Requirements

8+ years of industry experience in designing, building, and supporting large-scale systems in production.
Experience in building large-scale, distributed, fault-tolerant services.
Excellent understanding of low-level operating system concepts including multi-threading, memory management, networking, storage, and performance at scale.
Strong CS fundamentals, including data structures, algorithms, and distributed systems.
Systems programming skills, including multi-threading and concurrency. Fluency in C++ or Java is preferred.
A track record of identifying and implementing creative solutions.
Experience with cloud infrastructure – AWS, Azure, or Google Cloud.
BS in Computer Science; Masters or Ph.D. preferred.
Fluency in English.

What You'll Be Doing

Design and implement complex, distributed platforms for storing data, scaling parallel algorithms, etc.
Analyze fault-tolerance and high-availability issues, performance and scale challenges, and solve them.
Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions.
Understand the trade-offs between consistency, durability, and costs to build solutions that can meet the demands of rapidly growing services.
Ensure operational readiness of the services and meet our commitments to customers regarding availability and performance.

Engineering team surmounts obstacles in building new enterprise technologies.
Build an industry-leading Cloud Data Platform that customers love.
Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more!
Gain experience implementing multi-tenant systems, with a focus on isolation and security.
Join a world-class team of both industry veterans and rising stars.