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工作描述

We seek an experienced Azure DevOps Engineer to optimize CI/CD pipelines and cloud infrastructure for our enterprise platform.

You will collaborate with development and operations teams to automate deployments, enhance scalability, and ensure high availability in Azure environments.

Key Responsibilities

  • Design, implement, and maintain CI/CD pipelines using Azure DevOps, YAML, and multi-stage releases.
  • Automate infrastructure provisioning with ARM templates, Bicep, or Terraform (IaC).
  • Manage Azure resources including AKS, App Services, VMs, and networking; monitor via Azure Monitor and Application Insights.
  • Integrate security (Azure Defender, RBAC) and implement GitOps workflows with Azure Repos.
  • Good understanding of private interconnect (Express Route, Direct Connect, Cloud Interconnect), VPC peering and Ingress/Egress gateway architecture as well as Secure Landing Zone concept.
  • Troubleshoot production issues, optimize costs, and support disaster recovery.
  • Good knowledge of AWS or GCP, with practical experience in cloud infrastructure, automation, monitoring, and security, is highly preferred.
  • Alternatively good knowledge of hybrid/private cloud (K8S, KubeVirt, OpenShift, Tanzu, Rancher) with practical experience deploying infrastructure and running workloads is highly preferred.
  • Familiarity with AI productivity tools and frameworks (efficient coding assistant usage, prompt engineering) is a strong plus.

职位要求

Required Skills & Experience (3+ Years)

Azure Core - AZ-400 certified; deep knowledge of Azure services (AKS, Functions, Cosmos DB) 

CI/CD - Azure Pipelines, GitHub Actions; multi-repo strategies 

AWS Core - Hands-on experience with EC2, EKS, S3, RDS, IAM, CloudWatch, VPC

Scripting/IaC - PowerShell, Bash, Terraform; ARM/Bicep templates 

Containers - Docker, Kubernetes (AKS); Helm charts 

Monitoring/Security - Azure Sentinel, Log Analytics; compliance (GDPR, SOC2) 

AI exposure - using code assistants, prompt engineering

Soft Skills - Agile/Scrum; cross-team collaboration; on-call experience 

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