Platform Engineer Intern

About Kedara
Millions of families struggle to coordinate aging care - locally or even remotely. We're simplifying aging care for families bringing all the information to a one care hub with a personalized AI Assistant that becomes a trusted partner for caregivers — to coordinate care and reduce burnout. Our founding team scaled Speech AI at BabbleLabs (acquired by Cisco) with deep enterprise and conumer products. We're a small team of AI-native product, AI/ML, and senior care experts.

The Role
We're looking for a final-year Computer Science/Engineering student or a recent graduate to join our engineering team as a Platform Engineering Intern. You'll get hands-on exposure to cloud infrastructure, deployment, and app support at an early-stage startup — working alongside engineers who'll mentor you and give you real ownership as you grow into it.

What you'll work on

• Help deploy and monitor services across our cloud stack (GCP: Cloud Run, Firestore; AWS: ECS, RDS, S3) under guidance from senior engineers
• Support the team with CI/CD pipelines, logging, and basic uptime monitoring
• Contribute to observability work — tracking user sessions and app experience metrics
• Help keep infrastructure setup and processes documented so the team can move faster
• Pick up secure coding basics — secrets management, access controls — as part of the work

What we're looking for - 6 month contract to start

• Final-year student pursuing B.E./B.Tech (or equivalent) in Computer Science/Engineering, with an interest in infrastructure and backend systems
• Comfortable with Python, and has built or contributed to at least one backend project
• Exposure to a cloud platform (GCP, AWS, or Azure) through projects, coursework, or certifications
• Basic familiarity with Docker and REST APIs — coursework or self-taught is fine
• Comfortable with Git and collaborative development workflows
• Clear written communication — you'll work async with a remote team
• Exposure to PostgreSQL or another relational database
• Familiarity with AI-assisted coding tools (e.g. Claude Code) to speed up development
• Exposure to WebSockets, Redis, or async task queues

How to apply

Use the link https://forms.gle/8kMUyiS69137p3Em9 to apply.