Azure Cloud Engineer

Jobgether SRL; India; Remote; INR 2,800,000 - 4,800,000; Full time

Benefits offered by this job

Remote work

Career growth

Certifications

Global team

Job summary

Lever, Inc. in India is seeking an experienced Azure Cloud Engineer to own production Azure workloads, implement IaC with Terraform, and automate CI/CD via GitHub Actions.

You will manage containers, databases, security, monitoring, and cost governance across dev, staging, and production, collaborating with enterprise SaaS teams.

This fully remote role offers opportunities to work with AI-enabled Azure services in a globally distributed environment.

Qualifications

• 5+ years of hands-on experience operating production-grade Azure workloads.
• Deep Terraform IaC experience and GitHub Actions for CI/CD.
• Strong background with containerized apps and Azure services.
• Experience with observability tools and cost governance.
• Solid scripting skills (Bash/PowerShell/Python).

Responsibilities

• Administer Azure infrastructure across dev, QA, staging, and production.
• Build and maintain modular IaC with Terraform and proper state management.
• Create and manage CI/CD workflows in GitHub Actions with gates and rollbacks.
• Monitor health, latency, quotas, and costs for Azure AI services.
• Establish observability with Azure Monitor, Log Analytics, and Insights.
• Lead incident response and security/compliance initiatives (SOC 2, ISO 27001).

Skills

Azure Cloud

Terraform

GitHub Actions

Bash/PowerShell/Python

Observability

Cost optimization

CI/CD pipelines

Container Apps

PostgreSQL

Key Vault/Identity

Tools

Azure Arc

Azure Monitor

Application Insights

Service Bus

SignalR

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Azure Cloud Engineer based in India.

As a CloudOps engineer supporting an enterprise SaaS portfolio rebuilding vertical software with AI, you will hold complete operational responsibility for the reliability, security, scalability, and performance of Azure-hosted environments. Operating in an outcome-driven, remote culture, you will partner directly with forward-deployed engineering teams to automate infrastructure using Terraform and maintain CI/CD pipelines via GitHub Actions. Your scope covers everything from containerized microservices and managed databases to cutting-edge Azure AI Foundry and Speech-to-Text services across dev, staging, and production tiers. By establishing robust monitoring, finops cost-governance, and high-availability standards, your contributions will directly ensure seamless uptime and rapid production deployments for software running mission-critical operations worldwide.

Accountabilities:

• Administer Azure cloud infrastructure across dev, QA, staging, and production environments, maintaining services like Container Apps, Static Web Apps, PostgreSQL, Service Bus, Azure Arc, and SignalR.

• Develop and maintain modular Infrastructure as Code using Terraform, managing state files, workspaces, variable structures, resource tagging, and drift remediation.

• Build, safeguard, and troubleshoot automated CI/CD deployment workflows in GitHub Actions, implementing release gates, approval mechanisms, secret protection, and rollback procedures.

• Monitor operational health, latency, quotas, token usage, and costs for Azure AI services, including Azure AI Foundry, Speech-to-Text workloads, and LLM integrations.

• Implement observability, dashboards, and actionable alerts using Azure Monitor, Log Analytics, and Application Insights while establishing clear SLIs and SLOs.

• Drive incident response, triage, and root-cause analysis across deployments, maintaining operational runbooks, disaster recovery strategies, and security compliance standards (e.g., SOC 2, ISO 27001).

Requirements:

• 5+ years of hands‑on experience operating production‑grade enterprise workloads within Microsoft Azure environments.

• Deep proficiency with Infrastructure as Code using Terraform, alongside CI/CD pipeline automation through GitHub Actions.

• Strong background in containerized applications (Azure Container Apps), managed relational databases (Azure PostgreSQL), and cloud networking/identity protocols (DNS, RBAC, Key Vault, Managed Identities).

• Demonstrated experience setting up enterprise observability using Azure Monitor, Log Analytics, and Application Insights.

• Solid scripting skills in Bash, PowerShell, or Python for operational automation, health checks, and troubleshooting.

• Excellent cross‑functional communication and documentation skills, with preferred exposure to AI service operations (Azure OpenAI/AI Foundry), message queues (Service Bus), or FinOps cost optimization.

Benefits:

• Competitive salary package commensurate with experience and technical expertise.

• 100% remote work model offering schedule autonomy and flexibility.

• Comprehensive opportunities for career advancement, skill expansion, and professional certifications.

• Direct hands‑on experience operating production AI systems and LLM integrations at enterprise scale.

• Diverse, collaborative international environment within a forward‑thinking technology team.

How Jobgether works:

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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