Azure Cloud Engineer

Jobgether SRL; Schweiz; Remote; CHF 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary package

100% remote work model

Career advancement opportunities

Professional certifications

Hands-on AI systems experience

Job summary

Lever, Inc. partners with a Swiss-based enterprise SaaS provider to rebuild AI-driven cloud workloads on Microsoft Azure. The Azure Cloud Engineer will own operational reliability, security, and performance across production environments and CI/CD pipelines.

In a remote culture, you will automate infrastructure with Terraform, manage Terraform state, and implement monitoring and cost governance. You will collaborate with engineering teams to ensure scalable, compliant, and highly available

Qualifications

• 5+ years of hands-on experience operating production-grade Azure workloads.
• Deep Terraform & GitHub Actions proficiency for CI/CD and IaC.
• Experience with containerized apps and Azure data services.
• Strong observability with Azure Monitor, Log Analytics, and Application Insights.
• Security, disaster recovery, and compliance awareness (SOC 2, ISO 27001).

Responsibilities

• Administer Azure cloud infrastructure across dev, QA, staging, production.
• Develop modular IaC with Terraform and manage state and drift.
• Build and maintain GitHub Actions CI/CD workflows with release gates and secrets.
• Monitor Azure AI services, including Foundry and Speech-to-Text workloads.
• Implement dashboards, SLIs/SLOs, and incident response procedures.
• Support security compliance and disaster recovery planning.

Skills

Cross-functional communication

Documentation

Scripting (Bash/Powershell/Python)

Tools

Terraform

GitHub Actions

Azure Container Apps

Azure PostgreSQL

Azure AI Foundry

Speech-to-Text services

Azure Monitor

Log Analytics

Application Insights

Service Bus

Key Vault

Managed Identities

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 Switzerland.

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.