Azure Cloud Engineer - Remote​/Telecommute

Job Description

• Design, build, and support Azure Data Services, including Azure SQL, Cosmos DB, ADLS, Event Hub, Service Bus, Redis Cache, Microsoft Fabric, Azure Synapse, and associated data infrastructure.
• Develop and enhance Infrastructure-as-Code (IaC) using Terraform or Ansible for consistent, repeatable provisioning of data environments.
• Create and maintain CI/CD pipelines for infrastructure deployment, schema operations, patching automation, and environment updates using Azure Dev Ops.
• Provide expert-level troubleshooting for complex issues related to networking, identity, performance, connectivity, and data platform integration.
• Implement automations for backups, patching, DR workflows, configuration drift detection, and platform monitoring.
• Support AKS clusters for data microservices, operators, and related workloads, including scaling, storage classes, networking, and observability.
• Ensure security and compliance through Azure Policy, RBAC, Managed Identities, private endpoints, and data governance best practices.
• Optimize cloud resource usage through performance tuning, capacity planning, and cost analysis for data workloads.
• Collaborate with developers, data engineers, and security teams to ensure smooth delivery of data-related application requirements.
• Document technical procedures, automation workflows, and environment standards for easy handoff and operational continuity.

• 10+ years of professional experience in IT infrastructure, cloud engineering, Dev Ops, or data platform engineering.
• 6+ years of hands-on Azure engineering experience, with deep expertise in provisioning, securing, and supporting Azure Data Services.
• Demonstrated mastery in Terraform, Bicep, or Ansible for building scalable, modular IaC frameworks supporting complex data environments.
• Proficiency in Python, Bash, or Power Shell for building advanced automation, operational tooling, and integration scripts.
• Extensive experience with CI/CD pipelines for infrastructure and data service lifecycle management.
• In-depth understanding of Azure data services—including Azure SQL, Cosmos DB, ADLS, Event Hub, Service Bus, Synapse, Redis Cache, Key Vault, MS Fabric and related observability tooling.
• Strong architectural knowledge of enterprise cloud networking: VNETs, NSGs, firewalls, private endpoints, private DNS, routing, hybrid connectivity, and secure data access paths.
• Hands-on experience with Kubernetes/AKS, Helm, operators, storage classes, secrets management, and supporting data-related microservices at scale.
• Expertise with Azure Monitor, Prometheus, Grafana, and building dashboards/alerts for data workloads and cloud infrastructure.
• Solid understanding of cloud security and compliance frameworks (CIS, NIST, ISO 27001) and their practical implementation for data systems, encryption, and governance.
• Proven experience implementing identity and access controls using Azure AD, Conditional Access, RBAC, and Managed Identities.
• Demonstrated ability to lead cross-functional collaboration, influence architectural direction, and communicate technical decisions to both technical and executive stakeholders.