Big Data Platform Engineer, AI Agent Platform
Quick Summary
Platform Core : Design and operate large-scale distributed data systems Own the big data compute and storage infrastructure (MaxCompute/ODPS, Hologres,
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,
About the Role
~1 min readWe 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
~1 min read- →
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
~1 min read-
5+ years of experience building large-scale data platforms (Hadoop/Spark/Flink or equivalent)
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Deep expertise in distributed storage and compute systems (MaxCompute, Hologres, ClickHouse, Hive)
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Strong software engineering skills in Java, Scala, or Python; experience with API-first design
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Hands-on experience with task scheduling systems (Airflow, DolphinScheduler, or in-house equivalents)
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Solid understanding of multi-cloud architectures and cost governance
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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
Requirements
~1 min read-
IELTS score of 7 or above in all four components.
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3+ years of work experience in English-speaking regions.
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Experience in cross border e-commerce, and familiarity with multi-country, multi-language architectural design is a plus.
What We Offer
~1 min readListing Details
- Posted
- March 16, 2026
- First seen
- March 26, 2026
- Last seen
- April 23, 2026
Posting Health
- Days active
- 27
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- April 23, 2026
Signal breakdown

OKX is a global cryptocurrency exchange and Web3 technology company, offering trading, wallet services, and access to decentralized finance. Founded in 2017, it serves millions of users in over 100 countries.
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