Staff Cloud Infrastructure Engineer

About the OpportunityWe'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.What You'll Be DoingResponsible for the maintenance and configuration of AWS products and servicesResponsible for the research, architecture and project implementation solutions based on AWS productsResponsible for the daily maintenance of each AWS cloud environmentSupport 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 workflowsOwn 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 providerMonitor and optimize Databricks cost and performance, including cluster sizing and autoscaling, Photon/serverless adoption, DBU usage tracking via system tables, and job reliability tuningAutomate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelinesAssist the team in troubleshooting and resolving production database issues during incidentsMonitor company services and handle alerts in a timely manner to ensure service stability and uptimeCollaborate with development teams to ensure seamless integration and deployment of new featuresDesign, build and maintain internal platforms and tooling to improve operational efficiency, and support unified multi-cloud management across AWS, Alibaba Cloud, and other providersWhat We Look For In YouBachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positionsProficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologiesHave a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problemsHave solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysisFamiliar with Kubernetes (k8s) for container orchestration and managementFamiliar 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 productsExperience with microservices architecture, including deployment, scaling, and maintenanceExperience in monitoring, O&M and management of AWS large-scale servers and containersExperience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plusHands-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 workflowsFamiliar with the deployment, configuration and maintenance of Nginx, kong and other softwareProficient in using Python/Go/shell for developmentStrong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-nativeExperience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiencyWorking knowledge of Terraform or similar IaC tools is a plusExcellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-driveNice to HaveBilingual in English and MandarinFamiliar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers.Perks & BenefitsCompetitive total compensation packageL&D programs and Education subsidy for employees' growth and developmentVarious team building programs and company eventsWellness and meal allowancesComprehensive healthcare schemes for employees and dependantsMore that we love to tell you along the process!