Staff Cloud Infrastructure Engineer
About The Position
OKX is seeking a creative and driven Staff Cloud Infrastructure Engineer to develop infrastructure implementations that improve platform stability and scalability. The Cloud Infrastructure Engineering team builds tools and infrastructure for early detection of production failures, platform safety, health and uptime, and recovery from unforeseen problems. The role helps development teams scale and maintain distributed systems while focusing on feature development and service-level commitments. The engineer will maintain and configure AWS environments and services, research and implement AWS-based solutions, support big data and machine learning platforms, and own the Databricks platform on AWS. Responsibilities include managing Databricks workspaces, account and workspace configuration, cluster policies, instance pools, and SQL warehouses as code; optimizing cost, performance, and job reliability; and automating infrastructure through Terraform and CI/CD. The role also supports production incident response, monitoring, operational tooling, and unified management across AWS, Alibaba Cloud, and other providers. OKX offers a competitive total compensation package, learning and development programs, education subsidies, team-building programs and company events, wellness and meal allowances, and comprehensive healthcare schemes for employees and dependants. The stated salary range is $214,666 to $321,999; performance bonuses and long-term incentives may also be provided. Benefits may vary depending on the position offered.
Requirements
- Bachelor’s degree or above in Computer Science or a relevant domain.
- More than 6 years of experience in DevOps, SRE, DBA, or related positions.
- Proficiency in AWS distributed management, large-scale clustering, fault tolerance, backup, and load balancing.
- Deep understanding of high-availability architecture and capacity planning, with experience handling complex problems.
- Strong Linux operations, maintenance, and debugging capabilities, including troubleshooting, configuration tuning, and performance analysis.
- Familiarity with Kubernetes for container orchestration and management.
- Familiarity with AWS products and practical experience deploying and tuning EC2, EKS, VPC, or big data products.
- Experience with microservices architecture, including deployment, scaling, and maintenance.
- Experience monitoring, operating, and managing large-scale AWS servers and containers.
- Hands-on experience with big data or machine learning platforms such as Databricks, AWS SageMaker, or Aliyun DSW, supporting data pipelines, notebook environments, and model training or deployment workflows.
- Familiarity with deploying, configuring, and maintaining Nginx, Kong, and similar software.
- Proficiency in Python, Go, or shell development.
- Strong engineering skills and proficiency in at least one infrastructure sub-area, such as public cloud networking, SRE, DevOps, or cloud-native systems.
- Experience with internal developer platforms and proficiency in AI-assisted development tools such as Claude Code or Codex to improve engineering efficiency.
- Excellent business analysis, system architecture, and problem-solving abilities, with strong self-drive.
Nice To Haves
- Experience with relational databases such as MySQL or PostgreSQL and NoSQL or big-data storage systems such as Redis, MongoDB, or HBase.
- Working knowledge of Terraform or similar infrastructure-as-code tools.
- Bilingual proficiency in English and Mandarin.
- Familiarity with operations and maintenance management for Alibaba Cloud, Google Cloud, Microsoft Cloud, and other cloud providers.
Responsibilities
- Maintain and configure AWS products, services, and cloud environments.
- Research, architect, and implement solutions based on AWS products.
- Support deployment, maintenance, and scaling of big data and machine learning platforms, including Databricks, AWS SageMaker, and Aliyun DSW.
- Own the Databricks platform on AWS end to end, including workspace provisioning, account and 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 and serverless adoption, DBU tracking through system tables, and job reliability tuning.
- Automate provisioning, scaling, and configuration of infrastructure resources using tools such as Terraform and CI/CD pipelines.
- Assist the team with troubleshooting and resolving production database issues during incidents.
- Monitor company services and handle alerts promptly to maintain 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.
Benefits
- Competitive total compensation package.
- Learning and development programs.
- Education subsidy for employee growth and development.
- Team-building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependants.
- Performance bonus and long-term incentives may be provided as part of the compensation package, depending on the position offered.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
