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Azure CloudOps Engineer
Embrace Software IncCloudOps Engineer managing Azure infrastructure across multiple environments for AI-driven software solutions. Collaborating with engineering teams to ensure security, reliability, and scalability of platforms.
ATS Keywords
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Hard Skills
AzureTerraformCI/CDGitHub ActionsPostgreSQLBashPowerShellPythonAzure MonitorLog Analytics
Soft Skills
documentationcommunicationcross-functional collaboration
Tools & Technologies
Azure AI FoundryAzure ArcStatic Web AppsContainer AppsService BusSignalRKey Vaultmanaged identitiesApplication InsightsAzure Storage Accounts
Industry Keywords
infrastructure as codecloud security best practicesSOC 2ISO 27001disaster recoveryproduction workloadsnetworkingRBACincident responsebackup and recovery
Tech Stack
Tools & technologiesAzureCloudDNSFirewallsPostgresPythonRTOSTerraformVault
About the role
Key responsibilities & impact- Manage and support Azure infrastructure across dev, QA, staging, and production
- Maintain operational health of Static Web Apps, Container Apps, PostgreSQL, Storage Accounts, SignalR, Service Bus, Azure AI Foundry, Azure Arc, and related services
- Ensure resources are provisioned, configured, monitored, maintained, and retired per company standards
- Support environment setup for new products, customers, and integrations
- Identify and resolve infrastructure issues affecting performance, reliability, availability, or security
- Build and maintain Terraform modules and environment configurations
- Ensure infrastructure changes are version-controlled, peer-reviewed, tested, and approved
- Manage Terraform state, workspaces, variables, secrets, and deployment workflows
- Detect and resolve drift between Terraform and deployed Azure resources
- Standardize naming, tagging, resource group structure, environment isolation, and module patterns
- Build, maintain, and troubleshoot GitHub Actions workflows for application and infrastructure deployments
- Support CI/CD pipelines across multiple SaaS products and environments
- Implement promotion flows from dev to QA to staging to production
- Add deployment safeguards: environment protection rules, approvals, rollback procedures, validation checks, release gates, and audit trails
- Manage pipeline secrets, service principals, managed identities, and deployment credentials
- Improve build and deployment reliability, speed, and traceability
- Operate and monitor Azure AI services, including Azure AI Foundry and Speech-to-Text workloads
- Support production operations for LLM integrations and AI-enabled product features
- Monitor AI service availability, latency, quota usage, token consumption, API failures, throttling, and cost
- Help define operational standards for AI workloads: access control, logging, alerting, failover, usage governance, and provider disruption handling
- Partner with engineering to troubleshoot AI service issues, integration failures, degraded model responses, or provider-side disruptions
- Support secure handling of AI secrets, endpoints, keys, managed identities, and private network access
- Implement and maintain monitoring with Azure Monitor, Log Analytics, Application Insights, and related tools
- Build dashboards for infrastructure, application, database, messaging, storage, AI service, and deployment health
- Configure alerts for availability, latency, errors, resource saturation, queue depth, failed jobs, failed deployments, database health, quota exhaustion, and cost anomalies
- Improve signal quality by reducing noise and ensuring alerts are actionable
- Participate in production incident response for infrastructure, deployments, integrations, and platform services
- Triage and resolve issues across Azure services, CI/CD, Terraform, networking, databases, messaging, and AI integrations
- Create and maintain runbooks for common operational issues
- Support root cause analysis and post-incident reviews
- Implement preventive actions after incidents to improve reliability
- Help define severity levels, escalation paths, response expectations, on-call processes, and production support procedures
- Implement cloud security best practices across Azure environments
- Manage Azure RBAC, managed identities, service principals, Key Vault access, and least-privilege permissions
- Secure GitHub Actions workflows, deployment credentials, environment secrets, and production access
- Support secret rotation, certificate management, and secure configuration management
- Enforce network security via private endpoints, firewalls, IP restrictions, and environment-specific access rules
- Support audit and compliance readiness for SOC 2, ISO 27001, or similar frameworks
- Support Azure PostgreSQL operations: backups, restores, performance monitoring, connection limits, HA, and capacity planning
- Monitor and maintain Azure Storage Accounts, lifecycle policies, access controls, backup strategy, and usage trends
- Support Azure Service Bus operations: queue/topic monitoring, dead-letter handling, retry behavior, and throughput
- Support SignalR operational health, connection metrics, scaling behavior, and related production issues
- Monitor Azure spend across products, environments, services, and customers where applicable
- Implement tagging standards to support cost allocation by product, environment, customer, or business unit
- Build cost dashboards, budget alerts, anomaly detection, and recurring cost reviews
- Identify underutilized resources and recommend right-sizing opportunities
- Review AI service costs, LLM and token usage, STT usage, storage growth, database sizing, and environment costs
- Recommend savings plans, reservations, scaling rules, lifecycle policies, or shutdown schedules
- Define and maintain backup and recovery procedures for critical cloud services
- Test database restores and validate backup reliability
- Help define RTOs and RPOs for production systems
- Support disaster recovery planning for SaaS products and customer-facing services
- Improve resilience through scaling rules, failover patterns, health checks, synthetic monitoring, and production readiness reviews
- Create and maintain CloudOps documentation, runbooks, deployment guides, and environment standards
- Define standards for naming, tagging, logging, alerting, access control, Terraform structure, GitHub Actions patterns, and production changes
- Document procedures for cloud services, CI/CD workflows, AI services, and incident response
- Enable engineering teams with reusable patterns, templates, and self-service guidance
Requirements
What you’ll need- 7+ years of hands-on experience operating production workloads in Microsoft Azure
- Strong experience with Terraform and infrastructure as code
- Experience building and maintaining CI/CD pipelines using GitHub Actions
- Experience with containerized workloads, preferably Azure Container Apps or similar
- Experience with Azure Monitor, Log Analytics, and Application Insights
- Experience with Azure PostgreSQL or similar managed relational databases
- Strong understanding of Azure networking, DNS, identity, RBAC, managed identities, Key Vault, and security best practices
- Experience troubleshooting production incidents across infrastructure, deployments, networking, and cloud services
- Comfortable scripting in Bash, PowerShell, Python, or similar
- Strong documentation, communication, and cross-functional collaboration skills
Benefits
Comp & perks- Competitive salary commensurate with experience
- Opportunities for career advancement and professional development
- Experience collaborating with a diverse, global team within a remote work setting