Senior QE Engineer

PAR Technology

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.

We're looking for a Senior QE Engineer with deep expertise in automation and performance testing, AI-augmented testing, to help us deliver high-quality software at scale. In this role, you'll serve as a subject matter expert (SME) on quality practices, design robust test strategies, and contribute to building scalable and reliable systems. You'll work closely with cross-functional teams to drive automation, performance testing, and quality initiatives across the platform.

Position Location: Jaipur/Gurugram

Reports To: Manager QE

What We are Looking For: Key Skills & Responsibilities

5–8 years of experience in Quality Engineering with strong expertise in enterprise SaaS applications.
Strong hands-on experience in UI automation (Selenium/Playwright), API & backend testing, Java/Python/TypeScript, and modern CI/CD & DevOps practices.
Strong knowledge of SQL and database testing, including backend data validation.
Experience testing microservices, distributed systems, asynchronous workflows, and event-driven architectures.
Hands-on experience in Performance Testing, cloud-native technologies (AWS/Azure, Docker, Kubernetes), and observability tools.
Exposure to AI-powered Quality Engineering, including AI-assisted test solutions, automation development and testing AI-enabled applications (LLMs, MCP, Agentic AI, RAG, Conversational AI, etc.).
Strong analytical, debugging, troubleshooting, and root cause analysis skills.
Ability to review requirements, identify quality risks, and design effective test strategies.
Self-driven with a strong sense of ownership, excellent communication and collaboration skills, and a continuous learning mindset.

With a Side Of (Additional Skills)

Exposure to Big Data or AI/ML products.
Understanding of security testing concepts (OWASP, DAST, SAST) is a plus.

Unleash Your Potential: What You Will Be Doing and Owning

Own end-to-end test strategy and quality sign-off for assigned modules/services.
Drive adoption of AI-augmented testing practices across the team.
Champion shift-left testing and test pyramid principles within the SDLC.
Partner with engineering leads to define performance benchmarks and SLAs.

Interview Process

Interview #1: Phone Screen with Talent Acquisition Team
Interview #2: Video interview with the Technical Teams (via MS Teams/F2F)
Interview #3: Video interview with the Hiring Manager (via MS Teams/F2F)

PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact [email protected]. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.