Azure Cloud Engineer

Azure Cloud Engineer

12 Month Contract (Possible extension

Location: Hybrid (Client located in San Jose, CA)

Work Shift: Monday through Friday (8:00AM – 5:00PM PST)

• Must be able to work on W-2 basis
• Must be able to work PST hours

About the Role

A global automobile manufacturing company has an immediate, long-term contract opportunity for a Technical Solution Architect in San Jose, CA. You’ll help deliver robust Azure cloud infrastructure and data platform solutions that support advanced data ingestion, analytics, and operational workflows. This is a hands-on, senior engineering role with DevSecOps, compliance, and privacy focus.

Job Description

Platform Ownership

• Lead the evolution of Azure cloud infrastructure, Databricks data platform, CI/CD pipelines, and operational tooling.
• Support and improve data processing, analytics, and validation workflows.
• Ensure platforms support privacy, compliance (GDPR, data residency, retention), and audit readiness.

Domain Areas

Azure Cloud Infrastructure: Manage multi-subscription, multi-region environments using Terraform.

Databricks Data Platform: Oversee workspace configuration, Spark pipelines, job automation, cluster policies, and key vault integrations.

Engineering Platform: Drive Azure DevOps pipelines, approvals, release management, and containerized app deployments.

Security/Compliance/Privacy: Implement least-privilege practices, secure secrets handling, private networking, audit evidence, and privacy-first data design.

Core Skills

Cloud Infrastructure & Platform Engineering

• Design/operate Azure across multiple subscriptions/environments.
• Maintain networking: VNets, subnets, NSGs, endpoints, DNS zones, route tables, service endpoints.
• Manage Azure services: Web Apps, Container Registry, Storage, PostgreSQL, Key Vault, Entra ID.
• Author reusable Terraform modules and enforce IaC standards.

Databricks & Data Platform

• Architect Databricks workspaces, clusters, SQL warehouses, and permissions.
• Build/maintain Spark and Databricks pipelines for large-scale data processing.
• Optimize data workflows for performance, cost, and governance.

DevOps Ownership & Delivery

• Own delivery: multi-stage YAML pipelines, service connections, branch policies.
• Standardize release and deployment management.
• Containerize and deploy applications using Docker.

Security, Compliance, & Privacy

• Design for secure-by-default operation: network segmentation, private connectivity, secret isolation.
• Prepare for security assessments and support audits/remediation.
• Drive GDPR, data minimization, retention, and other privacy requirements.

Reliability & Operations

• Triage and resolve issues: infrastructure, pipelines, apps, authentication, networking.
• Right-size compute/storage, optimize cost, and uphold operational hygiene.
• Maintain documentation, runbooks, incident writeups, and engineering standards.

Collaboration

• Work cross-functionally with engineering, cybersecurity, privacy, legal, and governance teams.
• Mentor peers on Terraform, Azure, Databricks, and DevSecOps practices.

Required Qualifications

• 5+ years in cloud infrastructure, platform engineering, DevOps, or distributed systems.
• Production ownership of Azure/Databricks in multi-environment/multi-region setups.
• Experience in regulated, data-intensive enterprise environments.
• Security, audit, and vulnerability remediation for cloud platforms.
• Privacy-aware platform design (e.g., GDPR, cross-border constraints).

Technical Skills

Microsoft Azure: App Service, Container Registry, Key Vault, PostgreSQL, Storage, VNets, NSGs, private endpoints/DNS, route tables, Entra ID, app registrations, RBAC.

Terraform: module authoring, multi-environment variables, state management, azurerm/Databricks providers.

Databricks: workspace admin, Unity Catalog, jobs, policies, secret scopes.

Apache Spark: pipeline design, performance tuning.

Containers: Docker authoring, registry usage, Azure Web Apps for Containers.

Azure DevOps: YAML pipelines, service connections, branch policies.

Security & Compliance: threat modeling, secrets, vulnerability management, evidence collection, incident readiness.

Programming: Python, SQL, Bash.

Git: branching, code reviews.

Streaming/Event Systems: Kafka or equivalent.

Preferred Skills (Not Required)

• Kubernetes/AKS
• Observability: Prometheus, OpenTelemetry, Azure Monitor, Log Analytics
• PIM, policy-as-code, container/compliance scanning, FinOps/Azure Cost Management
• Familiarity with ISO 27001, SOC 2, NIST, CIS Benchmarks, or automotive cybersecurity/data governance frameworks

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience)

You will receive the following benefits:

Medical Insurance & Health Savings Account (HSA)

401(k)

Paid Sick Time Leave

Pre-tax Commuter Benefit

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