India bears one-third of the global oral cancer burden, yet 70% of cases are detected too late for effective treatment. Our mission is to deploy AI-powered screening tools as Digital Public Infrastructure (DPI). As a DevOps Engineer, you aren't just managing servers; you are building a resilient, secure, and lightning-fast pipeline that delivers AI diagnostics to the "last mile." Your work ensures that when a health worker captures a suspicious lesion image in a remote PHC, our systems are ready to process, store, and protect that data instantly.

TANUH, an AI Centre of Excellence at IISc, is dedicated to creating scalable, AI-driven solutions for non-communicable diseases. Our flagship project, Aarogya Aarohan, is an award-winning mobile-first, offline-ready tool that empowers frontline healthcare workers to detect early-stage oral cancer in real-time. We are looking for a passionate Full Stack Developer to help us scale this platform to a national level, impacting millions of lives across India. Why This Role Matters: The Indian Context Oral cancer is not just a medical challenge in India; it is a public health crisis. India accounts for nearly one-third of the global oral cancer burden, with approximately 140,000+ new cases diagnosed annually. The Late-Stage Crisis: Due to a lack of awareness and rural healthcare access, nearly 70% of cases in India are detected only at advanced stages (Stage III or IV). The Survival Gap: When detected early (Stage I), the 5-year survival rate is as high as 70–80%. In contrast, for late-stage detection, this drops drastically to less than 37%. Economic Impact: The cost of treating advanced-stage oral cancer is 42% higher than early-stage treatment, often pushing low-income families into a cycle of debt. Your Role: By building the backend infrastructure for the Aarogya Aarohan platform, you are directly enabling a "shift to the left"—moving diagnosis from expensive hospitals to the patient's doorstep via AI-powered screening. You are building the digital backbone that turns a smartphone into a life-saving diagnostic tool.

This is early-stage work where the product designer will shape how healthcare workers, clinicians, and programme administrators interact with AI enabled systems. You will be part of a small, cross-disciplinary team working at the frontier of AI for public good. The experiences designed here could share how AI integrates with public healthcare in India.