Back End Developer

19 hours ago

Mumbai, Maharashtra, India Fomogo - Hire Fast with AI Full time ₹ 15,00,000 - ₹ 25,00,000 per year

This opening is for Nova (not Fomogo).

While the role is posted via Fomogo's page, you'll be joining the
Nova team
, building AI teammates that help businesses protect revenue, prevent losses, and eliminate repetitive work.

About Nova:

Nova is building AI teammates that help businesses protect revenue, prevent invisible losses, and free teams from repetitive work. We focus on high-impact areas like reconciliations, contract reviews, and compliance tracking; turning manual tasks into ROI-driven automation that empowers people to do their best work.

About the Role

We're looking for a Product Engineer III – Backend who is outstanding at building highly scalable, blazing-fast APIs. You'll be responsible for designing and implementing backend systems that serve as the foundation for Nova's AI teammates. This role demands an architectural mindset: designing APIs and services that aren't just functional, but performant, resilient, and built to handle massive scale.

Role Responsibilities

  • Design and build scalable APIs in

    (Fastify / NestJS / Express) with performance at the core.
  • Model and optimize data in
    PostgreSQL
    .
  • Implement queuing and streaming systems (
    Kafka, NATS, RabbitMQ
    , or equivalents) to enable reliable event-driven workflows.
  • Drive API architecture for high-scale use cases — multi-tenant workloads, real-time processing, and enterprise integrations.
  • Build robust CI/CD pipelines and automate deployments to AWS/GCP with zero downtime.

Required Qualifications

  • 4–6 years of backend engineering experience
    , with a proven track record of designing APIs for scale.
  • Deep expertise in + TypeScript; strong grasp of async patterns and modern frameworks.
  • Solid experience with PostgreSQL (schema design, performance tuning, transactions) and at least one caching system (Redis/Memcached).

Preferred Qualifications

  • Familiarity with queuing/streaming platforms (Kafka/NATS/RabbitMQ).
  • Strong fundamentals in distributed systems, concurrency, and API performance tuning.

Good to Have

  • Experience with Python, especially for ML-related integrations.
  • Hands-on experience with Docker, Kubernetes, AWS/GCP, and CI/CD workflows.

What you will get:

A chance to build from 0 to 1 the AI backbone of a product targeting a $100M+ ARR opportunity.

End-to-end ownership and visibility, your code will run in production, not in notebooks.

A front-row seat to shape how agentic AI gets applied to real-world, high-stakes problems.

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