DevOps & Azure Cloud Engineer

Netrix GlobalCloud services

Location: Pune, IN, 1:00 PM to 10:00 PM India Standard Time (IST)Full-TimeMiddle

Salary not disclosed

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Job Details

Experience: 3-5 years of relevant professional experience.
Required Skills: PythonGitMicrosoft AzureCI/CDTerraformGitHub ActionsAzure DevOps

Have 3-5 years of relevant professional experience.
Bring hands-on experience with Azure DevOps, Git, CI/CD, YAML pipelines, GitHub Actions, and branching and pull-request strategies.
Have practical Azure cloud experience covering compute, networking, storage, identity, monitoring, and security.
Support Windows/Linux servers across cloud, on-premises, or hybrid environments.
Have experience with PowerShell or Python automation, secrets management, release troubleshooting, and infrastructure-as-code fundamentals.
Know networking concepts including DNS, TCP/IP, firewalls, routing, load balancing, VPN/private connectivity, and certificates.
Have basic DBA knowledge covering connectivity, permissions, deployments, backup/restore, and monitoring.
Be able to work directly with clients and cross-functional teams, own incidents, and communicate technical risks clearly.
Have experience with Bicep or Terraform, Docker, Kubernetes/AKS, Key Vault, Azure Monitor, Log Analytics, and Application Insights.
Experience deploying AI services, Azure OpenAI/Foundry solutions, APIs, containers, Copilot Studio integrations, or agent workloads is relevant.

Assess client environments and define source-control, branching, pull-request, CI/CD, release, and environment-management standards.
Build and maintain Azure DevOps YAML pipelines and GitHub Actions workflows for applications, infrastructure, data, and AI solutions.
Automate provisioning and configuration using PowerShell, Python, and infrastructure-as-code tools.
Administer and troubleshoot Azure resources, Windows/Linux servers, on-premises environments, hybrid connectivity, and networking components.
Implement secrets management, certificates, service connections, managed identities, role-based access controls, and release approvals.
Support database connectivity, access management, deployment scripts, backup and restore coordination, monitoring, and diagnostics.
Deploy and operationalize AI solutions, including APIs, containers, model endpoints, agent services, monitoring, and rollback controls.
Establish monitoring, alerting, and diagnostics using Azure Monitor, Application Insights, Log Analytics, and platform telemetry.
Coordinate environment readiness, deployment validation, capacity planning, incident response, root-cause analysis, and recovery planning.
Communicate infrastructure risks, release status, dependencies, and remediation plans to clients and internal stakeholders.

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