DevOps & Azure Cloud Engineer

Mployee.me; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Mployee.me in Pune seeks an experienced DevOps Engineer to support cloud and on-premises server administration, networking, IAM, and secrets management. You will build robust CI/CD pipelines, automate provisioning, and ensure secure, observable environments for traditional apps, Microsoft platforms, and AI workloads.

You will coordinate deployments, backups, monitoring, and incident recovery while collaborating with data teams to optimize performance and reliability.

Qualifications

• 3-5 years of relevant professional experience.
• Strong hands-on experience with Azure DevOps, Git, CI/CD, YAML pipelines, GitHub Actions, and branching/pull-request strategies.
• Practical Azure cloud experience covering compute, networking, storage, identity, monitoring, and security, across cloud/on-premises/hybrid.
• Experience with PowerShell or Python automation, secrets management, release troubleshooting, and infrastructure-as-code fundamentals.
• Working knowledge of networking concepts including DNS, TCP/IP, firewalls, routing, load balancing, VPN connectivity, and certificates; basic DBA knowledge.
• 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.
• Exposure to SQL Server administration, VMware or virtualization platforms, and enterprise network operations.

Responsibilities

• Assess client environments and define source-control, branching, PR, CI/CD, release, and environment-management standards.
• Build and maintain Azure DevOps YAML pipelines and GitHub Actions workflows for apps, infra, data, and AI solutions.
• Automate provisioning and configuration using PowerShell, Python, and IaC tools (Bicep or Terraform).
• Administer and troubleshoot Azure resources, Windows/Linux servers, on-premises/hybrid environments.
• Implement secure secrets management, certificates, service connections, IAM, and release approvals.
• Support database operational needs including connectivity, deployment scripts, backups, monitoring, and basic performance diagnostics.
• Deploy and operationalize AI solutions including APIs, containers, model endpoints, agent services, config mgmt, monitoring, rollback controls.
• Establish monitoring, alerting, and diagnostics using Azure Monitor, App Insights, Log Analytics.

Skills

Azure DevOps pipelines

Git

CI/CD

YAML pipelines

GitHub Actions

PowerShell

Python

IaC (Bicep/Terraform)

Azure

Windows/Linux servers

Networking basics

Secrets management

DBA basics

Docker

Kubernetes/AKS

Key Vault

Azure Monitor / App Insights

AI workloads deployment

Tools

Azure DevOps

Git

Terraform

Bicep

Docker

Kubernetes/AKS

Key Vault

Azure Monitor

Log Analytics

Application Insights

Job description

The engineer will support cloud and on-premises server administration, networking fundamentals, identity and access management, secrets management, monitoring, and release troubleshooting. The role also requires working knowledge of database administration concepts to coordinate deployments, backups, connectivity, access management, and operational diagnostics with application and data teams.

The ideal candidate brings strong operational ownership and can deploy traditional applications, Microsoft platform solutions, and AI workloads securely and repeatably. Success in this role means stable environments, automated delivery pipelines, clear observability, controlled releases, and faster recovery from incidents.

How You Will Make An Impact

• Assess client environments and define practical 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 such as Bicep or Terraform.
• Administer and troubleshoot Azure resources, Windows/Linux servers, on-premises environments, hybrid connectivity, and core networking components.
• Implement secure secrets management, certificates, service connections, managed identities, role-based access controls, and release approval processes.
• Support database operational needs, including connectivity, access management, deployment scripts, backup and restore coordination, monitoring, and basic performance diagnostics.
• Deploy and operationalize AI solutions, including dependent APIs, containers, model endpoints, agent services, configuration management, 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.

What You Will Bring To The Table

We are looking for a professional who combines technical ownership with strong client partnership. Success in this role requires curiosity, accountability, practical judgment, and the ability to move work forward while keeping stakeholders informed.

• Communicate clearly with clients and internal stakeholders, including during discovery, delivery updates, risk discussions, and project handoffs.
• Take ownership of outcomes, follow work through to completion, and take ownership of risks early with supporting evidence.
• Use documentation, experimentation, and collaboration to solve unfamiliar problems rather than waiting for step-by-step direction.
• Adapt to evolving technologies, priorities, and responsibilities while maintaining quality and security standards.
• Contribute to a supportive engineering culture through peer reviews, knowledge sharing, and professional client interactions.

Qualifications

• 3-5 years of relevant professional experience.
• Strong hands-on experience with Azure DevOps, Git, CI/CD, YAML pipelines, GitHub Actions, and branching/pull-request strategies.
• Practical Azure cloud experience covering compute, networking, storage, identity, monitoring, and security, along with Windows/Linux server support across cloud, on-premises, or hybrid environments.
• Experience with PowerShell or Python automation, secrets management, release troubleshooting, and infrastructure-as-code fundamentals.
• Working knowledge of networking concepts including DNS, TCP/IP, firewalls, routing, load balancing, VPN/private connectivity, and certificates, along with basic DBA knowledge covering connectivity, permissions, deployments, backup/restore, and monitoring.
• Ability to work directly with clients and cross-functional teams, take ownership of incidents, and communicate technical risks clearly.
• 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.
• Experience with Power Platform ALM, CI/CD, data-platform deployments, security scanning, quality gates, and disaster recovery practices.
• Exposure to SQL Server administration, hybrid infrastructure, VMware or comparable virtualization platforms, and enterprise network operations.
• Automated and repeatable deployments across Azure, on-premises, and hybrid environments.
• Stable infrastructure with controlled access, comprehensive monitoring, backup, and recovery practices.
• Production-ready AI and application deployments with traceable configuration management and rollback paths.
• Faster incident diagnosis, reduced release risk, and clear operational ownership.