QA Engineer/Specialist

Overview

JUTEQ is an AI-native and cloud-native technology consulting firm helping enterprises in financial services, telecom, and healthcare build intelligent, production-grade systems. We combine the power of GenAI, cloud architecture, and automation to deliver next-generation business tools.
We’re now hiring an experienced QA Engineer to lead quality assurance efforts across our AI agent platform. This is a hands-on role focused on building test plans, validating system behavior, and ensuring a seamless user experience across multi-tenant, AI-powered applications.

What You'll Work On

Define and execute comprehensive test strategies for our multi-tenant dashboards and AI-driven systems.
Design and run test cases for complex workflows, including authentication, RBAC, and agent response monitoring.
Perform both manual and automated testing across web UIs and backend APIs.
Create regression, smoke, and sanity test suites to support frequent feature releases.
Collaborate with frontend and backend engineers to identify edge cases and prevent bugs before release.
Integrate automated tests into CI/CD pipelines and maintain test environments.
Verify REST API integrations and data states across services built with NestJS, PostgreSQL, and Prisma.
Validate UI behavior in mobile and desktop views using modern frameworks like Next.js and TailwindCSS.

What We’re Looking For

3+ years of professional QA experience, ideally in a startup or fast-paced product environment.
Strong understanding of STLC, SDLC, test case design, and bug lifecycle.
Experience with automated testing tools such as Cypress, Playwright, Selenium, or similar.
Familiarity with tools like Postman for API testing and scripting.
Knowledge of browser-based testing for responsive web apps and component-driven UIs.
Ability to write clear bug reports and test documentation that helps devs move fast.
Bonus Points
Experience working with systems built on Next.js, NestJS, Prisma, or Firebase Auth.
Exposure to LLMs and GenAI workflows (OpenAI, Vertex AI, LangChain, etc.)
Past testing of admin panels, CRM tools, or multi-tenant SaaS dashboards.
Understanding of security testing, data validation, and performance benchmarking.

What You'll Gain

Direct ownership of QA for a fast-growing AI product line.
Collaboration with engineering and product teams building real-world agentic systems.
Deep exposure to testing AI and automation at the intersection of intelligence and usability.
A portfolio of tested, reliable enterprise UIs used by real businesses every day.