Senior Cloud & Automation Engineer

Verinext•Seattle, WA

About The Position

We are seeking a Senior Cloud & Infrastructure Automation Engineer with deep expertise in Terraform, Microsoft Azure, and Databricks to design, automate, and evolve cloud infrastructure and data platforms. This role sits at the intersection of cloud infrastructure, identity-driven provisioning, and data integration, and requires both hands-on execution and the ability to influence better technical approaches across the organization. The ideal candidate brings strong engineering fundamentals, modern automation practices, and the flexibility to help shape how infrastructure and data platforms are provisioned, integrated, and delivered at scale. This is a contract opportunity with one of Verinext's clients. Candidates must be comfortable working West Coast hours. Azure Cloud Engineering Architect, deploy, and manage enterprise-grade Azure infrastructure and services Implement and optimize Azure networking, security, identity, and governance components Partner with architecture and platform teams to improve cloud design patterns and operational models Infrastructure as Code & Automation (Terraform) Design and maintain Infrastructure as Code (IaC) using Terraform for repeatable, scalable deployments Build and enhance CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent) to automate infrastructure provisioning and changes Introduce and evaluate alternative automation approaches to improve speed, reliability, and maintainability Data Platform Integration (Databricks) Support provisioning and integration of Databricks environments within Azure Enable secure and reliable data movement in and out of Databricks Collaborate with data engineering teams to align infrastructure automation with analytics and data platform needs

Requirements

Senior-level experience with Terraform in production Azure environments
Strong hands-on experience with Microsoft Azure, including compute, networking, security, and identity
Experience supporting or integrating Databricks within Azure-based platforms
Proven experience building and maintaining CI/CD pipelines for infrastructure and platform deployments
Experience working with Jira for project tracking and delivery reporting
Ability to think beyond standard implementations and propose improved or alternative technical solutions

Nice To Haves

Experience with SailPoint identity provisioning and access workflows
Experience with Boomi for integration and data orchestration
Exposure to JD Edwards (JDEdwards) environments or ERP integrations
Familiarity with DevSecOps and cloud security automation practices

Responsibilities

Architect, deploy, and manage enterprise-grade Azure infrastructure and services
Implement and optimize Azure networking, security, identity, and governance components
Partner with architecture and platform teams to improve cloud design patterns and operational models
Design and maintain Infrastructure as Code (IaC) using Terraform for repeatable, scalable deployments
Build and enhance CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent) to automate infrastructure provisioning and changes
Introduce and evaluate alternative automation approaches to improve speed, reliability, and maintainability
Support provisioning and integration of Databricks environments within Azure
Enable secure and reliable data movement in and out of Databricks
Collaborate with data engineering teams to align infrastructure automation with analytics and data platform needs
Support cloud provisioning workflows integrated with SailPoint, enabling identity-driven access and automation
Track and report delivery progress and project work using Jira
Participate in agile ceremonies, technical design reviews, and cross-team planning
Document infrastructure standards, automation workflows, and best practices