Senior Integration Architect

6 days ago

Jamnagar, Gujarat, India beBeeIntegration Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
Job Title

We seek a seasoned integration expert to spearhead the design of scalable architectures and microservices-based solutions.

The ideal candidate will have a deep understanding of integration architecture, web-scale application development, and data architecture, particularly in designing solutions that meet business needs.

Key Responsibilities:

  • Design and govern enterprise-level architectures using Front End Engineering and Cloud Native Architectures
  • Define integration blueprints that connect digital systems with core industry platforms via REST, FHIR, HL7, or API gateways.
  • Architect microservices-based solutions with appropriate separation of concerns, scalability, and maintainability.
  • Guide data architecture decisions, including real-time integration, event-driven design, and use of cloud-native data stores.
  • Assess legacy modernization paths, define transformation roadmaps, and ensure alignment to enterprise standards.
  • Collaborate with cross-functional engineering and DevOps teams to ensure architectural alignment through delivery.

The successful candidate would work closely with solution leaders and client stakeholders to define target architectures, create scalable systems, and lead integration of digital front-end systems with core data platforms.

Required Skills & Qualifications
  • Minimum 12 years of IT experience, with at least 5 years in enterprise architecture or lead solution architecture roles
  • Strong knowledge of scalable front-end and backend development :

Frontend : React.js, Redux, Webpack, Responsive UI

Backend : Java, Spring Boot, REST APIs

  • Expertise on various integration approaches such as micro services, messaging, queuing, API patterns, etc.
  • Strong knowledge across a variety of skills, including but not limited to, J2EE, .Net, Oracle, DB2, and MS/SQL.
  • Experience with data architecture patterns operational data stores, data lakes, near-real-time streaming, data APIs
  • Working knowledge of cloud platforms (AWS, Azure, GCP) and container-based architectures (Docker, Kubernetes).

LSA certification is mandatory.

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