Careers at Revscale®

Senior Backend Developer

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Job Description

Full Time

Engineering

About Revscale AI

Revscale AI is a pioneering AI relationship intelligence platform that empowers businesses to nurture and manage relationships at scale. By leveraging predictive analytics and AI-driven insights, Revscale AI automates sales workflows, identifies and engages prospective customers, and optimizes lead generation strategies. Our platform blends large language models (LLMs), enrichment, and workflow orchestration to transform raw data into revenue.

We are now expanding into India, launching our core engineering team in Bangalore South to power our next phase of growth.

  • Location: ClayWorks Shankaraa
  • Model: Hybrid – Minimum 3 days/week in-office
  • Environment: Collaborative, execution-first, product-obsessed

Why Join Revscale AI?

  • We move fast: Weekly releases, real users, real feedback.
  • We ship ownership: You’re not executing tickets — you’re owning outcomes.
  • We learn deep: You’ll work with AI agents, job queues, campaign logic, and orchestration workflows.
  • We scale right: Performance, security, and fundamentals are part of every conversation — not afterthoughts.

Role Summary

Join us to build the orchestration layer for our agentic AI platform. You'll design secure and scalable services powering lead intelligence, workflow management, and third-party integrations.

Responsibilities

  • Build high-concurrency APIs with NestJS, TypeScript, and MongoDB/PostgreSQL.
  • Architect and maintain job queues, webhooks, and workflow schedulers.
  • Secure API endpoints with auth guards, RBAC, and input validation.
  • Collaborate with product teams to deliver low-latency, high-throughput backend systems.

Requirements

  • 2–4 years of experience in Node.js (NestJS preferred) and backend services.
  • Strong knowledge of MongoDB schema design, indexes, and data lifecycle patterns.
  • Hands-on with API security, data access controls, and request throttling.
  • Proficiency in data structures, algorithms, and designing systems under scale.
  • Experience with observability tools (e.g., Datadog, Prometheus) is a plus.