Senior Engineer - AI-Native R&D Efficiency Platform

OKX; Hong Kong; On-site; HKD 1,177,000 - 1,805,000; Full time

Benefits offered by this job

Wellness and meal allowances

Comprehensive healthcare schemes for员工

Job summary

OKX is seeking a Senior/Staff Engineer to own the core build-out of the R&D Efficiency Platform, reducing delivery cost while improving quality through automation and platformization.

You will lead AI-Native improvements in CI/CD, implement DevSecOps across the lifecycle, and establish standardized change management with canaries and traceability, leveraging Kubernetes and major cloud services to scale.

Qualifications

• Solid CS fundamentals (OS, networking, distributed systems, data structures & algorithms).
• Proficient in DevOps toolchains, CI/CD, Kubernetes, and microservice stacks.
• Familiar with DevSecOps concepts and security toolchains, understanding supply-chain security and compliance.

Responsibilities

• Build core capabilities of the R&D Efficiency Platform and onboard business systems to improve overall engineering efficiency and delivery quality.
• Design and optimize CI/CD pipelines (GitLab, Pipeline, ArgoCD), driving standardization, automation, and observability.
• Drive the AI-Native evolution of CI/CD, introducing AI Agents for intelligent code review, pipeline self-healing, smart test orchestration, and change-risk prediction.
• Build DevSecOps capabilities, embedding Shift-Left Security across the lifecycle with SAST, DAST, SCA, image/secret scanning, and security gates to ensure supply-chain security.
• Establish standardized Change Management, covering requests, risk assessment, approvals (CAB), canary releases, rollback, and change traceability.
• Apply Kubernetes, microservice governance (Nacos, Apollo, Kong), and Aliyun / AWS cloud services to ensure platform stability and scalability.

Skills

DevOps toolchains

CI/CD

Kubernetes

Microservices

Java stack

AI/LLM in engineering

Security concepts

Tools

Nacos

Apollo

Kong

Aliyun

AWS

Job description

OKX is seeking a Senior/Staff Engineer to own the core build-out of the R&D Efficiency Platform, reducing delivery cost while improving quality through automation and platformization.

You will lead AI-Native improvements in CI/CD, implement DevSecOps across the lifecycle, and establish standardized change management with canaries and traceability, leveraging Kubernetes and major cloud services to scale.