Automation QA Engineer

Project Description:

You'll be working in the Investment Bank IT (Agency Trading - Market Engineering Crew) team. Our role is to manage global applications, providing oversight, support, analysis, and solutions that implement a strategic architecture. This position is for a senior Java developer to join the Agency Trading - Market Engineering team to make valuable contributions to both the existing platform and play a pivotal role in the build-out of our strategic middle office solution using the proprietary state-of-art low latency framework. We're a global team and work around the clock to provide best-in-class solutions.

You are:
• Able to deliver from conception through to production, streamlined, high-availability, high-performance, high-quality, well-tested, and easy-to-support software in a timely manner
• Accountable with a strong sense of ownership of your system and will continually strive to improve it
• Proactive about addressing any deficiencies, risks, and stability problems by helping to develop & refine software, tools, processes, procedures, and documentation
• Focused on quality
• Aware of ongoing technology trends and know pragmatically leverage their benefits
• Quick learner
• Comfortable working independently, as well as in a team-oriented, collaborative environment
• Fluent in English

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.

Mandatory Skills Description:

• 8+ years of hands-on experience in core Java development and good concepts in OOPS, Collections, API design, and multithreading
• Hands-on Unix experience with shell scripting
• Good experience in unit testing using JUnit
• Experience with continuous integration and deployment
• Clear concepts in Git version control and branching strategy
• Strong experience in managing deliverables, risks, and stakeholders
• Strong communication skills, ability to understand business requirements, and explain system behaviour to users

Nice-to-Have Skills Description:

• 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.