OKX

Venture capital for blockchain startups

Infrastructure Architect

Platform EngineeringConfirmed live in the last 24 hours

Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

A 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, including understanding toolchain, dependency, and runtime differences, and the 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 large language models 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, and the ability to drive implementation through design reviews, technical guidance, and collaboration across teams.

Responsibilities

Define platform architecture, technical standards, and roadmaps while balancing scalability, reliability, security, and cost; lead critical component design, hands-on development, and implementation across teams.
Connect code, documentation, dependencies, test results, and runtime data into usable engineering context; expose capabilities through APIs, command-line interfaces, and software development kits so developers and agents can understand and review code, run tests, and resolve issues; establish task evaluations, output validation, and execution permissions.
Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust; use standard protocols and software development kits to support cross-language communication, interface compatibility, and consistent telemetry while reducing platform integration effort.
Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases; apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution.
Build shared platforms for builds, tests, artifacts, and releases across hosts and containers; improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk.
Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments; establish service-level indicators, service-level objectives, error budgets, and alerting practices, and feed production findings back into engineering quality improvements.
Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation; use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work.

Desired Qualifications

Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms.
Experience leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms.
Experience building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production.
Experience operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects.

Who We Are

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.

About the Opportunity

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.

What You’ll Be Doing

Infrastructure Architecture and Evolution: Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams.
AI Native Engineering Capabilities: Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions.
Infrastructure for Multiple Languages: Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort.
Monorepo and Build Systems: Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution.
CI/CD and Quality Engineering: Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk.
Observability and Reliability: Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements.
AIOps and Automated Remediation: Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work.

What We Look For In You

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.
Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams.

Nice to Haves

Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred.
Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms.
Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production.
Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects.

Perks & Benefits

Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!

Notice:

All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

About the Company

OKX

Venture capital for blockchain startups

OKX Ventures acts as the investment arm of the OKX cryptocurrency exchange, funding and supporting blockchain, DeFi, and Web3 projects. It invests across a wide range of areas—from infrastructure and middleware to applications and games—aiming to strengthen the crypto ecosystem. The firm provides capital and access to OKX’s network of partners and advisors to help portfolio companies grow and succeed. Notable holdings include Polygon, Solana, and Avalanche, reflecting a strategy focused on projects with potential to impact the crypto industry at large. OKX Ventures differentiates itself through its crypto-native perspective, extensive industry network, and active involvement in portfolio development, rather than just providing funding. Its goal is to identify promising projects and help them scale, contributing to a more robust and innovative blockchain ecosystem.

Company size: 5,001-10,000
Company stage: Not listed
Total funding: $1.1B
Headquarters: Singapore, Singapore
Founded: 2017

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