Senior Azure Cloud Engineer(Data Services focused)/ Remote
Role- Senior Azure Cloud Engineer Location - Remote but must be willing to work in PST hrs.
- 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 DevOps.
- 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.
Requirements
- 10+ years of professional experience in IT infrastructure, cloud engineering, DevOps, 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 PowerShell 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.
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