QA Engineer - Endpoint
Nightfall AI4 months ago
Bengaluru, IndiaSenior
Responsibilities
- Act as a product expert with a deep understanding of customer scenarios.
- Analyze requirements and product requirements documents and create test cases.
- Perform end-to-end testing of Windows and macOS endpoints, web applications, and APIs.
- Build and own automated test suites for end-to-end test cases.
- Analyze test results, troubleshoot issues, and report findings to Product Engineering.
- Find bugs, create detailed defect reports, and verify fixes.
- Reproduce customer-reported issues and help product engineers debug them.
- Define testing approaches and own load and stress testing for features.
Requirements
- Require 5–6 years of experience as a Software Quality or Automation Engineer.
- Experience testing and automating Windows and/or macOS endpoints.
- Scripting experience with shell, Python, or JavaScript.
- Experience with testing tools such as Postman and Playwright and defect-management tools such as Linear and Jira on Linux systems.
- Experience managing and setting up CI/CD pipelines with tools such as Jenkins or CircleCI.
- Ability to work in a fast-paced environment with minimal supervision and collaborate closely with Product Management and Product Engineering.
- Preferred experience testing OS kernel-mode components, SaaS or web applications, APIs, and performance testing with JMeter or Gatling.
- Preferred educational qualification of BE, BTech, or MCA.
Benefits
- Equal-opportunity employer committed to a diverse and inclusive workplace.
- Base salary, bonus where applicable, benefits and perks, and stock options are finalized and reflected in the offer letter.
Tech Stack
Categories
About Nightfall AI
Nightfall AI builds an AI-native data loss prevention platform that discovers, classifies, and protects sensitive data across SaaS apps, endpoints, email, cloud, and generative AI tools for security teams. It sells subscription software and APIs to enterprises to detect leaks and automate remediation and insider-risk controls. Founded in 2018 and headquartered in San Francisco, the privately held company raised a Series B in 2022 and focuses on cloud and AI data security.