Hybrid Quality Assurance Engineer II

at Mozn

• Job title: Quality Assurance Engineer II
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Grafana, JMeter, Prometheus, Selenium
• Location requirements: Hybrid, Riyadh, Saudi Arabia

About the role

• Quality Assurance Engineer II at Mozn designing testing strategies for AI-powered solutions. Collaborating with teams to implement testing processes and improve software reliability.

Responsibilities

• Design and develop test plans and strategies to ensure software quality.
• Conduct various types of testing, including: Functional testing, Regression testing, User acceptance testing (UAT), System integration testing, Performance and load testing.
• Identify and document software defects and issues, and collaborate with development teams for resolution.
• Collaborate with cross-functional teams, including developers, product managers, and designers, to ensure software meets business and technical requirements.
• Analyze test results and performance metrics, providing recommendations for improving system performance and reliability.
• Develop and execute performance test scripts and scenarios using tools like JMeter, Gatling, or LoadRunner.
• Simulate high-volume load conditions and analyze system behavior under stress.
• Monitor application performance in different environments, identifying bottlenecks in application servers, databases, APIs, and network layers.
• Work closely with DevOps/infra teams to optimize system performance and scalability.
• Participate in code reviews, emphasizing testability and performance concerns.
• Maintain automated test scripts and testing frameworks for both functional and performance testing.
• Continuously improve software testing and development practices.
• Review requirements and technical design documents to provide early, constructive feedback.
• Investigate and resolve product complaints or reported performance issues under company guidelines.
• Participate in Agile ceremonies such as sprint planning and backlog grooming.
• Prepare detailed reports and dashboards for test executions and performance benchmarks.
• Use tools such as Postman, REST Assured, Selenium, and monitoring tools like New Relic, Grafana, or Prometheus.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 3+ years of professional experience in software quality assurance.
• Strong understanding of QA methodologies, tools, and best practices.
• Experience in writing clear and comprehensive test plans, test cases, and test scripts.
• Hands-on experience with automated testing tools and black-box testing.
• Minimum 1–2 years of hands-on experience in performance testing or engineering.
• Experience with performance testing tools such as JMeter, LoadRunner, Gatling, BlazeMeter, or similar.
• Familiarity with monitoring tools and performance profiling techniques.
• Deep understanding of web application architecture and performance bottlenecks (e.g., CPU, memory, database, network).
• Knowledge of Agile/Scrum development environments.
• Strong problem-solving and root cause analysis skills.
• Strong communication skills (verbal and written).
• Ability to work independently and collaboratively across teams.
• Familiarity with performance tuning and optimization techniques at different application layers.
• Experience in Fintech is a plus.
• Eagerness to learn and adapt to evolving technologies in QA and performance testing.
• Staying updated with emerging trends in QA, including AI-driven test automation, self-healing test scripts, and predictive defect analysis.
• Understanding of how AI is transforming software testing—from test case generation using LLMs to autonomous regression testing.
• Familiar with agent-based QA frameworks and continuous testing strategies for rapidly evolving AI applications.
• Enthusiastic about adopting cutting-edge testing tools and methodologies to meet modern product demands.
• Understanding of AI-agentic applications and their unique testing challenges, including adaptive workflows, dynamic user interactions, and multi-step autonomous behaviors.
• Experience testing AI-driven systems, including LLM-based apps, chatbots, and AI decision-making modules for accuracy, reliability, and safety.

Benefits

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust.
• We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.