About Nightfall:
Nightfall is the AI-native, unified data loss prevention and insider risk management platform that protects sensitive data across SaaS apps, GenAI tools, email, endpoint devices, and more. Hundreds of customers, spanning AI innovators to top 10 banks, trust Nightfall to detect and stop data exfiltration at scale. Nightfall enables organizations to innovate freely without the risks of losing intellectual property or exposing customer data. Our agentic platform helps security teams regain their time by putting data loss prevention on autopilot. With automatic remediation, security violations can be resolved automatically before they become incidents, and end-users can be automatically trained and coached in the moment to self-heal violations that they introduce.
Nightfall is backed by leading VC firms including Bain Capital Ventures (Enrique Salem - former CEO of Symantec), Venrock (early investors in Cloudflare), WestBridge Capital, Pear VC (early investors in Dropbox and Doordash), and a cadre of cybersecurity leaders including Frederic Kerrest (founder of Okta), Maynard Webb (former COO of eBay), Ryan Carlson (President of Chainguard), Kevin Mandia (founder of Mandiant), and many others.
About the role:
Responsibilities
Be a product expert with a deep understanding of all customer scenarios.
Analyze requirements/PRD and create test cases.
Perform Windows/MacOS endpoints, Web App & API end-to-end testing.
Build & own automated test suites for all end-to-end test cases.
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
5-6 years of experience as a Software Quality/Automation Engineer.
Ability to work in a fast-paced environment with minimal supervision.
Able to work closely with Product Management and Product Engineering.
Experience with Testing & Automating for Windows and/or MacOS endpoints.
Experience in scripting with any of the languages like shell, python, javascript.
Experience with various testing tools (Postman, Playwright, etc) and defect management tools (Linear, Jira, etc) on Linux systems.
Experience in managing & setting up CI/CD pipelines (Jenkins, CircleCI, etc).
Good to have experience of testing OS kernel-mode components.
Good to have experience of SaaS/Web application Testing and API Testing.
Good to have performance testing experience with tools jmeter, gatling, etc.
Preferred educational qualification: BE / BTech / MCA.
Environment
Nightfall AI takes pride in being an equal-opportunity employer. We value a diverse and global talent pool and the collaboration that results from having a diverse and inclusive team. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Our hiring decisions are based exclusively on merit, qualifications, and business needs.
Compensation
Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits & perks, and stock options as they’ll be reflected in the offer letter.
Own software quality and technical documentation across the platform, shaping QA strategy, test automation, and clear technical guides that help engineering teams, partners, and clients use the product confidently.
Build and maintain automation frameworks, test infrastructure, and quality insights for a live mobile game, combining hands-on exploratory testing with mobile, Unity, API, performance, and CI/CD validation.
Develop and own test automation and release qualification for AI inference systems, validating cross-stack integrations, debugging complex failures, and improving regression stability and production reliability.
Plan and execute testing across development teams, combining hands-on quality assurance with improvements to test strategies, automation, and quality processes for reliable, user-friendly systems.
Own verification and release evidence for software, firmware, and models, building automated tests and traceability that demonstrate requirements, hazard controls, and accuracy on real machines.
