Principal Software Engineer, medical Imaging

We're on a mission to change the future of

clinical research. At Perceptive, we help the

biopharmaceutical industry bring medical

treatments to the market, faster.

Our mission is to change the world

but to do this, we need people like you.

Apart from job satisfaction, we can offer you:

HEALTH:

• Medical plan for you and your dependents.

• Personal Accident Insurance

• Life Insurance

• Critical illness cover

WEALTH:

• Salary structure and Flexi basket

• Provident fund of 12%

• Gratuity scheme

YOURSELF: Internal growth and development programs & trainings

Key Responsibilities:

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.
• Implement auto-scaling, load balancing, and distributed computing strategies for handling large medical imaging datasets.
• Design secure API-first services for seamless integration with clinical trial systems.
• Ensure platform scalability to support multiple concurrent clinical trials and imaging workflows.

AI-Driven Medical Imaging Platform Development

• 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.).
• Design and implement DICOM-compliant data processing pipelines.
• Design and implement efficient DICOM image preprocessing workflows.
• Support deployment and monitoring in production environments.

Medical Image Viewer Integration & Workflow Design

• Architect and implement integration layers for third-party medical imaging viewers (OHIF, , or proprietary systems).
• Design and Implement APIs and SDKs for seamless integration with existing clinical trial management systems.
• Implement real-time collaboration features for multi-site clinical trials.
• Develop custom visualization tools for AI-generated insights and annotations.
• Ensure cross-platform compatibility and responsive design for various devices and browsers.

Regulatory Compliance & Security Architecture

• Design and implement systems compliant with FDA 21 CFR Part 11, GxP, HIPAA, and international medical device regulations.
• 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.
• Ensure compliance with medical data privacy regulations across multiple jurisdictions.

Database & Data Architecture for Medical Imaging

• Design high-performance database architectures optimized for medical imaging metadata and AI model outputs.
• Implement solutions for the storage, analysis, access, and movement of large-scale medical imaging datasets.
• Design efficient data partitioning and indexing strategies for multi-dimensional medical data.
• Architect real-time data streaming solutions for live imaging analysis.
• Implement data governance frameworks ensuring data quality and lineage tracking.

Performance Optimization & Monitoring

• Design and implement comprehensive monitoring and observability solutions for SaaS platform performance.
• Optimize system performance for large medical imaging secure file processing and transfer.
• Implement caching strategies and CDN solutions for global clinical trial site access.
• Establish SLAs and implement automated alerting systems for platform reliability.

Technical Leadership

• Engage in technical decisions on technology stack selection for medical imaging and AI workloads, in collaboration with Solution Architect.
• Mentor team members to foster their professional, technical, and domain growth and development.
• Establish and enforce coding standards, development processes, and quality assurance practices via code reviews, inspection, and discussion.
• Join technical architecture reviews and provide guidance on complex system design decisions.
• Lead by example, demonstrating strong technical leadership skills and fostering a collaborative and innovative team environment.

Innovation

• Drive adoption of emerging technologies in medical imaging, AI/ML, and cloud computing.
• Monitor the market to gather intelligence on emerging technologies.
• Share knowledge and insights with others.

Other

• Carryout any other reasonable duties as requested.

Functional Competencies (Technical Knowledge/Skills):

• 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 architecturesProficiency 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
• Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and imaging clinical workflows
• Knowledge of clinical trial processes, regulatory requirements, and quality management systems
• Familiarity with AI applications in medical imaging (computer-aided diagnosis, image segmentation, etc.)
• Excellent technical leadership and mentoring capabilities
• Strong stakeholder management skills with ability to communicate complex technical concepts to product and business teams
• Experience leading cross-functional teams in regulated environments
• Proven ability to balance technical excellence with business objectives and regulatory requirements

Behavior Competencies:

• Accountability
• Adaptability
• Customer focus
• Robust
• Decision Making
• Business Acumen
• Results orientation
• Time Management
• Willingness to learn
• Team collaboration

Experience, Education and Certifications:

• Deep and wide-ranging post-qualification software development expertise, with leadership in complex projects involving medical imaging or healthcare technology
• Deep expertise in cloud platforms with a strong understanding of serverless and scalable architectures, modern cloud-native services, and integration with AI/ML services
• Experience with DICOM image processing workflows, anonymization techniques, and metadata preservation
• Experience with medical image viewer technologies, PACS integration, and DICOM routing workflows
• Experience with medical imaging standards (DICOM, HL7 FHIR) and specialized DICOM processing libraries (pydicom, DCMTK, GDCM)
• Extensive experience with DICOM standard implementation, including DICOM parsing libraries, tag manipulation, and compliance validation
• Expertise in database design for both relational and NoSQL systems
• Proven experience designing and developing cloud-native SaaS platforms at enterprise scale
• Demonstrated experience with AI/ML integration in production environments, preferably in medical imaging
• Experience with regulated software development (FDA, GxP, ISO and validation processes
• Strong background in medical imaging file formats, processing libraries, and viewer integrations
• Experience with clinical trial management systems and electronic data capture (EDC) platforms
• Advanced proficiency in Java, Python, or C# for backend development
• Experience with modern frontend frameworks (React, Angular) for medical imaging applications
• Hands-on experience with cloud services: compute, storage, databases, AI/ML services, and monitoring tools
• Experience with CI/CD pipelines, infrastructure as code, and DevOps practices
• Experience with monitoring and observability tools
• Experience with medical image viewer technologies and PACS integration
• 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
• English: Fluent

Come as you are.

We're proud to be a Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.