Senior AI Driven Automation QA Engineer

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

At the core of the role

We are looking for someone who goes beyond “automating test cases.” You should be someone who asks: “How can we make the entire QA process faster, smarter, more reliable, and more scalable?”

The successful candidate will combine strong automation and programming skills with a continuous-improvement mindset and an interest in using AI and emerging technologies to transform software quality practices.

Core skills you’ll bring

• Strong programming experience in at least one OOP language, such as Java, C#, Python, JavaScript/TypeScript, or similar.
• Solid understanding of OOP concepts, data structures, design patterns, clean code, and software engineering principles.
• Hands-on experience with one or more automation frameworks/tools, such as: Selenium, Playwright, Cypress, Appium, REST Assured, Robot Framework or equivalent technologies.
• Experience with API testing and tools such as Postman, REST clients, or automation frameworks.
• Experience with Git and version-control practices.
• Experience integrating automated tests with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar.
• Experience working with databases and writing basic SQL queries.

AI & Innovation Experience

We are particularly interested in candidates who have experience with AI adoption or implementation in QA.

This may include:

• AI-assisted test automation development and code generation.
• Using AI to improve test maintenance and reduce flaky tests.
• Developing AI-powered QA tools, agents, scripts, or workflows.
• Evaluating AI tools and measuring their impact on QA processes.
• Identifying new opportunities for AI-driven quality engineering.
• Using AI / LLMs to analyze requirements, identify test scenarios, generate synthetic test data, enhance test cases and test scripts.

Candidates do not need to be AI/ML specialists. We value practical experience, curiosity, experimentation, and the ability to identify where AI can create measurable improvements in QA.

Nice-to-have:

• Experience building internal QA tools or automation platforms.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker and containerized test environments.
• Knowledge of Kubernetes or distributed systems.
• Familiarity with LLM APIs, prompt engineering, RAG, AI agents, or AI-powered developer tools.

The impact you'll create

• Work in agile environment, designing and implementing automated testing solutions across Avenga's projects and clients.
• Explore, evaluate, and implement AI-driven solutions to enhance QA efficiency and test automation.
• Acts as a technical contributor in AQE practices, driving automation improvements and sharing knowledge with colleagues._People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong._