Work with banks, financial institutions, and Fortune 500 companies solving real, complex problems
- Technical Depth:
Tackle challenges in distributed systems, low-latency serving, and ML infrastructure at scale
- Competitive Compensation:
Salary, equity, and comprehensive benefits
- Flexible Work:
Remote-friendly culture with flexibility to do your best work
As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.
Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.
Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.
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关于Redis

Redis
Series EThe real-time data platform.
201-500
员工数
Mountain View
总部位置
$2B
企业估值
评价
4.2
10条评价
工作生活平衡
3.8
薪酬
4.0
企业文化
4.3
职业发展
3.2
管理层
3.5
78%
推荐给朋友
优点
Supportive and collaborative team environment
Flexible work arrangements and remote options
Good compensation and benefits
缺点
High pressure and stress during peak times
Work-life balance challenges and long hours
Limited career advancement opportunities
薪资范围
55个数据点
Senior/L5
Senior/L5 · SENIOR MANAGER, ANALYTICS ENGINEERING
2份报告
$312,000
年薪总额
基本工资
$240,000
股票
-
奖金
-
$312,000
$312,000
面试经验
3次面试
难度
3.7
/ 5
时长
14-28周
录用率
67%
体验
正面 67%
中性 33%
负面 0%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
System Design
5
Behavioral Interview
6
Final Round
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
新闻动态
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