Senior Cloud Infrastructure Engineer
Summary
Senior Cloud Infrastructure Engineer at crypto exchange OKX: maintains and architects AWS cloud environments, owns the Databricks platform end to end, automates infrastructure with Terraform and CI/CD, monitors production services and incidents, and supports big data/ML workloads across AWS and Alibaba Cloud.
Who We Are
About the Team
About the Opportunity:
What You’ll Be Doing:
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Responsible for the maintenance and configuration of AWS products and services
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Responsible for the research, architecture and project implementation solutions based on AWS products
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Responsible for the daily maintenance of each AWS cloud environment
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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
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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
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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
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Automate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelines
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Assist the team in troubleshooting and resolving production database issues during incidents
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Monitor company services and handle alerts in a timely manner to ensure service stability and uptime
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Collaborate with development teams to ensure seamless integration and deployment of new features
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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:
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Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions
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Proficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologies
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Have a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problems
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Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis
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Familiar with Kubernetes (k8s) for container orchestration and management
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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
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Experience with microservices architecture, including deployment, scaling, and maintenance
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Experience in monitoring, O&M and management of AWS large-scale servers and containers
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Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus
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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
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Familiar with the deployment, configuration and maintenance of Nginx, kong and other software
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Proficient in using Python/Go/shell for development
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Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native
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Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency
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Working knowledge of Terraform or similar IaC tools is a plus
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Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive
Nice to Have:
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Bilingual in English and Mandarin
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Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers.
Perks & Benefits
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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Wellness and meal allowances
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Comprehensive healthcare schemes for employees and dependants
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More that we love to tell you along the process!
Skills
- AI
- AWS
- Bash
- Big Data
- CI/CD
- Claude Code
- Cloud
- Cloud Native
- Data Pipelines
- Databricks
- DevOps
- Distributed Systems
- EC2
- EKS
- GCP
- HBase
- Infrastructure as Code
- Kubernetes
- Linux
- Machine Learning
- Microservices
- MongoDB
- MySQL
- Networking
- Nginx
- NoSQL
- PostgreSQL
- Python
- RDBMS
- Redis
- SageMaker
- Serverless
- SQL
- SRE
- Terraform
- VPC
As published by greenhouse · 4 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (1)
- LinkedIn Profile optional
Pick from a list (3)
- Are you eligible to work in the location this job post is posted in?
- Will you require visa sponsorship to work in the location now or in the future?
- Are you fluent in Mandarin?