Senior Automation QA Engineer

Project description

We are looking for an experienced Automation QA Engineer / Software Development Engineer in Test to join the Intelligent Document Processing (IDP) team in the investment banking/client onboarding domain. IDP is an AI-assisted platform used in KYC onboarding workflows to extract data from documents and present AI-proposed values for user review. The role focuses on developing and maintaining automated test solutions for backend APIs, UI flows, and end-to-end document processing scenarios. The engineer will contribute to regression coverage, CI/CD-based test execution, automated reporting, and validation of extracted results against expected data. The role requires strong engineering skills, a quality-focused mindset, and the ability to work closely with developers, QA engineers, DevOps, product owners, and business stakeholders in an agile delivery environment.

Responsibilities

• Design, develop, and maintain automated tests for backend APIs, UI components, and end-to-end IDP document processing flows.
• Build and extend test automation frameworks with a focus on maintainability, scalability, and clear reporting.
• Support automated regression testing across different document types, attributes, and onboarding scenarios.
• Validate extracted results against expected data, golden datasets, and structured ground-truth files.
• Integrate automated tests into CI/CD pipelines and improve feedback loops for development teams.
• Analyze test failures, investigate defects, and work closely with developers to identify root causes.
• Maintain and improve test data handling for anonymized datasets.
• Contribute to test strategy, quality gates, release readiness, and continuous improvement of QA processes.
• Collaborate with developers, DevOps engineers, product owners, and business stakeholders in an agile delivery model.
• Promote automation-first and engineering-driven quality practices across the team.

SKILLS

Must have

• At least 8+ years of practical experience in test automation and delivering quality for production systems.
• Advanced proficiency in building maintainable, scalable UI and API automation frameworks using tools such as Playwright, Selenium, REST Assured, and Postman.
• Strong programming skills in Java, with clean, reusable test code (JavaScript in a Playwright context would be an asset)
• Practical, hands-on experience with test frameworks, build tools, and reporting: TestNG, JUnit, AssertJ, Hamcrest, Maven, Gradle, Allure, and ReportPortal.
• Strong grasp of QA engineering fundamentals: test design techniques, test data management, debugging, and root cause analysis.
• Solid understanding of testing practices across unit, integration, API, and end-to-end layers, plus integrating automated tests into CI/CD pipelines.
• Ability to evaluate trade-offs and select appropriate tools, frameworks, and testing strategies for a given problem.
• Experience in Performance Testing using one of tools as Gatling, JMeter
• Familiarity with Agile delivery and excellent communication and collaboration skills.
• Experience using GitHub Copilot, agentic systems, and LLM-assisted development to support the testing process.

Nice to have

• Experience with Python. • Experience with GitLab CI/CD. • Experience testing AI-assisted, agentic, or document-processing systems, with understanding of related quality and evaluation metrics. • Familiarity with AI-related concepts and components, such as skills, tools, MCP servers, and agent communication patterns.