Staff Cloud Infrastructure Engineer
- San Jose, United States
- Lead/Staff
- 6+ years
- Posted
Skills
Required
- Cloud
- deployment
- AWS
- EC2 / EKS / VPC / big data
- Nginx
- Kubernetes
- k8s
- Python / Go / shell
- Terraform
- MySQL
- PostgreSQL
- MongoDB
- HBase
Join our team as a Staff Cloud Infrastructure Engineer, where you will play a critical role in building tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience. You will be responsible for the maintenance and configuration of AWS products and services, as well as the research, architecture, and project implementation of solutions based on AWS products.
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
Responsibilities
- You will also support the deployment, maintenance, and scaling of big data and machine learning platforms, and collaborate with development teams to ensure seamless integration and deployment of new features.
- 负责AWS产品和服务的维护和配置,研究、架构和项目实施基于AWS产品的解决方案。
- 支持大数据和机器学习平台的部署、维护和扩展,负责Databricks平台的端到端管理。
- 自动化基础设施资源的供应、扩展和配置,使用Terraform和CI/CD管道等工具。
Requirements
- Experience with microservices architecture, including deployment, scaling, and maintenance
- Familiar with the deployment, configuration and maintenance of Nginx, kong and other software
- Familiar with Kubernetes (k8s) for container orchestration and management
- Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis
Proficient in using Python/Go/shell for development
- Working knowledge of Terraform or similar IaC tools is a plus
- Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions
- Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency
- 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 in monitoring, O&M and management of AWS large-scale servers and containers
- 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
- Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus
- Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native
- 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
- Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive
- Bilingual in English and Mandarin
- Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers
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