Senior Cloud Infrastructure Engineer
Okx
San Jose
Who We Are
About the Team
About the Opportunity:
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
- 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
Nice to Have:
- Bilingual in English and Mandarin
- Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers.
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!
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