Senior DevOps Engineer

Job Description:
Role Summary

The Senior DevOps Engineer will design, implement, and maintain robust DevOps practices across cloud and on-prem environments. This role focuses on Azure cloud services, CI/CD automation, security compliance, scalable infrastructure, and AI-driven automation to enable high-performing software delivery. You will collaborate with development teams, lead automation initiatives, and ensure operational excellence.

Total years of Experience:6 to 10 years

Key Responsibilities

• Architect and maintain CI/CD pipelines, infrastructure automation, and cloud deployments.

• Implement Azure services for compute, networking, storage, and container orchestration.

• Ensure security and compliance across DevOps workflows.

• Drive AI-powered monitoring, predictive scaling, and intelligent automation.

• Collaborate with cross-functional teams to optimize performance and reliability.

Must-Have Skills

• Azure Fundamentals: Resource Groups, Subscriptions, RBAC.

• Networking Basics: VNets, Subnets, NSGs, Load Balancers.

• Storage: Blob, File, Queue, Table.

• Compute & Deployment:

  • Azure VMs, Scale Sets.

  • Azure App Services (Web Apps, Functions).

  • Containers: Azure Container Instances, AKS.

• CI/CD & Automation:

  • Azure DevOps (Pipelines - YAML & Classic, Repos, Artifacts, Boards).

  • Infrastructure as Code: ARM Templates, Bicep, Terraform.

  • Scripting: Azure CLI, PowerShell.

• Monitoring & Logging:

  • Azure Monitor, Log Analytics, Application Insights.

  • Alerts and dashboards.

• Security & Compliance:

  • Managed Identities, Key Vault.

  • Policies and Blueprints.

  • Secure pipeline practices.

• Scaling & Reliability:

  • Autoscaling rules.

  • Load balancing (Azure Front Door, Traffic Manager).

Good-to-Have Skills

• Integration with GitHub Actions or Jenkins for hybrid CI/CD.

• Basic software development (C#, Java)

• Knowledge of multi-cloud deployments.

• Familiarity with Kafka, Apache Ignite, and distributed systems.

• AI & Intelligent Automation:

  • AI-driven monitoring and anomaly detection.

  • Familiarity with Azure Cognitive Services and Azure Machine Learning.

  • Predictive scaling and self-healing infrastructure.

• Exposure to AI-based log analysis and incident prediction.

• Experience with data analytics dashboards for operational intelligence.

Qualifications

• Bachelor's degree in computer science or related field.

• 5-8 years of experience in DevOps with strong Azure expertise.

• Strong scripting and automation skills.

• Excellent problem-solving and collaboration abilities.

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