Urgent Hiring || Senior Azure Cloud Engineer with Azure Data Services || Fremont, CA (Onsite)

[Irfan]

Local candidates is first preference.

Position: Senior Azure Cloud Engineer with Azure Data Services

Location: Fremont, CA (Onsite)

Duration: Long Term (6+ Months)

 

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 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.