Big Data Platm Engineer AI Agent Platm

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 role: 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   Responsibilities

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

Requirements

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

Preferred Qualifications

IELTS score of 7 or above in all four components.

3+ years of work experience in English-speaking regions.

Experience in cross border e-commerce, and familiarity with multi-country, multi-language architectural design is a plus.

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!

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