Senior Software Engineer

New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
GraphQLPythonJavaKubernetesC#Problem SolvingRESTful APIsDevOpsMicroservicesDebuggingDistributed Systems

Requirements

  • Significant post-qualification experience in software engineering, preferably in healthcare or medical imaging domains
  • Strong experience building cloud-native SaaS applications and distributed systems
  • Proficiency in backend development using Java, Python, or C#
  • Hands-on experience with REST APIs, GraphQL, and real-time communication systems
  • Strong understanding of microservices architecture and scalable system design
  • Experience integrating AI/ML models into production systems, preferably in imaging or healthcare use cases
  • Knowledge of DICOM standards, medical imaging workflows, and related protocols (HL7 FHIR is a plus)
  • Experience with cloud platforms and serverless/scalable architectures
  • Familiarity with containerization, Kubernetes, and modern DevOps practices
  • Experience with relational and NoSQL database design
  • Understanding of regulated software development environments (FDA, GxP, ISO 13485 preferred)
  • Strong debugging, performance optimization, and problem-solving skills
  • Ability to communicate effectively with technical and non-technical stakeholders
  • Collaborative mindset with strong ownership and accountability

Responsibilities

  • Design and implement scalable, multi-tenant SaaS architectures using cloud-native services
  • Develop microservices for medical imaging data processing and AI/ML workloads
  • Build and maintain APIs and integrations with clinical trial and healthcare systems
  • Implement DICOM-compliant data pipelines for ingestion, processing, and storage of imaging data
  • Integrate AI/ML models, including computer vision and generative AI, into imaging workflows
  • Develop real-time and batch processing systems for large-scale medical imaging datasets
  • Support integration with medical imaging viewers (e.g., OHIF, Cornerstone.js) and visualization tools
  • Implement security, compliance, and regulatory requirements (FDA, GxP, 21 CFR Part 11)
  • Build monitoring, observability, and performance optimization systems for SaaS platforms
  • Work on database design and large-scale data management for imaging and AI outputs
  • Participate in architecture reviews, code reviews, and engineering best practices
  • Contribute to system reliability, scalability, and production support initiatives
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