Description
About US :
Univlane is an AI-first SaaS platform redefining how universities engage, convert, and support students worldwide. Backed by the decades-long expertise of KC Overseas Education Pvt. Ltd., we combine deep domain knowledge with modern AI engineering to solve one of the worlds highest-volume, highest-intent communication challenges.
As a Founding Engineer, you will be among the first 35 core engineers shaping the product, architecture, culture, and engineering standards from ground zero (01).
What Problem Do We Solve
Many universities and study-abroad agencies struggle with high volume of enquiries, delayed responses, manual workload and inconsistent communication. Univlane aims to automate and standardize that ideally improving lead capture, reducing drop-offs, and increasing throughput.
For global education, where students come from diverse backgrounds, multilingual and culturally intelligent communication helps, Univlane tries to address that.
Roles & Responsibilities
- Build, optimise, and scale backend services using Node.js, TypeScript, NestJS.
- Architect backend systems, APIs, and microservices for high performance and reliability.
- Design efficient data models, storage solutions, and caching layers for performance.
- Own end-to-end feature delivery architecture / development / deployment / monitoring.
- Improve system availability, reliability, and observability through monitoring & logging tools.
- Collaborate closely with product, frontend, design, and founding leadership teams.
- Take deep ownership of code quality, reviews, testing, and deployment processes.
- Mentor future team members and shape the engineering culture at Univlane.
What We Are Looking For
- 4-7 years of backend development experience (Tier-1 talent preferred)
- Strong hands-on expertise in Node.js, Express or NestJS, JavaScript/TypeScript
- Solid understanding of API design, REST, microservices, authentication, security, rate limiting.
- Strong experience with databases (MongoDB or PostgreSQL) and query optimization.
- Good knowledge of queues (RabbitMQ/Kafka), caching (Redis), containerization (Docker).
- Ability to design scalable architectures and write clean, maintainable code.
- Experience with AWS/GCP or any cloud platform.
(ref:hirist.tech)
