Senior Software Engineer - NodeJS
About Us
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.
Job Description
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.
What You Will Work On
Core Backend Engineering
Design and build scalable backend services and REST/GraphQL APIs using
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
Ownership and Architecture
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
What You Bring
4+ years of backend engineering experience with strong 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.