QA Engineer

Nightfall AI (www.nightfall.ai) is the unified platform that prevents data leaks and enables secure collaboration by protecting sensitive data and controlling how it's shared. For decades, legacy data leak prevention (DLP) solutions have failed to adequately protect sensitive information. Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications, endpoints, and now generative AI. Nightfall AI is the first AI-native DLP solution. We leverage AI to achieve twice the accuracy with a fraction of the false positives that overwhelm security teams. Nightfall does this without disrupting modern work patterns. Our AI-native platform spans sensitive data protection across SaaS, email, data exfiltration prevention on SaaS, endpoints, and data encryption. Nightfall's Developer Platform provides an open, flexible environment for developers to integrate our data classification and protection capabilities anywhere, including establishing trust boundaries for AI model building and consumption.

Nightfall makes safeguarding sensitive data for every application simple and seamless. Organizations, from startups to global brands, trust Nightfall's software platform and APIs to discover, classify, and protect sensitive data.

Responsibilities

Be a product expert with a deep understanding of all customer scenarios.

• Analyze requirements/PRD and create test cases.
• Perform Web App & API end-to-end testing for all features and prepare test reports.
• Analyze test results, troubleshoot and report issues to the product engineering team.
• Find bugs, create detailed bug reports and verify fixes.
• Reproduce customer-reported issues and enable product engineers to debug.
• Define approaches and own load & stress testing of features.

Requirements

• 8-10 years of experience as a Software Quality/Automation Engineer.
• Ability to work in a fast-paced environment with minimal supervision.
• Ability to solve QA infrastructural problems and can scale it
• Able to work closely with Product Management and Product Engineering.
• Experience in scripting with any of the languages like shell, python, perl.
• Experience of SaaS/cloud-delivered/Web application Testing and API Testing.
• Understanding of Database concepts with ability to write SQL queries.
• Experience with various testing tools (Postman, Selenium, etc) and defect management tools (Linear, Jira, etc) on Linux systems.
• Good to have performance testing experience with tools jmeter, gatling, etc.
• Good to have security testing experience with tools like Burp, Zap, etc.
• Preferred educational qualification: BE / BTech / MCA.

About Nightfall:

Nightfall is a cybersecurity startup dedicated to helping organizations secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We’re a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website www.nightfall.ai or by reaching out via email at careers@nightfall.ai.