Senior Product Engineer

5 days ago

Mumbai, Maharashtra, India Nova Full time
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.

While Node.js/Type Script is our core stack, Python experience is a strong advantage as Nova's ML components increasingly interact with backend systems.

What you will work on: Design and build scalable APIs in Node.js/Type Script (Fastify / Nest JS / Express) with performance at the core.

Model and optimize data in Postgre SQLImplement queuing and streaming systems (Kafka, NATS, Rabbit MQ, or equivalents) to enable reliable event-driven workflows.

Introduce caching systems (Redis, Memcached, or similar) to deliver low-latency, high-throughput APIs.

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.

Ensure observability and reliability: metrics, tracing, logging, and proactive alerting.

Work closely with ML and frontend teams to expose backend capabilities cleanly and efficiently.

Provide technical mentorship to Product Engineer I/II teammates and influence best practices.

What we are looking for:4–6 years of backend engineering experience, with a proven track record of designing APIs for scale.

Deep expertise in Node.js + Type Script; strong grasp of async patterns and modern frameworks.

Solid experience with Postgre SQL (schema design, performance tuning, transactions) and at least one caching system (Redis/Memcached).

Familiarity with queuing/streaming platforms (Kafka/NATS/Rabbit MQ).

Bonus: experience with Python, especially for ML-related integrations.

Strong fundamentals in distributed systems, concurrency, and API performance tuning.

Hands-on with Docker, Kubernetes, AWS/GCP, and CI/CD workflows.

You don't just build APIs; you design systems that stay fast, reliable, and cost-efficient at scale.

What you will get: A chance to build from 0 to 1 the AI backbone of a product targeting a $100 M+ 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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