OKX
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 hiring Data Operations Engineers / Data Platform SREs in Singapore to support the reliability, observability, performance, and cost efficiency of our multi-cloud data platform. You will work on core data platform components across Alibaba Cloud and AWS, covering daily operations, incident response, monitoring, automation, resource optimization, and platform reliability improvements. You will collaborate closely with data engineering, data warehouse, BI, platform teams, and cloud vendors to ensure our data pipelines and platform services run reliably at scale. What You’ll Be Doing - Operate and support core data platform components, including Alibaba Cloud DataWorks, MaxCompute / ODPS, Hologres, VVP / Flink, and AWS-based platforms such as Databricks and StarRocks. - Build and maintain monitoring, alerting, and SLA / SLO metrics for data platform services. - Respond to production incidents, troubleshoot issues, participate in post-incident reviews, and drive long-term fixes. - Analyze compute, storage, job, and cluster resource usage to improve performance and optimize cloud costs. - Develop or integrate automation scripts and operational tools to improve health checks, releases, scaling, and troubleshooting efficiency. - Collaborate with data engineering, data warehouse, BI, platform teams, and cloud vendors to continuously improve platform reliability and operational efficiency. What We Look For In You - 3+ years of experience in data platform operations, big data engineering, platform engineering, SRE, or cloud infrastructure operations. - Experience with either AWS or Alibaba Cloud - Hands-on experience with at least one big data or cloud data platform, such as MaxCompute / ODPS, Hologres, Databricks, StarRocks, Flink, Spark, Hive, Presto, or Trino. - Strong SQL skills, with the ability to troubleshoot data issues, job failures, and performance problems. - Solid Linux fundamentals and scripting experience with Shell, Python, or similar languages. - Good understanding of monitoring, alerting, capacity, access control, and resource management. - Strong incident response and troubleshooting skills, with the ability to drive recovery under pressure. - Good communication and collaboration skills in a cross-functional environment. Nice-To-Haves - Experience with Alibaba Cloud DataWorks, MaxCompute / ODPS, Hologres, or VVP / Flink. - Experience with AWS, Databricks, EMR, Glue, Athena, Redshift, or similar cloud data platforms. - Experience operating or tuning OLAP engines such as StarRocks, ClickHouse, Doris, Trino, or Presto. - Experience with monitoring tools such as Prometheus, Grafana, CloudWatch, Datadog, ELK, or OpenSearch. - Experience with Kubernetes, Terraform, Ansible, GitLab CI/CD, Jenkins, or Infrastructure as Code. - Experience with multi-cloud operations, cloud cost optimization, resource governance, or capacity planning. 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.
3+ years of experience in data platform operations, big data engineering, platform engineering, SRE, or cloud infrastructure operations. Experience with either AWS or Alibaba Cloud. Hands-on experience with at least one big data or cloud data platform, such as MaxCompute / ODPS, Hologres, Databricks, StarRocks, Flink, Spark, Hive, Presto, or Trino. Strong SQL skills, with the ability to troubleshoot data issues, job failures, and performance problems. Solid Linux fundamentals and scripting experience with Shell, Python, or similar languages. Good understanding of monitoring, alerting, capacity, access control, and resource management. Strong incident response and troubleshooting skills, with the ability to drive recovery under pressure. Good communication and collaboration skills in a cross-functional environment.
Operate and support core data platform components, including Alibaba Cloud DataWorks, MaxCompute / ODPS, Hologres, VVP / Flink, and AWS-based platforms such as Databricks and StarRocks. Build and maintain monitoring, alerting, and SLA / SLO metrics for data platform services. Respond to production incidents, troubleshoot issues, participate in post-incident reviews, and drive long-term fixes. Analyze compute, storage, job, and cluster resource usage to improve performance and optimize cloud costs. Develop or integrate automation scripts and operational tools to improve health checks, releases, scaling, and troubleshooting efficiency. Collaborate with data engineering, data warehouse, BI, platform teams, and cloud vendors to continuously improve platform reliability and operational efficiency.