QA Automation Engineer III

Proofpoint; India; On-site; INR 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness days

Global collaboration

Job summary

Proofpoint is seeking a seasoned QA Engineer focusing on AI-powered quality engineering and test automation. You will design robust test strategies, expand automation, and leverage Generative AI/LLMs to improve test case generation and defect detection.

The role emphasizes building scalable automated frameworks, integrating tests into CI/CD, and collaborating across Engineering, Product, and DevOps to ensure release quality and reliability.

Qualifications

• 5+ years of experience in Software Quality Assurance and test automation.
• Strong experience with automation frameworks and programming languages such as Python, Java, or JavaScript/TypeScript.
• Experience with API, UI, integration, and end-to-end testing.
• Strong understanding of CI/CD, Git, and modern software development practices.
• Hands-on experience using Generative AI/LLMs or AI-powered development/testing tools.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and execute comprehensive test strategies for product features and releases.
• Build and maintain scalable automated test frameworks and regression suites.
• Leverage AI/LLMs to generate test cases, identify edge scenarios, analyze requirements, and improve test coverage.
• Explore and implement AI-driven QA tools and workflows to reduce manual testing effort and improve productivity.
• Integrate automated tests into CI/CD pipelines and improve test execution efficiency and reliability.
• Identify, troubleshoot, and track defects, working closely with Engineering, Product, and DevOps teams.
• Drive shift-left testing and early defect detection throughout the software development lifecycle.
• Monitor automation quality, reduce flaky tests, and continuously improve test reliability.
• Contribute to release qualification, quality gates, and continuous improvement of QA processes.
• Analyze production/customer issues and implement preventive testing strategies.
• Stay current with emerging AI technologies and identify opportunities to apply them to software quality engineering.

Skills

5+ years QA experience

Python

Java

JavaScript/TypeScript

API testing

UI testing

End-to-end testing

CI/CD

Git

Generative AI/LLMs

QA tooling

Tools

Docker

Kubernetes

GitHub Actions

AWS/Azure/GCP

Job description

About Us

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work

At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges and opportunities, Accountable for results and best in class outcomes, Visionary in future focused problem-solving, Exceptional in execution and impact, Corporate Overview In today’s cyber threat landscape, protection starts with people. At Proofpoint, that simple truth fuels our passion for protecting users, the data they create, and the systems they rely on from a uniquely people-centric perspective. And we’re just as passionate about finding the right people to help us in that mission.

When you join Proofpoint, you’re helping to:

• Build and enhance our proven security platform
• Blend innovation and speed in a constantly evolving cloud environment
• Analyze new threats and offer deep insight through data-driven intel
• Collaborate with customers to help solve their toughest security challenges

About the Team

QA Engineer with a strong focus on AI-driven quality engineering and test automation to help improve product quality, accelerate testing, and drive the adoption of AI across the QA lifecycle. The role will be responsible for designing and implementing robust test strategies, expanding automation coverage, and leveraging Generative AI/LLMs and AI-powered tools to improve test case generation, test execution, defect detection, and overall QA efficiency.

Key Responsibilities

• Design, develop, and execute comprehensive test strategies for product features and releases.
• Build and maintain scalable automated test frameworks and regression suites.
• Leverage AI/LLMs to generate test cases, identify edge scenarios, analyze requirements, and improve test coverage.
• Explore and implement AI-driven QA tools and workflows to reduce manual testing effort and improve productivity.
• Integrate automated tests into CI/CD pipelines and improve test execution efficiency and reliability.
• Identify, troubleshoot, and track defects, working closely with Engineering, Product, and DevOps teams.
• Drive shift-left testing and early defect detection throughout the software development lifecycle.
• Monitor automation quality, reduce flaky tests, and continuously improve test reliability.
• Contribute to release qualification, quality gates, and continuous improvement of QA processes.
• Analyze production/customer issues and implement preventive testing strategies.
• Stay current with emerging AI technologies and identify opportunities to apply them to software quality engineering.

Requirements

• 5+ years of experience in Software Quality Assurance and test automation.
• Strong experience with automation frameworks and programming languages such as Python, Java, or JavaScript/TypeScript.
• Experience with API, UI, integration, and end-to-end testing.
• Strong understanding of CI/CD, Git, and modern software development practices.
• Hands-on experience using Generative AI/LLMs or AI-powered development/testing tools.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience building AI-assisted or AI-powered QA solutions.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker/Kubernetes and cloud-native applications.
• Experience integrating automation into CI/CD pipelines such as GitHub Actions.
• Experience testing security, data, SaaS, or enterprise applications.
• Familiarity with AI agents, prompt engineering, RAG, or LLM evaluation/testing.

Why Proofpoint

Proofpoint Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We’re a customer-focused and driven-to-win organization with leading-edge products - and many exciting reasons to join our team. We believe in hiring the best the brightest and cultivating a culture of collaboration and appreciation. We are a diverse, multinational company with opportunities in all functions, and leaders that welcome candidates from all walks of life.

Our Culture

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives.

Benefits

• Competitive compensation
• Comprehensive benefits
• Career success on your terms
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities

Equal Opportunity Employer

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

We encourage applications from individuals of all backgrounds, experiences, and perspectives.

Accommodation

If you need accommodation during the application or interview process, please reach out to [e-mail].