DevOps Engineer

As BWE’s DevOps Engineer, you own how software gets built, tested, and released. BWE’s AI and Data teams are producing custom applications, agents, and integrations faster than they can safely deploy them, and this role is the delivery path: pipelines, packaging, environments, and the automation that makes releases repeatable, reversible, and auditable. You work across an Azure and Microsoft 365 environment in a regulated commercial real estate finance business, where every change needs a record. This is a builder’s role for an engineer who would rather automate a release than perform one.

Primary Responsibilities:

• Build and Release Engineering: Own the build, test, and release path for BWE’s custom applications and integrations so changes reach production on a predictable, repeatable cadence.

• CI/CD Pipelines: Build and maintain pipelines that lint, test, validate, and deploy application code and configuration, with automated quality gates ahead of production.

• Software Packaging and Deployment: Package and deploy custom applications and internal tooling across environments, including versioning, rollback, and release documentation.

• Environment Management: Provision and maintain development, test, and production environments, including configuration, secrets management, and promotion between environments.

• Infrastructure as Code: Define infrastructure and platform state declaratively, keep it in version control, and deploy it through an automated, peer-reviewed process.

• Source Control Standards: Establish and maintain Git workflow standards across BWE development work, including branching, pull request review, and release traceability.

• AI Application Delivery: Provide the delivery path for AI-developed applications, including deployment of agents, integrations, and MCP connectors into supported environments.

• Developer Enablement: Support the AI and Data teams in adopting source control, review, and deployment practices, and remove manual steps between working code and production.

• Platform Integration: Integrate systems through REST APIs, webhooks, and event-driven automation so data moves between platforms without manual re-entry.

• Pipeline Security: Implement code scanning, dependency, and software supply chain controls in the pipeline against standards set with Information Security.

• Observability: Instrument applications and pipelines with monitoring, alerting, and dashboards covering deployment health, failure rates, and time to recover.