{"schemaVersion":"jobsearcher.job.v1","id":"793aac266e06cb17dc799474","url":"https://jobsearcher.com/jobs/793aac266e06cb17dc799474","canonicalUrl":"https://jobsearcher.com/jobs/793aac266e06cb17dc799474","title":"Cloud Integration & API Architect","description":"Position - Cloud Integration & API Architect Location - United States/Canada Duration - Long Term Main Responsibilities Work closely with the Enterprise Architecture team, application teams, data teams, and project delivery teams on enterprise integration initiatives. Review interface and integration design documents; provide timely feedback and meet agreed project SLAs for review and approval. Maintain and evolve integration standards, approved patterns, reference architectures, and implementation guidelines. Guide teams in implementing API-first, event-driven, messaging, EDI, file-transfer, and real-time integration patterns. Support Azure API Management standards, API products, security policies, lifecycle governance, and developer portal enablement. Guide integrations across SAP, Salesforce, Azure, AWS-hosted applications, third-party platforms, and enterprise data services. IoT integration: review device connectivity, YUI/IoT platform integration, telemetry ingestion, event streaming, and downstream data flows. Establish end-to-end logging, monitoring, analytics, traceability, and operational visibility across interfaces. Support GitHub repository standards, branching, CI/CD pipelines, reusable assets, and integration-platform enablement. Technical Knowledge Microsoft Certified: Azure Solutions Architect Expert or Microsoft Certified: Azure Developer Associate – required. Deep enterprise integration and application re-architecture experience Microservice architecture experience Azure API Management, Logic Apps, Functions, Service Bus and Event Hubs SAP , Salesforce and EDI / B2B integration API-first, microservices, event-driven, pub/sub, messaging, and real-time architectures IoT integration using Azure Monitor, Log Analytics, distributed tracing, and end-to-end observability Hybrid integration with Azure, AWS systems, SaaS platforms, and third-party applications","company":"Quantum Integrators","rawCompany":"quantum integrators","city":"Myrtle Point","state":"OR","isRemote":true,"isActive":false,"createdAt":"2026-10-12T10:57:02.566Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cloud Integration & API Architect","description":"Position - Cloud Integration & API Architect Location - United States/Canada Duration - Long Term Main Responsibilities Work closely with the Enterprise Architecture team, application teams, data teams, and project delivery teams on enterprise integration initiatives. Review interface and integration design documents; provide timely feedback and meet agreed project SLAs for review and approval. Maintain and evolve integration standards, approved patterns, reference architectures, and implementation guidelines. Guide teams in implementing API-first, event-driven, messaging, EDI, file-transfer, and real-time integration patterns. Support Azure API Management standards, API products, security policies, lifecycle governance, and developer portal enablement. Guide integrations across SAP, Salesforce, Azure, AWS-hosted applications, third-party platforms, and enterprise data services. IoT integration: review device connectivity, YUI/IoT platform integration, telemetry ingestion, event streaming, and downstream data flows. Establish end-to-end logging, monitoring, analytics, traceability, and operational visibility across interfaces. Support GitHub repository standards, branching, CI/CD pipelines, reusable assets, and integration-platform enablement. 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