What you will do:
- Architect and develop scalable and reliable PaaS and IaaS platforms to serve the whole company to meet our growing business needs.
- Architect and develop high performance and scalable distributed system for large scale data storage, data processing, distributed deep learning, simulation.
- Discover and resolve performance bottlenecks to improve the efficiency of platform continuously.
- Build profiling tools to allow engineers to efficiently identify system bottlenecks.
- Build monitoring and introspection tools to allow engineers to quickly introspect a system.
Requirements:
- BS, MS, PhD in Computer Science / Engineering, Statistics or other equivalent fields
- 3+ year experience of developing scalable, distributed, compute-intensive services and ETLs on AWS or other cloud platforms.
- 3+ year experience of cloud-native software architect and development
- Proficiency in C++, Python, Go, Scala, or Java.
- Familiar with Kubernetes, Linux, Docker, LXC, Micro services.
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