Software Engineer III

Build and support the cloud platforms and delivery systems that keep our client’s complex enterprise technology moving. As a hands-on senior individual contributor, you’ll solve challenging infrastructure and operational problems, guide technical decisions, and help teams deliver reliable solutions across Azure, DevOps, and Databricks., * 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.

• 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.

Nice-to-Have

• 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.

Bring your hands-on expertise to a role where you can lead complex technical work and help teams deliver with confidence-apply today.