Senior Software Engineer - NodeJS

Coursefinder.ai is the AI-powered study abroad platform built by KC Overseas Education — one of India's largest and most established overseas education groups. The platform serves students, counsellors, and partner universities across 85,000+ courses globally, with intelligent automation driving discovery, shortlisting, and application workflows.

The engineering team is in scale-up mode; building for reliability, product depth, and AI-native architecture.

We are looking for a Senior Backend Engineer who thinks in systems, writes production-grade code, and can own backend services from design to deployment. You will work with product, frontend, and data teams to build the APIs, workflows, and AI integrations that power the core student and counsellor journey on the platform.

If you have spent the last few years writing clean APIs and calling it a day. We expect engineers at this level to hold architectural opinions, push back on bad abstractions, and care about what happens in production.

• Design and build scalable backend services and REST/GraphQL APIs using Node.js

• Own data modelling and query performance on PostgreSQL

• Build and maintain complex, stateful workflows — enrollment pipelines, matching logic, multi-step application flows

• Set and enforce standards for code quality, security, and system reliability

• Own services end to end — design, implementation, deployment, monitoring

• Build fallback mechanisms and safeguards around AI-dependent flows

• Contribute to backend architecture decisions and engineering standards

• Participate in code reviews and raise the quality bar for the team

• 4+ years of backend engineering experience with strong Node.js depth

• Production PostgreSQL experience — schema design, indexing, query tuning

• Experience building and shipping RESTful APIs at scale

• Hands-on integration of LLM APIs into production systems

• Strong system design fundamentals — you have opinions on service boundaries, data contracts, and failure modes

• Comfort working in ambiguous, high-ownership environments.