🛠 Tech Stack

💼 About This Role

You'll join a partner company building cloud-native SaaS platforms that accelerate clinical research and improve patient outcomes. You'll design scalable systems handling large-scale medical imaging data and AI/ML workflows for regulated healthcare solutions.

🎯 What You'll Do

• Design and develop scalable cloud-native systems for AI-powered medical imaging.
• Implement microservices for medical imaging data processing and AI/ML workloads.
• Build DICOM-compliant data pipelines for ingestion, processing, and storage.
• Integrate AI/ML models into production imaging workflows.

📋 Requirements

• Post-qualification experience in software engineering in healthcare or medical imaging.
• Strong experience building cloud-native SaaS applications and distributed systems.
• Proficiency in backend development using Java, Python, or C#.
• Experience integrating AI/ML models into production systems.

✨ Nice to Have

• Knowledge of DICOM standards and medical imaging workflows.
• Experience with HL7 FHIR protocols.
• Familiarity with regulated software development environments (FDA, GxP, ISO 13485).

🎁 Benefits & Perks

• 🏥 Comprehensive medical insurance for employee and dependents.
• 💰 Provident fund contribution (12%) and gratuity scheme.
• 📚 Internal learning and career development programs.
• 💡 Exposure to cutting-edge AI, cloud, and healthcare technologies.
• 🌍 Inclusive and equal-opportunity work environment.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4Hiring Manager Round· 45 min
5. 5Offer· 1 week