Azure CloudOps Engineer

Embrace Software Inc

CloudOps Engineer managing Azure infrastructure across multiple environments for AI-driven software solutions. Collaborating with engineering teams to ensure security, reliability, and scalability of platforms.

Posted 5/29/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AzureCloudDNSFirewallsPostgresPythonRTOSTerraformVault

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AzureTerraformCI/CDGitHub ActionsPostgreSQLBashPowerShellPythonAzure MonitorLog Analytics

Soft Skills

documentationcommunicationcross-functional collaboration