Skip to main content

OKX

Big Data Engineer, Web3

Singapore

Location
Singapore
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Data & AI
Pay
Not stated
Posted
4 months ago

About the role

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

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

We are building the foundational data infrastructure that powers one of the world's leading crypto exchanges. As a Big Data Platform Engineer, you will design, build, and evolve the core platform services that enable hundreds of data engineers and analysts to move fast and ship reliable pipelines. You will be at the forefront of our AI agent initiative — embedding LLM-driven capabilities directly into the platform layer so that scheduling, cost optimization, and incident response increasingly run autonomously.

What You’ll Be Doing

  • Platform Core: Design and operate large-scale distributed data systems
  • Own the big data compute and storage infrastructure (MaxCompute/ODPS, Hologres, Spark)
  • Build and maintain multi-site task orchestration that dynamically selects engines and enforces policy
  • Drive reliability and performance improvements across batch and real-time pipelines
  • AI Integration: Build the AI-native platform layer
  • Develop and expose MCP (Model Context Protocol) tool interfaces so AI agents can interact with platform APIs
  • Build the scheduling and cost-optimization agents that auto-tune resource allocation and alert severity
  • Instrument platform telemetry to feed AI-driven SLA monitoring and anomaly detection
  • Design context retrieval pipelines (RAG / vector search) for SQL code and config knowledge bases
  • Tooling & DX: Evolve the developer experience
  • Own the internal data development platform — IDE integrations, code review automation, deployment tooling
  • Build APIs-first tools (backfill, ingestion automation) designed for future MCP integration
  • Collaborate with data warehouse and service teams to define platform contracts
  • Ops & Governance: Drive operational excellence
  • Establish SLA benchmarks, cost metrics, and latency dashboards as AI optimization targets
  • Build automated incident response and root-cause analysis pipelines
  • Define and enforce infrastructure policies across multi-cloud environments

AI Agent Ownership — Platform Tier

  • Scheduling Agent: auto-configure task dependencies, engine selection, cost/performance trade-offs, and alert tiers
  • Operations Agent: detect pipeline latency, performance degradation, and schema drift; trigger remediation
  • Incident Response Agent: trace SLA breaches to root cause, assign accountability, generate post-mortems
  • MCP Tool Layer: design and maintain the cross-platform tool interfaces that all agents call into

What We Look For In You

  • 5+ years of experience building large-scale data platforms (Hadoop/Spark/Flink or equivalent)
  • Deep expertise in distributed storage and compute systems (MaxCompute, Hologres, ClickHouse, Hive)
  • Strong software engineering skills in Java, Scala, or Python; experience with API-first design
  • Hands-on experience with task scheduling systems (Airflow, DolphinScheduler, or in-house equivalents)
  • Solid understanding of multi-cloud architectures and cost governance
  • Familiarity with LLM integration patterns: tool calling, RAG pipelines, context management
  • Experience with MCP or similar agent-tool frameworks is a strong plus
  • Passion for building systems that make other engineers 10x more productive

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.

Source

Posted by OKX on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 02:35 UTC; the original is the reference.

View the original ad ↗

More at OKX

  • OKX · Dubai, United Arab Emirates +2

    RemoteSeniorPeople & HR

    Our recruiting team is a core strategic driver of OKX's success. We build the foundation of our future by hiring extraordinary talent who share our mission of building an inclusive future of finance. We are looking for a Senior Talent Acquisition Manager to partner with our…

  • OKX · Argentina +2

    RemoteManagerMarketing

    The Senior Product Marketing Manager for LATAM will play a critical role in shaping OKX’s go-to-market strategy, driving community-led expansion and ensuring our CeFi and Web3 product narratives resonate with users in these key regions.

  • OKX · San Jose, California, United States

    Lead / staff$214.7K – $322K a yearData & AI

    We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model…

  • OKX · San Jose, California, United States

    Director$200K – $300K a yearFinance

    We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect,…