Senior Software Engineer

We’re on a mission to change the future of clinical research. At Nimbus Data Systems , 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 Implement scalable, multi-tenant SaaS components using cloud-native services. Design and develop microservices for medical imaging data processing and AI workloads. Implement auto-scaling and load balancing features for medical imaging datasets. Develop API endpoints and service integrations with clinical trial systems. Support platform scalability for concurrent clinical trials and imaging workflows. AI-Driven Medical Imaging Platform Development Implement AI/ML model integrations for medical image analysis, including genAI, computer vision and deep learning algorithms. Develop systems for real-time and batch processing of medical imaging data (DICOM, NIfTI, etc.). Implement DICOM-compliant data processing pipelines. Develop efficient DICOM image preprocessing workflows for AI model preparation. Support AI model deployment and monitoring in production environments. Medical Image Viewer Integration & Workflow Design Develop integration components for third-party medical imaging viewers (OHIF, Cornerstone.js, or proprietary systems). Implement APIs and SDK components for clinical trial management system integration. Develop collaboration features for multi-site clinical trials. Create visualization components for AI-generated insights and annotations. Ensure responsive design implementation for various devices and browsers. Security & Compliance Implementation Implement security features compliant with FDA 21 CFR Part 11, GxP, and medical device regulations. Develop audit trails, electronic signatures, and data integrity controls. Implement encryption, role-based access control, and authentication features. Support disaster recovery and backup solutions for clinical trial data. Database & Data Management Implement high-performance database solutions for DICOM metadata storage and retrieval and AI model outputs. Develop solutions for the storage, analysis, access, and movement of large-scale medical imaging datasets. Implement data processing pipelines for large-scale DICOM datasets. Develop real-time data streaming components for live DICOM image analysis. Implement data governance features ensuring data quality and privacy protection. Performance Optimization & Monitoring Implement monitoring and observability components for SaaS platform performance. Optimize system performance for medical imaging file processing and transfer. Implement caching strategies and CDN integration for global access. Develop automated alerting and performance monitoring features. Support SLA compliance and platform reliability initiatives. Technical Development & Support Contribute to technology stack decisions for medical imaging and AI workloads. Support adoption of emerging technologies in medical imaging and AI/ML. Participate in code reviews and maintain development best practices. Support coding standards, development processes, and quality assurance. Collaborate in technical architecture reviews and system design decisions. Innovation Take an active interest in 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): Knowledge of containerization and serverless architectures Knowledge of message queuing systems for high-throughput medical data processing Knowledge of DICOM networking protocols (DICOM C-STORE, C-FIND, C-MOVE) and DICOMweb services Knowledge of security frameworks, encryption, and identity management solutions Understanding of medical imaging modalities (CT, MRI, X-Ray, PET, Ultrasound) and 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.) Good technical communication skills with ability to work effectively in cross-functional teams Ability to communicate technical concepts to clinical and business stakeholders Ability to balance technical requirements with business objectives 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 speci