As a cluster group member, you will be responsible for the software behind the fastest NoSQL clusters on earth, supporting over 50 million ops/sec at sub-millisecond latency with true linear scalability.

​Our ideal candidate is a strong individual that loves to work with a diverse team of bright and ambitious people. You are passionate about technology in general and specifically the challenges around cloud, performance & distributed computing. You are a quick learner, always eager to learn and improve.

So – If you’re all that, fun to work with and want to make an impact while contributing to a wildly successful startup, then this is the right challenge for you.

---

Responsibilities

• Help develop the next generation of Redis Labs’ superior clustering technologies, products and solutions.
• Own Redis Labs Cluster features end-to-end, from design through development and deployment.
• Debug, maintain and improve the Redis Labs Cluster infrastructure, enhancing its ability to handle many thousands of databases with millions of requests per second.
• Participate in various open-source projects that Redis Labs maintains and/or contributes to.
• Work closely with team members, Product, DevOps, Support, Customer Success, and other R&D teams.

Requirements

• Three or more years of hands-on backend development experience working on a large-scale production grade system (preferably cloud based)
• Excellent coding skills with a good understanding of large-scale architecture and design patterns
• Experience with cloud based products, containerization technologies and operating systems (specifically Linux)
• PC Kid (ie – started when you were 13); a B.Sc. in Computer Science or Software Engineering/equivalent
• Self-direction, ambition and an eagerness to learn new things

Advantages

• ​Experience designing and implementing distributed systems = BIG Advantage
• Experience with NoSQL databases (especially Redis)
• Deep understanding of orchestration technologies like Kubernetes & PCF
• Experience with Python / C / C++ / Go
• Have participated in an end-to-end big data and/or large scale performance challenge