Integration Engineer

Job Description

As an Integration and Automation Engineer in the Technology Architecture team at Basware IT, you'll build and run the integration fabric that connects our enterprise systems — directly impacting how reliably data and processes flow across finance, operations, and customer-facing platforms. You'll design, build, and support integrations on Azure Integration Services, standing up the APIs, event-driven interfaces, and automations other teams depend on, while helping shape this into a dedicated Integration and Automation practice as it grows. You're hands-on by nature: comfortable owning a build end-to-end — writing the code, securing it, load-testing it, and troubleshooting it in production — and picking up new tools fast, including AI-assisted development, without needing everything taught.

•Integration development — design and build integrations on Azure Integration Services — Logic Apps, Azure Functions, Service Bus, and Event Grid/Event Hubs — that are reliable, maintainable, and reusable.

•API management — build and manage APIs end-to-end through Azure API Management, including policies, versioning, throttling, and lifecycle, exposing them securely to internal and external consumers.

•Security & authentication — implement OAuth2 / OpenID Connect, JWT validation, and Managed Identities across integrations and APIs, and manage secrets and certificates through Azure Key Vault.

•Event-driven & asynchronous processing — design pub/sub and queue-based patterns using Service Bus topics/subscriptions and Event Grid/Event Hubs for decoupled, scalable system-to-system communication.

•Data handling & transformation — map and transform data between JSON, XML, and flat-file formats, handle schema evolution, and build validation and quality checks into pipelines rather than bolting them on afterward.

•Resilient API & integration design — build in retry policies, circuit breakers, idempotency, dead-letter handling, and graceful degradation so integrations fail safely and recover on their own wherever possible.

•Reliability & observability — monitor integrations in production using Azure Monitor, Application Insights, and Log Analytics; troubleshoot failures and drive fixes that improve stability over time.

•CI/CD & source control — build and maintain deployment pipelines in Azure DevOps (ARM/Bicep) and work disciplined Git workflows so releases are repeatable and low-risk.

•AI-assisted development — use tools like GitHub Copilot and Claude as part of your everyday workflow — for design, coding, testing, and documentation — while owning the quality of everything you ship.

•Collaboration — work closely with Enterprise Data, Solution Architecture, and AI Enablement so integrations are built with the wider platform in mind, not in isolation.