Position: Senior Integration Engineer
Location: Bethesda, MD ( Hybrid)
Duration: 6 months to hire
Position Overview
Seeking an experienced Integration Engineer to build, deploy, and support enterprise integrations, including workflows, custom APIs, connectors, and Model Context Protocol (MCP) servers and tools. This hands-on role owns assigned integrations throughout their lifecycle and provides practical feedback to the Director of Technology Architecture & Platforms on platform architecture and engineering improvements.
The role sits within Integration Engineering, one of three subgroups in the Digital Engineering Group alongside Application Engineering and Quality Engineering. Integration Engineering is responsible for all enterprise integrations across Azure Integration Services (AIS), Celigo, and any other new or ad hoc integration platforms.
Role Mandate
- Take hands-on ownership of integration delivery, data correctness, reliability, and production support.
- Build reusable integrations, APIs, and MCP capabilities that connect enterprise systems and support business processes.
- Use implementation and operational experience to help improve platform architecture, integration patterns, and engineering practices.
Key Responsibilities
Hands On Integration Delivery
- Design, build, configure, and troubleshoot integrations using Logic Apps Standard, Service Bus, Event Grid, Azure Functions, and Celigo integrator.io.
- Develop Celigo connections, flows, mappings, lookups, and JavaScript hooks, including scheduling, error handling, and secure connectivity.
- Implement API-led, event-driven, batch, file, and database integrations; define data mappings, transformations, validation, and synchronization behavior.
- Own integrations on additional or ad hoc platforms, document dependencies and support procedures, and recommend standardization or migration where appropriate.
API and Connector Development
- Build custom APIs, webhooks, adapters, and connectors where needed, using approved languages such as C#/.NET, Python, and JavaScript/TypeScript.
- Define OpenAPI contracts, schemas, versioning, authentication, authorization, pagination, rate-limit handling, and consistent error responses.
- Apply enterprise API standards and gateway controls, including Azure API Management where adopted, and maintain compatibility for consuming applications.
Key Responsibilities Continued
MCP and AI Integration Engineering
- Build and maintain MCP servers and tools that connect approved AI applications and agents to enterprise APIs, data, and integration workflows.
- Define tool descriptions, input and output schemas, validation, and error behavior; test tool discovery, execution, and client interoperability.
- Implement scoped access, protected downstream credentials, audit trails, and approved controls for operations that change data or trigger business processes.
- Maintain compatibility with supported MCP protocols and SDKs and document tool capabilities, permissions, dependencies, and operational requirements.
Platform Architecture Feedback and Engineering Practices
- Collaborate with the Director of Technology Architecture & Platforms on platform architecture, offering implementation-based feedback on runtime selection, scalability, security, reliability, maintainability, and cost.
- Help design and implement integration coding practices, reusable frameworks, workflow templates, connectors, and common error-handling patterns; document and support their adoption.
- Build prototypes to evaluate technical approaches and resolve implementation uncertainties before full development, including new platforms and integration capabilities.
- Work with architects to translate solution designs into integration designs, document tradeoffs, identify platform limitations, and recommend improvements or simplification.
Security Reliability and Production Operations
- Implement least-privilege access, managed identities where supported, approved credential stores, encryption, and secure network connectivity with cybersecurity and cloud teams.
- Apply data classification and handling requirements; minimize data movement and keep credentials and sensitive payloads out of logs, run histories, and message metadata.
- Build in timeouts, retries with backoff, duplicate prevention, dead-letter handling, and controlled replay; reconcile source and target records to detect missed or incorrect transactions.
- Implement monitoring, alerts, transaction correlation, and diagnostic logging; resolve production incidents, maintain recovery procedures, and address recurring failures and performance issues.
Testing Deployment and Cross Team Delivery
- Develop automated unit, contract, and integration tests; partner with Quality Engineering on end-to-end, performance, security, failure, and recovery testing.
- Use source control, CI/CD, configuration management, and infrastructure as code where applicable with Developer Experience; manage environment promotion, rollback, and release readiness.
- Coordinate with Application Engineering, data and AI teams, business owners, and vendors on interfaces and dependencies; maintain integration designs, catalog entries, ownership, and support documentation.