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Metro Bangalore location and common Sr DevOps role increase candidate competition.
Azure and AI-platform specialization increases domain bias but DevOps skills remain broadly transferable.
Multiple mandatory Azure, IaC, AKS, and security requirements indicate strict technical filters.
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Design, deploy, and operate scalable, secure Azure cloud infrastructure and CI/CD pipelines supporting web, API, and AI workloads.
Lead DevOps initiatives including mentoring engineers, managing workload planning, and ensuring delivery and operational excellence of platforms.
Implement DevOps best practices across infrastructure as code, monitoring, security, cost optimization, and incident management for AI and data platforms.
Proven experience with Microsoft Azure cloud services for applications, data, and AI workloads.
Hands-on expertise in CI/CD pipeline automation and Infrastructure as Code using tools like Terraform, Bicep, or ARM templates.
Experience in managing, leading, or mentoring technical teams, preferably 3+ years in leadership roles.
Work Experience Required: 3+ years in managing or leading technical DevOps teams.
Strong expertise in Azure-native AI and data services such as Azure OpenAI, Machine Learning, Synapse, and Microsoft Fabric from infrastructure and deployment perspective.
Operationally responsible for production systems with a focus on monitoring, incident management, security, and performance optimization.
Experienced in collaborating with cross-functional teams including software developers, data scientists, and architects to deliver scalable, secure, and production-ready cloud platforms.