Azure Cloud Engineer

🕒 May 28

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Embrace Software Inc

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

💸 Finance

📚 Education

Software • Finance • Education

Embrace Software Inc. is a business investment company that specializes in acquiring and building world-class software businesses across various industrial sectors. With a focus on mission-critical software, Embrace aims to add value to its portfolio of companies, which range from small and medium-sized businesses to Fortune 500 firms. The company supports its acquired businesses by providing resources and operational expertise to foster growth and enhance customer satisfaction.

📋 Description

• 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, and Azure Arc • Ensure resources are provisioned, 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 • Support scalable provisioning of new SaaS environments using reusable templates • 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 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, and Application Insights • 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 • Partner with engineering to define SLIs, SLOs, and production health metrics • 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, and scaling behavior • 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

• 5+ 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

• Competitive salary commensurate with experience • Opportunities for career advancement and professional development • Experience collaborating with a diverse, global team within a remote work setting