Senior Cloud Infrastructure Engineer

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.
About the Team
Cloud Infrastructure Engineering is a critical engineering discipline and a job function in the company. Its charter is to build tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience.
Our work is to drive safety, health and uptime of our platform, and the ability to remedy unforeseen problems. By removing some of the complex burdens on how to scale and maintain uptime in distributed systems, Cloud Infrastructure Engineer allows development teams to focus on feature development instead of the nuances of achieving and maintaining service level commitments.
About the Opportunity:
We’re looking for a creative and driven individual that can spearhead our effort to push “outside the box” infrastructure implementations, that will have a tremendous impact on our platform’s stability and scalability.
What You’ll Be Doing:
Responsible for the maintenance and configuration of AWS products and services
Responsible for the research, architecture and project implementation solutions based on AWS products
Responsible for the daily maintenance of each AWS cloud environment
Support the deployment, maintenance and scaling of big data and machine learning platforms (e.g., Databricks, AWS SageMaker, Aliyun DSW) to enable data processing and model training workflows
Own the Databricks platform on AWS end to end: workspace provisioning, account/workspace configuration, cluster policies, instance pools, and SQL warehouses, managed as code via the Databricks Terraform provider
Monitor and optimize Databricks cost and performance, including cluster sizing and autoscaling, Photon/serverless adoption, DBU usage tracking via system tables, and job reliability tuning
Automate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelines
Assist the team in troubleshooting and resolving production database issues during incidents
Monitor company services and handle alerts in a timely manner to ensure service stability and uptime
Collaborate with development teams to ensure seamless integration and deployment of new features
Design, build and maintain internal platforms and tooling to improve operational efficiency, and support unified multi-cloud management across AWS, Alibaba Cloud, and other providers
What We Look For In You:
Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions
Proficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologies
Have a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problems
Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis
Familiar with Kubernetes (k8s) for container orchestration and management
Familiar with the functional features of AWS products and core products, and have rich practical experience in deployment and tuning of EC2, EKS, VPC, or big data products
Experience with microservices architecture, including deployment, scaling, and maintenance
Experience in monitoring, O&M and management of AWS large-scale servers and containers
Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus
Hands-on experience with big data / machine learning platforms such as Databricks, AWS SageMaker, or Aliyun DSW, including supporting data pipelines, notebook environments, and model training/deployment workflows
Familiar with the deployment, configuration and maintenance of Nginx, kong and other software