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OKX is seeking a senior infrastructure platform engineer to lead architecture and core platform development in a multi-language environment. You will drive CI/CD, observability, AIOps, and monorepo practices across Go, Python, Java, C++, and Rust, empowering developers and AI agents.
Strong leadership and hands-on coding are essential. You will design scalable interfaces, champion automated quality gates, and push for reliable, measurable software delivery.
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments.
Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability.
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, implementing, and operating large production systems.
Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments.
Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations.
Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross‑language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies.
Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows.
Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution.
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