FaaS R&D Engineer - Infrastructure

1. Participate in the design and development of the function computing platform, create an easy-to-use Serverless platform, and provide efficiency value for the business 2. Build elastic capabilities for message consumption scenarios and microservice scenarios, and enable Serverless to reduce costs for the business 3. For single-region multi-cluster and multi-region scenarios at home and abroad, carry out automated high-availability disaster recovery tiered construction to improve the platform's NoOPS capabilities 4. Optimize for large-scale cold start scenarios, provide multi-level cold start capabilities, and meet the cold start requirements of function computing services.

1. Solid programming skills, excellent algorithm and data structure skills 2. Experience in large-scale distributed systems, good at modeling and solving real-world problems 3. Familiar with any one or more languages such as Go, Python, Java, Node.js, Rust, C, etc. 4. Students with experience in open source projects such as Kubernetes, OpenFaaS, Knative, WASM, V8, etc. are preferred 5. Familiar with AWS Lambda, Google Function, Azure Function and other products 6. Have a deep understanding of Serverless related fields.