Senior/Staff Engineer, R&D Efficiency Platform
Core
Building and optimizing the company's R&D Efficiency Platform to reduce delivery costs and improve engineering quality through automation, AI-Native upgrades, and DevSecOps.
Role type
Senior/Staff Platform Engineer (DevOps & AI-Native)
Builds
R&D Efficiency Platform, CI/CD pipelines, DevSecOps toolchains, AI-driven code review and test orchestration systems
Domain
Cryptocurrency exchange infrastructure, Cloud-native engineering, AI/LLM integration
Deliverable
production ML models | infrastructure
Required skills
DevOps toolchains, Kubernetes, CI/CD, Microservices, DevSecOps, AI/LLM engineering, Java, Distributed systems, Cloud services (AWS/Aliyun)
Preferred skills
AI-Native engineering mindset, Product sense, Change management expertise
Technologies
GitLab, ArgoCD, Nacos, Apollo, Kong, SAST, DAST, SCA, Kubernetes, AWS, Aliyun
Responsibilities
Build core capabilities of the R&D Efficiency Platform and onboard business systems; Design and optimize CI/CD pipelines; Drive AI-Native evolution of CI/CD with AI Agents/LLMs; Build DevSecOps capabilities embedding Shift-Left Security; Establish standardized Change Management processes; Apply Kubernetes and cloud services to ensure platform stability.
Seniority
Senior/Staff, hands-on IC
