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Enterprise Integration Architect - ( 70% Angular + 30% Backend) - Remote

MSYS Inc.United States🇺🇸United StatesPosted 26 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
DockerMicroservicesSQLAWSMLOpsAngularAzureBigQueryDatadogGoogle CloudGrafanaGraphQLJavaKafkaKubernetesLLMPrometheusPythonRESTRedisTerraformTypeScriptgRPC

Job Description

Title:Enterprise Integration Architect - ( 70% Angular + 30% Backend) - Remote
Location
:Remote
Length:Long term
Restriction:w2 or c2c
 
 
 
Description:

**** Webcam interview; *** Long term project ***Linkedin Must*** Remote ****

Job Description:

The Role

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.

What You''ll Own

  • 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

Requirements

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.

Nice to Have

  • BigQuery/Spanner/Bigtable
  • Production GenAI (not PoCs)
  • Cursor, Copilot, Vertex AI, Claude Code
  • Healthcare or regulated industry
  • MLOps
  • Enterprise security architecture
  • Datadog, Prometheus, Grafana

Don''t Apply If

  • You''re deep in one layer only
  • You can''t defend your own recent designs under technical scrutiny
  • Your integration work was implementation, not architecture

Why

  • Real architectural authority at a large enterprise.
  • High bar, real impact.

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