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# TELECOMMUTE Enterprise Integration Architect

- **Company:** MSYS Inc.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Engineering, Continuous Integration, Distributed Systems, Fault Tolerance, Interoperability, Python (Programming Language), Node.Js, NoSQL, Redis, SQL Databases, Data Streaming, TypeScript, Enterprise Application Integration, Google Cloud, Large Language Models, Backend, AngularJS, Kubernetes, Apache Kafka, Graphql, Front End Software Development, Api Design, Terraform, Grpc, Docker, Golang, Microservices
- **Published:** August 27, 2026
- **Apply:** https://www.dice.com/job-detail/c90e7648-6143-4ba3-83f6-8fbb9bf8c7b9

## About the Role

Experience: 14-15+ years

 * 15+ years hands-on, enterprise-scale distributed systems
 * Integration architecture you designed and governed - not implemented from someone else''s spec

Technical Stack:

 * Front-end: Angular, TypeScript
 * Backend: Java, Python, Go, or Node - one deeply, others functionally
 * Data: SQL, NoSQL, Redis, event streaming
 * Cloud-native on AWS, Azure, or Google Cloud Platform - Kubernetes, Docker, Terraform
 * CI/CD tied to enterprise release cycles
 * Hands-on with several of: REST, GraphQL, gRPC, Kafka, B2B integration

Assessment:

 * Expect to walk through your own recent architecture in depth - decisions, tradeoffs, what you''d do differently.

## Description

You own integration architecture end to end - whiteboard to production to governance. Hands-on, not management. Full stack, not one layer. If you''re an Angular architect or a Java architect with cloud exposure, this isn''t your role., * Integration architecture across AWS/Azure/Google Cloud Platform, on-prem, and third-party systems

 * Enterprise integration patterns: API-first, microservices, event-driven, real-time and batch
 * Data flow, interoperability, and fault tolerance on mission-critical platforms
 * Testing and quality governance across integrated solutions
 * Engineering across every layer - front-end, services, data, infrastructure
 * GenAI/LLM integration in production
 * Mentorship and cross-team architectural influence


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