Description

Key Responsibilities

• Application Architecture: Design scalable, secure, cloud-native applications using Angular 19, Java, Spring Boot, REST APIs, and AWS services.
• Frontend Architecture: Define reusable Angular components, UI architecture, state management, performance optimization, and frontend integration patterns.
• Backend & Microservices: Architect Java/Spring Boot services, API integrations, asynchronous processing, and event-driven solutions.
• AWS Cloud Architecture: Design cloud infrastructure leveraging AWS services such as ECS/EKS, Lambda, S3, API Gateway, RDS, and IAM.
• Medical Imaging & Algorithm Workbench: Define integration patterns supporting medical imaging workflows, algorithm execution, data processing, and AI/ML model lifecycle management.
• System Integration: Design secure interfaces between enterprise applications, imaging repositories, data platforms, and algorithm services.
• Technical Leadership: Guide development teams, review solution designs, establish coding standards, and ensure architecture consistency.
• DevOps & Security: Collaborate with DevOps teams on CI/CD pipelines, containerization, automated deployments, monitoring, and secure development practices.
• Architecture Governance: Produce solution architecture diagrams, technical design documents, API specifications, and architecture decision records.
• Cross-functional Collaboration: Work closely with business analysts, data scientists, QA, validation teams, and product owners to translate business requirements into technical solutions.

Required Qualifications

• 8–12+ years of experience in application development, solution architecture, or enterprise application design.
• Strong hands-on expertise in Angular (preferably Angular 19), TypeScript, Java, Spring Boot, and RESTful APIs .
• Proven experience designing microservices-based, distributed, and cloud-native applications.
• Strong experience with AWS architecture , including compute, storage, networking, security, and deployment services.
• Experience with Docker, Kubernetes, CI/CD pipelines, Git, and automated testing frameworks.
• Understanding of application security, OAuth2/OIDC, authentication, authorization, and API security.
• Experience leading technical design discussions, architecture reviews, and development teams.
• Strong understanding of Agile/Scrum delivery methodologies and enterprise SDLC practices.
• Excellent problem-solving, stakeholder management, and communication skills.

Preferred Qualifications

• Experience working in life sciences, biotechnology, healthcare, or medical imaging domains.
• Familiarity with DICOM, imaging workflows, and imaging data management .
• Experience integrating applications with Python-based AI/ML services, model inference APIs, or data science platforms.
• Exposure to AI/ML Algorithm Workbench environments and scientific computing workflows.
• Understanding of regulated software development, GxP, software validation, and data integrity requirements.
• Experience with both greenfield application development and modernization of legacy enterprise platforms

Key Skills

Education

Bachelor's degree