Senior Software Engineer, Medical Imaging
Perceptive Inc.
CloudGraphQLJavaJavaScriptMicroservicesNoSQLPython
Principal Software Engineer, Medical Imaging
Perceptive Inc.
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇮🇳 India
Visit company websiteJob Level
Lead
Tech Stack
CloudGraphQLMicroservicesRay
About the role
- Supporting Activities Cloud-Native SaaS Architecture Design
- Design and implement scalable, multi-tenant SaaS architectures using cloud-native services.
- Architect microservices-based systems optimized for medical imaging data processing and AI workloads.
- Design secure API-first services for seamless integration with clinical trial systems.
- Ensure platform scalability to support multiple concurrent clinical trials and imaging workflows.
- Lead the integration of AI/ML models for medical image analysis, including genAI, agentic ai, computer vision and deep learning algorithms.
- Design and implement systems for real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.).
- Implement comprehensive audit trails, electronic signatures, and data integrity controls.
- Architect security frameworks including encryption at rest and in transit, role-based access control, and secure authentication.
- Design disaster recovery and business continuity solutions for critical clinical trial data.
- Design high-performance database architectures optimized for medical imaging metadata and AI model outputs.
- Optimize system performance for large medical imaging secure file processing and transfer.
- Mentor team members to foster their professional, technical, and domain growth and development.
- Drive adoption of emerging technologies in medical imaging, AI/ML, and cloud computing.
Requirements
- Deep understanding of DICOM standard implementation, including DICOM conformance statements and IHE integration profiles
- Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and their specific DICOM implementations
- Knowledge of message queuing systems for high-throughput medical data processing
- Knowledge of clinical trial processes, regulatory requirements, and quality management systems
- Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.) using DICOM datasets
- Knowledge of containerization and serverless architectures
- Proficiency in designing and implementing APIs (e.g. RESTful, GraphQL) and real-time communication protocols
- Advanced-level knowledge of DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb services
- Knowledge and experience with enabling AI/ML solutions within imaging platforms, as well as MLOps practices
- Advanced knowledge of security frameworks, encryption, and identity management solutions
- Strong stakeholder management skills with ability to communicate complex technical concepts to product and business teams
- Experience leading cross-functional teams in regulated environments
- Bachelor's Degree (Master's or PhD’s preferred) in Computer Science, Biomedical Engineering, Software Engineering, or related technical discipline
- Additional certifications in cloud platforms preferred
- Medical device software development training or certification preferred
Benefits
- Medical plan for you and your dependents.
- Personal Accident Insurance
- Life Insurance
- Critical illness cover
- Internal growth and development programs & trainings
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
cloud-native architecturemicroservicesAPI designAI/ML integrationreal-time processingDICOMencryptiondatabase architecturecontainerizationserverless architecture
Soft skills
mentoringstakeholder managementcommunicationleadership
Certifications
Bachelor's DegreeMaster's DegreePhDcloud platform certificationsmedical device software development certification
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