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-quick 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.
Responsibilities
CI/CD Pipeline Management &GitOps;: Build and maintain automated pipelines (GitHub Actions/Jenkins) to deploy updates to our mobile apps and backend services without downtime.
AI Model Deployment: Work with AI researchers to containerize and deploy deep learning models (TensorFlow/PyTorch) using Docker and Kubernetes.
Cloud Infrastructure: Manage and optimize our cloud presence (GCP/AWS/Azure),
focusing on GPU-backed instances for model inference and high-availability storage for medical imaging.
Security & Compliance: Implement rigorous security protocols to ensure compliance with India’s Digital Personal Data Protection (DPDP) Act and ABDM standards. This includes managing SSL/TLS, IAM roles, and data encryption at rest/transit.
Monitoring & Reliability: Set up centralized logging and monitoring (Prometheus, Grafana, or ELK stack) to track service health and latency across different geographies.
Edge & Mobile Ops: Support "offline-first" sync mechanisms, ensuring that data packets from rural areas are ingested reliably once a connection is re-established.
Requirements
Containerization: Strong hands-on experience with Docker and Kubernetes (K8s).
Cloud Platforms: Proficiency in AWS (EC2, S3, RDS, Lambda), GCP or Azure.
Scripting: Expert in Bash/Shell and Python for automation.
Infrastructure as Code (IaC): Familiarity with Te
📌 DevOps Engineer (Ajmer)
🏢 Eklavya
📍 Ajmer
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