- Location
- Hong Kong, Hong Kong SAR
- Department
- Engineering
- Seniority
- Senior
- Source
- Greenhouse
Description
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 Pay, OKX Wallet, OKLink and more.
About the Role
As the company moves toward a "QA-less" model, quality ownership is shifting left to the engineering teams. We are looking for an Engineering Productivity expert who can take a holistic view across quality, efficiency, and infrastructure — deeply integrating AI capabilities to build and operationalize an engineering-productivity system tailored to our business scenarios, ensuring business engineering teams deliver efficiently and with high quality.
Responsibilities
- Design and optimize a quality-assurance system and metrics framework covering the full lifecycle — requirements, coding, testing, release, and production — for engineering organizations without dedicated QA.
- Build and ship AI-driven capabilities on top of our AI infrastructure, including test generation, code review, targeted regression testing, fault diagnosis, and risk prediction, embedding them deeply into engineering workflows.
- Identify bottlenecks in delivery efficiency and quality, establish productivity metrics and improvement mechanisms, and use engineering + AI methods to continuously shorten delivery cycles and reduce the cost of quality.
- Build and evolve engineering infrastructure (CI/CD pipelines, test-environment governance, automated testing and productivity platforms, tooling) to provide a unified engineering foundation for shift-left quality.
Requirements
- 8+ years of software engineering experience, with several years of hands-on backend development (for quality-engineering / SDET backgrounds, real development experience is required); proven success leading a quality/efficiency initiative from 0 to 1 with quantifiable results is a plus.
- Expertise in Java and its ecosystem (Spring, microservices, middleware) or one or more other mainstream backend languages (Go, C++, Rust, etc.), with the hands-on ability to independently design and build business systems; familiarity with CI/CD, containerization (K8s), and test-environment governance.
- Practical AI engineering experience: familiar with AI agent application development (e.g., prompt engineering, tool orchestration, multi-agent collaboration, harness / loop engineering) and applying it to testing or engineering-productivity scenarios.
- Familiarity with payments/financial business (acquiring, channels, clearing & settlement, etc.), and an understanding of the strict correctness and consistency requirements of money-handling systems.
- Distinctive insight and standout contributions in the quality/productivity space (systems building, open-source tools, platform products, patents, or technical talks all count).
- Strong cross-team influence and technical leadership.
Nice-to-Haves
- Familiarity with blockchain business and AI Infra.
- Solid practical written and spoken English: able to handle occasional day-to-day written and verbal communication in English (cross-timezone collaboration, English documentation writing and review).
Perks & Benefits
- Competitive total compensation
- Comprehensive insurance coverage for employees and their dependants
- More that we love to tell you along the process!