If you’re an experienced QA Automation Engineer passionate about Cybersecurity, Data Loss Prevention (DLP), API Testing, Automation Frameworks, and Performance Testing, Nightfall AI is offering an exciting opportunity to work on one of the world’s leading AI-powered Data Loss Prevention (DLP) platforms.
This role is ideal for engineers who enjoy finding edge cases, breaking applications, building automation frameworks, and ensuring enterprise-grade security products remain reliable and scalable.
📌 Job Overview
🏢 Company: Nightfall AI
💼 Position: QA Engineer
📍 Location: India (As per company hiring process)
💻 Work Mode: As per company policy
👨💻 Experience: 5–6 Years
🎓 Qualification: BE / B.Tech / MCA Preferred
⭐ Domain Preference: Data Security / DLP / Cybersecurity
🏢 About Nightfall AI
Nightfall AI is a leading cybersecurity company specializing in AI-powered Data Loss Prevention (DLP) solutions. The company helps organizations automatically detect, classify, and protect sensitive information across cloud applications, SaaS platforms, collaboration tools, APIs, and enterprise environments.
The platform integrates with modern cloud ecosystems and provides real-time monitoring, automated remediation, and enterprise-grade data security solutions trusted by organizations worldwide.
Working at Nightfall AI provides engineers the opportunity to solve challenging security problems while contributing to cutting-edge AI-powered cybersecurity products.
🌟 Why This Role is Great for Experienced Professionals
This position offers an excellent opportunity to work at the intersection of Automation Engineering, AI, Cybersecurity, and Enterprise SaaS.
Benefits include:
• Work on one of the fastest-growing AI-powered cybersecurity platforms.
• Exposure to enterprise-scale cloud applications.
• Opportunity to build robust automation frameworks from scratch.
• Hands-on experience with Windows, macOS, Linux, APIs, CI/CD, and cloud infrastructure.
• Work alongside highly experienced product engineers and security experts.
• Opportunity to influence product quality across AI-driven security solutions.
• Excellent career growth into Senior SDET, QA Architect, Security QA Engineer, or Engineering Manager roles.
• Exposure to modern AI technologies, DLP systems, SaaS platforms, and cloud-native architectures.
💼 Key Responsibilities
As a QA Engineer, you will:
• Become a product expert with deep knowledge of customer workflows.
• Analyze product requirements and prepare comprehensive test cases.
• Perform end-to-end testing across Windows, macOS, Web Applications, APIs, and SaaS platforms.
• Build and maintain automated testing frameworks.
• Execute regression, functional, integration, and end-to-end testing.
• Perform API validation and backend verification.
• Reproduce customer issues and assist engineering teams with debugging.
• Conduct load testing and stress testing for new features.
• Identify product vulnerabilities, policy bypasses, and data leakage scenarios.
• Create detailed bug reports and validate bug fixes.
• Collaborate closely with Product Managers and Software Engineers.
🛠 Skills Required
Successful candidates should possess expertise in:
Automation Testing
• Playwright
• Selenium (Good to Have)
• Postman
Programming
• Python
• Shell Scripting
• JavaScript
API Testing
• REST APIs
• API Automation
• JSON
• HTTP Methods
Operating Systems
• Windows Testing
• macOS Testing
• Linux
DevOps
• Jenkins
• CircleCI
• CI/CD Pipelines
Performance Testing
• JMeter
• Gatling
Defect Management
• Jira
• Linear
Additional Skills
• SaaS Application Testing
• Endpoint Testing
• DLP Testing
• Security Testing
• Automation Framework Design
• Root Cause Analysis
Nice to Have
• Kernel-mode component testing.
• Data Security or Cybersecurity experience.
• AI-powered application testing.
• Cloud Security knowledge.
💰 Expected Salary Range
Nightfall AI has not officially disclosed compensation. Based on current market trends for similar cybersecurity product companies:
| Experience | Estimated Annual CTC |
|---|---|
| 5–6 Years QA Engineer | ₹25 – ₹45 LPA |
| High-performing candidates | ₹45 LPA+ (depending on skills and interview performance) |
| Actual compensation depends on technical expertise, current salary, location, and interview performance. |
📝 Expected Interview Rounds
Candidates can generally expect:
• Resume Screening
• HR Discussion
• Technical Assessment
• Automation Coding Round
• QA Design Interview
• Product & Security Testing Interview
• Hiring Manager Discussion
• HR & Compensation Discussion
Interview topics may include:
• Automation Framework Design
• Playwright
• API Automation
• Python / JavaScript
• Windows/macOS Testing
• Linux
• CI/CD Pipelines
• Performance Testing
• Security Testing
• DLP Concepts
• SaaS Testing
• Debugging Scenarios
📚 Preparation Tips
To maximize your chances:
• Practice Playwright automation extensively.
• Revise Python or JavaScript programming fundamentals.
• Strengthen REST API testing concepts using Postman.
• Review HTTP methods, authentication, and API validation.
• Learn Windows, macOS, and Linux troubleshooting basics.
• Practice SQL and backend validation.
• Understand CI/CD workflows using Jenkins or CircleCI.
• Study performance testing concepts using JMeter or Gatling.
• Read about Data Loss Prevention (DLP), cybersecurity fundamentals, and SaaS application architecture.
• Prepare real-world examples demonstrating automation improvements, production issue debugging, framework design, and complex defect investigations.
📄 Resume Tips
A strong ATS-friendly resume should include:
• Professional Summary focused on QA Automation and Security Testing.
• Total years of experience.
• Programming languages.
• Automation frameworks.
• API testing expertise.
• Windows/macOS/Linux testing experience.
• Performance testing projects.
• CI/CD implementation experience.
• Security or DLP-related work (if applicable).
• Quantifiable achievements such as:
- Increased automation coverage.
- Reduced regression execution time.
- Improved release quality.
- Reduced production defects.
- Framework optimization.
- Performance improvements.
Customize your resume for the QA Engineer role by highlighting automation, scripting, security testing, and cloud application experience.
📩 How to Apply
👉 Application Link: Click Here
Before applying:
• Update your resume with relevant QA Automation experience.
• Highlight Data Security or DLP experience if applicable.
• Include automation frameworks, scripting languages, API testing, CI/CD, and performance testing expertise.
• Mention significant achievements related to automation, security validation, or enterprise SaaS testing.
If you’re applying through a referral, send:
• Updated Resume
• Full Name
• Total Experience
• Current Company
• Current CTC
• Expected CTC
• Notice Period
• Contact Number
• Preferred Location
🎯 Final Thoughts
Nightfall AI offers an outstanding opportunity for experienced QA professionals who want to work on cutting-edge AI-powered cybersecurity products. If you have expertise in Automation Testing, Playwright, Python, API Testing, Windows/macOS Testing, CI/CD, and Performance Testing, this role provides exposure to enterprise-scale AI platforms, cloud security, and modern automation engineering. With excellent career growth, challenging technical work, and the opportunity to help secure sensitive data for organizations worldwide, this is an excellent next step for experienced QA engineers looking to specialize in cybersecurity and AI-driven quality engineering. 🚀
