1 day ago
Hong Kong, Hong KongSenior
Responsibilities
- Define infrastructure and platform architecture, technical standards, roadmaps, and critical component designs across teams.
- Build AI-native engineering capabilities that connect code, documentation, dependencies, test results, and runtime data for developers and AI agents.
- Develop extensible toolchains, dependency management, testing, delivery, and language integrations for Go, Java, Python, C++, and Rust.
- Design monorepo structures, module boundaries, dependency policies, code ownership, incremental builds, affected-test selection, remote caching, and remote execution.
- Build shared platforms for builds, tests, artifacts, releases, configuration governance, quality gates, progressive delivery, health verification, and rollback.
- Establish unified metrics, logs, traces, profiling, SLIs, SLOs, error budgets, and alerting practices to improve reliability and engineering quality.
- Develop AIOps capabilities for anomaly detection, incident investigation, root cause analysis, incident replay, evaluation, and controlled automated remediation.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership.
- Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing and operating large production systems.
- Strong knowledge of Linux, networking, distributed systems, troubleshooting, deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments.
- Experience building infrastructure for multiple programming languages and designing shared platform interfaces and extensible language integrations.
- Familiarity with Bazel or Buck2, or with gRPC and Protocol Buffers, including experience evaluating, integrating, or optimizing relevant technologies.
- Experience with automated testing, quality gates, release engineering, observability, and reliability measures.
- Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution.
- Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills.
- Preferred experience includes work at leading technology companies, infrastructure or developer productivity platforms, large monorepos, remote execution, AI-powered engineering systems, large host and container environments, software supply chain security, or relevant open-source projects.
Benefits
- Competitive total compensation package.
- Learning and development programs and an education subsidy.
- Team-building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependants.
About OKX
OKX builds a global cryptocurrency exchange and Web3 wallet used by retail and institutional traders for spot, derivatives, and DeFi access, with developer APIs. Its business model centers on trading and financing fees, plus wallet and on-chain services. Founded in 2017 and privately held, OKX publishes monthly proof-of-reserves and operates as part of the OKG group serving crypto markets worldwide.