Integration Engineer

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. Must-have skills & experience Hands-on, production-grade experience building integrations on Azure Integration Services — Logic Apps, Azure Functions, Service Bus, and API Management. Practical experience building and securing APIs end to end, including OAuth2/OpenID Connect, JWT, API keys, and Managed Identities. Working knowledge of event-driven architecture — Event Grid and/or Event Hubs, pub/sub and queue-based messaging patterns. Strong grasp of data handling and transformation — JSON, XML, schema mapping, and building validation and error handling into the pipeline itself. Experience designing resilient, error-resistant APIs and integrations — retry logic, circuit breakers, idempotency, and dead-letter/exception handling — not just the happy path. Solid programming fundamentals (C#/.NET, Python, or JavaScript) applied to Azure Functions and custom integration logic. A demonstrated ability to learn new tools quickly, particularly AI-assisted development tools — our toolchain evolves fast, and curiosity matters as much as current skills. Hands-on experience with Claude and/or Azure AI tooling in a real development workflow is a strong plus. Strong written and spoken English communication skills, with the ability to work effectively across multicultural, globally distributed teams. Comfort operating independently in a small, growing team, with the flexibility to take on ambiguous problems. Nice to have Experience with Power Automate. SQL Server / T-SQL for data debugging, stored procedures, and integration troubleshooting. Exposure to Azure Data Factory or Databricks for data ingestion pipelines. Microsoft certification such as AZ-204 (Azure Developer Associate) or equivalent. Familiarity with Finance Technology and SaaS business Prior experience in an enterprise environment with multiple integrated systems. How we think about AI We value curiosity and a proactive willingness to explore AI-driven technologies, and we provide room to experiment and learn — AI capability is something we build, not just buy.