Senior Product Engineer

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:

Product Engineer III – Backend

While Node.js/TypeScript 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/TypeScript (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.

• 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 + 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).

• Familiarity with

  queuing/streaming platforms

  (Kafka/NATS/RabbitMQ).

• 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 $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.