Back
Tier-1 employer, metro location, and specialized healthcare platform skills moderate applicant density.
Healthcare-specific technologies (DICOM, FHIR) and regulated device experience limit transferability across industries.
Explicit 8–10 years plus mandatory C#, cloud, Kubernetes, DICOM/FHIR and regulated-experience requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead development of REST-based, microservice applications for the AzurionEye AI-enabled clinical data lake platform.
Design and develop scalable data ingestion, transformation pipelines, and a secure, high-performance data warehouse with operational monitoring.
Coach team members on best practices, conduct code reviews, optimize application performance, and collaborate cross-functionally for feature delivery.
8-10 years of software development/engineering experience including design, integration, testing, and maintenance.
Degree: BE/BTech or MTech in Computer Science, Engineering, IT, or equivalent.
Strong proficiency in C#, RESTful API design (Swagger/OpenAPI), microservices, containers (Docker/Kubernetes), AWS, and database management (MS SQL Server/PostgreSQL).
Experience with medical imaging standards DICOM, FHIR and working in regulated or medical device environments preferred but not strictly mandatory.
Experienced in architecting and operating cloud-native scalable data platforms in healthcare domain, especially involving medical imaging workflows.
Capable technical leader with expertise in microservices, CI/CD, DevOps practices, and Agile/SAFe methodology.
Able to lead and guide engineering teams on technical quality, risk mitigation, and innovation with strong interdisciplinary collaboration skills.