Staff Cloud Infrastructure Engineer, OKX

• 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
• 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
• Proficient in using Python/Go/shell for development
• Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native
• Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency
• Working knowledge of Terraform or similar IaC tools is a plus
• Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive

Desirable

• 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
• 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