Location: Singapore, Singapore
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
.
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ГибридseniorПомогают с релокацией (Португалия); Conduct data studies to uncover insights Write ETL pipelines (data marts, alerts, and predictions) Ask "why" and "what problem are we solving" Requirements Experience in data analysis and in marketing analytics Understanding of marketing KPIs, attribution models, and the problems ad platforms solve Knowledge of mathematical statistics and experience applying it Ability to write complex SQL queries Data analysis skills in Python Ability to choose the right evaluation approach: analytics, research, or use of external data Ability to solve non-trivial problems under incomplete data Attention to detail and ability to see any task through to completion Good English verbal and written communication skills (B2+) Preferred Experience running A/B, geo, and other types of experiments Experience in econometrics Benefits Compensation package: base salary and performance-based bonuses Relocation support: full assistance for a smooth relocation for employees and their families to Lisbon, Portugal Office-first: flexible hours with the possibility to work remotely 52 days per year Care and wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team and growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional training, and English and Portuguese courses Community and engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of teamwork