About Nexoar Nexoar is an AI-powered cybersecurity company helping organizations achieve continuous cyber assurance. Our platform unifies risk, security posture, compliance, and governance into a single source of truth, enabling businesses to automate security processes, validate controls, measure resilience, and proactively manage cyber risk.
We help security leaders turn complex security data into actionable insights that drive better decisions, stronger resilience, and greater confidence in their cybersecurity programs.
We're looking for a Mid-Level QA Engineer who's excited to own quality across the Nexoar platform. This role blends hands-on manual testing , building QA automation , and working with AI-powered features and tools . You'll help define how QA works at Nexoar while ensuring our platform remains reliable, intelligent, and production-ready.
Perform end-to-end QA on the Nexoar platform, including AI-powered features
Review requirements, user stories, and models/logic to identify risks and edge cases
Execute manual testing (smoke, regression, exploratory) across releases
Validate AI outputs for accuracy, consistency, bias, and edge conditions
Contribute to designing and building QA automation frameworks for Nexoar
Write and maintain automated tests for critical user flows, APIs, and AI pipelines
Help integrate automated tests into CI/CD pipelines
Improve QA processes, tools, and best practices as the product and AI capabilities scale
Advocate for quality, reliability,



and responsible AI usage in product decisions

Nexoar Tech Stack (QA-Relevant)
Frontend: Modern JavaScript framework (e.g., React)
Backend: API-driven architecture (REST / GraphQL)
Databases: SQL / NoSQL
AI/ML: AI-driven features, model integrations, or LLM-based services
Cloud-based (AWS / GCP / Azure)
CI/CD: Git-based workflows with automated deployments
QA Tools: Jira (or similar), Postman, browser dev tools
Playwright / Cypress / Selenium (adaptable)
3+ years of experience in software QA or testing

- Strong manual testing skills with modern web platforms
- Experience testing APIs and backend services
- Hands-on experience with test automation tools
- Comfortable writing automated tests (JavaScript, TypeScript, or similar)
- Experience testing AI-driven features (LLMs, ML models, or AI APIs)
- Understanding of AI testing challenges (non-determinism, data quality, edge cases)
- Experience working in Agile / startup environments
- Experience building QA automation frameworks from scratch

Basic SQL knowledge for data validation
Experience testing SaaS or B2B platforms
Exposure to AI evaluation techniques (prompt testing, output validation, drift monitoring)
Experience with performance, security, or load testing
Real ownership over QA, automation, and AI quality strategy
Opportunity to work on cutting-edge AI-powered features
Close collaboration with engineering, product, and AI teams
Clear growth path toward Senior QA / SDET / QA Lead

📌 QA Engineer (Agile) (India)
🏢 Lakshya Software Technologies Private
📍 India