Proofpoint, Inc. logo

QA Automation Engineer

Job Overview

Location

Bengaluru, India - Remote

Job Type

Full-time

Category

Software Engineering

Date Posted

April 15, 2026

Full Job Description

đź“‹ Description

  • • QA Automation Engineer role focused on building automated tests using Python, contributing to scalable testing practices, and exploring AI-driven quality strategies to ensure high-quality software delivery at Proofpoint, a global leader in human- and agent-centric cybersecurity.
  • • Day-to-day responsibilities include developing and maintaining automated tests for APIs, AI providers, backend services, and end-to-end scenarios; integrating tests into CI/CD pipelines; executing manual and automated test cases; identifying and documenting bugs; participating in code reviews; and supporting AI-assisted testing initiatives.
  • • Join a global team guided by BRAVE core values (Bold, Responsive, Accountable, Visionary, Exceptional) at Proofpoint, which protects over 80 Fortune 100 companies and millions of organizations by safeguarding people, data, and AI agents across email, cloud, and collaboration tools.
  • • Opportunity to learn modern testing tools, automation frameworks, AI-driven quality strategies, and best practices in software quality while working alongside experienced engineers and QA professionals in a collaborative, inclusive, and growth-oriented environment.

Skills & Technologies

Python
Git
Linux
REST
Selenium
Remote
Degree Required

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About Proofpoint, Inc.

Proofpoint, Inc. provides cloud-based cybersecurity and compliance solutions that protect organizations against advanced threats, data loss, and digital risk. Its platform combines email security, threat intelligence, information protection, and user awareness training to defend corporate communications, cloud applications, and sensitive data across endpoints and collaboration tools. The company serves enterprises, government agencies, and educational institutions worldwide through a software-as-a-service model, leveraging machine learning analytics, sandboxing, and real-time threat detection to prevent phishing, malware, and insider threats while ensuring regulatory compliance and data governance.

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