J Azure Cloud Engineer Jobgether Remote, Oregon, US

Artha; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

100% remote work

Career advancement & certifications

Job summary

Artha seeks an Azure Cloud Engineer to own production workloads in Azure for a global SaaS portfolio. You will ensure reliability, security, and performance of containerized services, PostgreSQL, and AI workloads across development stages.

Remote, with responsibilities including Terraform IaC, CI/CD via GitHub Actions, and monitoring/observability using Azure Monitor and Application Insights; collaborate with engineers to drive availability and cost governance.

Qualifications

• 5+ years of hands-on experience operating enterprise workloads in Microsoft Azure.
• Infrastructure as Code using Terraform and CI/CD automation with GitHub Actions.
• Experience with containerized apps (Azure Container Apps) and managed databases (Azure PostgreSQL).
• Experience with observability: Azure Monitor, Log Analytics, Application Insights.
• Scripting in Bash/PowerShell/Python for automation and health checks.

Responsibilities

• Administer Azure cloud infrastructure across dev, QA, staging, and production environments (Container Apps, PostgreSQL, Service Bus, etc.).
• Develop and maintain modular IaC with Terraform, manage state and drift remediation.
• Build and troubleshoot CI/CD workflows in GitHub Actions with release gates and secret protections.
• Monitor health, latency, quotas, token usage, and costs for Azure AI services (Foundry, Speech-to-Text).
• Implement observability and alerts using Azure Monitor, Log Analytics, and Application Insights; define SLIs/SLOs.
• Drive incident response, root-cause analysis, runbooks, DR strategies, and security compliance (SOC 2, ISO 27001).

Skills

Communication

Documentation

SRE practices

Incident response

Tools

Terraform

GitHub Actions

Azure Container Apps

Azure PostgreSQL

Azure Monitor

Application Insights

Azure Key Vault

RBAC

PowerShell

Python

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 United States.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.