Azure Cloud Engineer

Jobgether SRL; Ireland; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Remote work

Career growth & certifications

Global, collaborative team

Job summary

Jobgether is seeking an Azure Cloud Engineer based in Ireland to own the reliability, security, and performance of Azure-hosted services across dev, staging, and production.

You will automate infrastructure with Terraform, maintain CI/CD pipelines via GitHub Actions, and collaborate with enterprise software teams to deploy containerized apps, databases, and AI services while upholding high availability and cost governance.

Qualifications

• 5+ years of hands-on experience operating production-grade enterprise workloads in Microsoft Azure.
• Deep proficiency with Infrastructure as Code using Terraform and CI/CD automation through GitHub Actions.
• Strong background in containerized applications (Azure Container Apps) and managed databases (Azure PostgreSQL).
• Experience with enterprise observability using Azure Monitor, Log Analytics and Application Insights.
• Scripting skills in Bash, PowerShell or Python for automation and health checks.
• Excellent cross-functional communication and documentation, with exposure to AI service operations (Azure OpenAI/AI Foundry) or Service Bus.

Responsibilities

• Administer Azure cloud infrastructure across dev, QA, staging, and production environments.
• Develop modular IaC using Terraform, manage state, workspaces, variables, tagging and drift remediation.
• Build and maintain CI/CD workflows in GitHub Actions with release gates, approvals and secret protection.
• Monitor health, latency, quotas, token usage and costs for Azure AI services and workloads.
• Implement observability dashboards and alerts using Azure Monitor, Log Analytics and Application Insights.
• Drive incident response, triage, and root-cause analysis with runbooks, DR strategies and compliance.

Skills

Terraform

GitHub Actions

Azure Cloud

Azure AI Foundry

Cloud security

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 Ireland.

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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.