Location: SF Bay Area / Remote.

About Kedara

Millions of families struggle to coordinate elder care. We're building an AI-powered Care Coordination System with personalized, voice-AI Assistant that becomes a trusted partner for caregivers—assisting them with managing the care coordination burden and reducing burnout.

Our founders scaled Speech AI and NLP at MindMeld and BabbleLabs (both acquired by Cisco). We're a small team of product, AI/ML, and senior care experts.

The Role

We are looking for a talented AI-native backend/ platform engineer to own the server-side foundation of the Kedara app. The scope spans three areas — app backend, cloud infrastructure, and real-time audio transport. We are open to one person who covers all three, or individuals who specialize in specific areas. Tell us in your application which areas you cover.

What you will build

Secure, Scalable, Reliable App backend

• Review and improve upon the work done by full-stack engineer - for user onboarding, care plan management, task tracking, and caregiver profiles - for scalability, reliability, secure controls and access to data for both individual users and agents.
• Multi-cloud Secure handling of personal and health-related data — privacy by design from the start
• API integration support for the AI inference layer — streaming LLM responses, retries, fallbacks, latency optimization
• Observability for end to end to app experience to track user experience, sessions, interactions

Cloud infrastructure & DevOps

• Deploy and manage services across GCP (Cloud Run, Firestore) and AWS (ECS, RDS, S3, Secrets Manager) — multi-cloud comfort is essential
• Manage startup cloud credits across GCP, AWS, and Nvidia Inception — cost is a first-class constraint
• CI/CD pipeline, logging, alerting, and uptime monitoring
• Security hardening — secrets management, API rate limiting, access controls
• Keep infrastructure documented and reproducible

Stretch responsibility — Real-time audio transport

• Build the transport layer connecting the React Native mobile app to the backend voice pipeline — WebRTC or optimized WebSockets