Software Engineer III

CRG is recruiting for a client seeking a hands-on Software Engineer III to build and support cloud platforms and delivery systems. The role focuses on Azure, DevOps, and Databricks operations, resolving infrastructure and operational issues, guiding technical decisions, and mentoring engineers.

Responsibilities:

• Build and troubleshoot Azure DevOps YAML pipelines, service connections, variable groups, environments, approvals, artifacts, and test plans
• Manage Azure resources including Key Vault, AKS, Container Registry, virtual machines, networking, and identity access
• Design and maintain Infrastructure as Code using Terraform, Bicep, or ARM templates, including modules, state, plans, reviews, and safe deployments
• Develop operational automation using Bash or PowerShell and Python
• Deploy and troubleshoot Databricks workspaces and Asset Bundles, including Unity Catalog permissions, service-principal authentication, jobs, pipelines, compute, and deployment state
• Investigate incidents across application, pipeline, identity, network, and cloud-resource layers; determine root cause, assess impact, and own resolution
• Apply reliable DevOps practices for automation, change control, rollback, access governance, and cost management
• Explain technical risks and decisions clearly, coordinate with developers and administrators, and document operational procedures
• Influence architectural decisions, drive technical initiatives, and mentor engineers

Requirements:

• 12+ years of software engineering experience
• Strong hands-on experience with Azure DevOps, Azure platform operations, Infrastructure as Code, CI/CD, Git, and operational troubleshooting
• Practical experience with Microsoft Entra ID, service principals, managed identities, RBAC, secrets, and least-privilege access
• Experience with Databricks operations, including workspaces, Asset Bundles, Unity Catalog, jobs, pipelines, and compute
• Strong Bash or PowerShell skills and the ability to read and write Python for operational tooling
• Clear communication and effective collaboration across technical teams and stakeholders
• Datadog or comparable monitoring, logging, alerting, and dashboard experience
• Confluent Cloud Kafka experience
• Experience with Spark, Lakeflow, Delta Lake, or Auto Loader
• Azure networking experience, including private endpoints, DNS, firewalls, and managed storage
• Experience improving CI throughput and test strategy