Senior Test Automation Engineer, Python

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Avenga

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

💰 Private equity on 2017-02

Consulting • Manufacturing • Healthcare

Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.

📋 Description

• Define test strategy and test cases for each use case, covering functional, regression, integration and exception scenarios • Execute structured testing of automation workflows, low code applications and AI agent outputs against acceptance criteria • Design and run agent-specific validation, including accuracy, consistency and safe failure behaviour under edge case inputs • Log, triage and track defects with AI Engineers and the Solution Architect through to resolution • Own formal QA sign-off prior to release, acting as the final quality gate before Release and Transition • Support post go-live monitoring in partnership with the Command Centre managed service, where in scope • Contribute quality and defect data into the COE methodology's E2E Summary Dashboard for cross-client reporting

🎯 Requirements

• Proven QA or test engineering experience within an automation, low code or AI delivery environment • Hands-on experience with Python • Familiarity with Playwright and writing automated tests using TypeScript • Practical knowledge of testing AI or agentic systems • Awareness of non-deterministic output and statistically robust validation approaches • Familiarity with test management and defect tracking, ideally integrated with Jira • Understanding of responsible AI and governance requirements, including bias, safety and escalation behaviour • Comfortable operating across multiple concurrent use cases within a factory-style delivery cadence • Clear, structured written communication for defect reporting and sign-off documentation • Upper-Intermediate English level • Nice-to-have: Knowledge of KQL for analyzing outputs and logs in Azure Log Analytics • Nice-to-have: Familiarity with testing solutions built with Microsoft Power Platform and Power Automate • Nice-to-have: Knowledge of Microsoft Copilot Studio and AI agents within the Microsoft ecosystem

🏖️ Benefits

• Equal opportunities in recruitment, career development, and leadership • Diverse and inclusive work environment • Talent team support and career-growth support throughout the hiring process