Integration Engineer (F2F Interview) (Must be local to MD) — Bethesda, MD

W2 Role.. Must be local to MD ||

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.

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

• 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.

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.

• 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.

• 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.

• 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.

• 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.