Senior Cloud Infrastructure Engineer

About the role

In this role at OKX, you will be responsible for maintaining and configuring AWS products and services, ensuring the reliability of cloud environments. You will work closely with development teams to support the deployment and scaling of big data and machine learning platforms.

Success in this position means effectively automating infrastructure resources and optimizing performance while collaborating with various teams to integrate new features. Your contributions will enhance operational efficiency and support multi-cloud management across several providers.

The salary range for this role is between $214,666 and $321,999, reflecting a competitive compensation package.

Skills that matter here

• AWS: You will manage and configure AWS products and services to ensure efficient cloud operations.
• Terraform: Terraform will be used for automating the provisioning and scaling of infrastructure resources.
• Python: Python will be utilized for development tasks related to infrastructure management.
• Go: You will use Go for various development tasks in the cloud infrastructure.
• Kubernetes: Kubernetes knowledge is essential for container orchestration and management.
• Databricks: You will own the Databricks platform on AWS, managing its configuration and performance.

Who this role suits

• You have a strong background in DevOps, SRE, or DBA roles with over 6 years of experience.
• You possess excellent problem-solving skills and a self-driven approach to work.
• You thrive in collaborative environments and communicate effectively with development teams.
• You are comfortable with complex systems and have a deep understanding of cloud architecture.

From the employer

• 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

• 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

• 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!