Junior QA Automation Engineer | Engineering Careers | Revscale AI

Careers at Revscale®

Junior QA Automation Engineer

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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

Help build the guardrails for a fast-moving AI-driven platform. You’ll support release stability through automation, test coverage planning, and system behavior validation.

Responsibilities

  • Write, maintain, and optimize E2E test suites using Playwright, Cypress, or similar.
  • Implement CI-integrated regression checks using GitHub Actions.
  • Help triage test failures and ensure smooth deployment pipelines.
  • Collaborate with QA Lead and developers to define QA coverage goals

Requirements

  • 1–2 years of automation QA experience in a product team.
  • Experience writing tests in JavaScript or TypeScript for browser-based apps.
  • Strong grasp of test lifecycle, assertion strategies, and DOM testing.
  • Comfort working in sprint cycles, Git-based repos, and CI workflows.
  • Problem-solving focused: can isolate flaky tests, investigate root causes, and debug async flows.