Big Data Engineer, Web3

OKX · Singapore, Singapore · 2 months ago

Category: Data engineering
Experience: 5+ years
Visa sponsorship: No
Company size: 1000+

agentic-ai ai airflow anomaly-detection api automation blockchain clickhouse cloud data-warehousing developer-experience

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!

Big Data Engineer, Web3

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