Azure Cloud Engineer

Jobgether SRL; France; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

100% remote work

Career growth & certs

Hands-on AI systems ops

International team

Job summary

Jobgether SRL is seeking an Azure Cloud Engineer based in France to own the reliability and security of Azure-hosted environments. You will automate infrastructure with Terraform, maintain CI/CD pipelines via GitHub Actions, and ensure performance across dev, staging, and production tiers.

You will work remotely in a global, AI-focused SaaS setup, collaborating with engineering teams to implement observability, cost governance, and high-availability standards for mission-critical software.

Qualifications

• 5+ years of hands-on experience operating production-grade Azure workloads.
• Strong IaC experience using Terraform for modular infrastructure.
• Experience building CI/CD pipelines with GitHub Actions.
• Experience with observability using Azure Monitor, Log Analytics, and App Insights.
• Scripting skills in Bash/PowerShell/Python for automation.

Responsibilities

• Administer Azure cloud infrastructure across dev, test, staging, and production environments.
• Develop and maintain modular IaC using Terraform and manage state/workspaces.
• Build and manage CI/CD workflows in GitHub Actions with release gates and secrets protection.
• Monitor health, latency, quotas, and costs for Azure AI services and LLM integrations.
• Establish dashboards, SLIs/SLOs, and incident response/runbooks.

Skills

Azure expertise

CI/CD automation

Scripting (Bash/PowerShell/Python)

Observability

Security & compliance

Tools

Terraform

GitHub Actions

Azure Container Apps

Azure PostgreSQL

Azure Monitor

Application Insights

Azure Arc

Key Vault

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 France.

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.