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Jobs via eFinancialCareers • London, England, United Kingdom
Role & seniority: Senior QA Automation Engineer / Expert QA professional responsible for automation, testing strategy, and platform quality.
Stack/tools: IDT cloud-based platform; JavaScript/TypeScript; Cypress; REST/SOAP APIs; JSON/XML; SQL for data validation; CI/CD; Git; JIRA; Postman; ReadyAPI; JMeter; Jenkins; ALM; Python (scripting); test automation frameworks.
Design, develop, and maintain automated test cases; perform functional, integration, and regression testing (APIs).
Write/execut e SQL queries for data validation; log, track defects; coordinate client-side testing and onboarding.
Contribute to monitoring tools, scripting, and complex testing strategies; create test plans and summaries; respond to client API queries.
Expert QA experience with test planning and automation
Proficiency in JavaScript/TypeScript and Cypress for front-end testing
Strong REST/SOAP API knowledge; JSON/XML
SQL data validation; experience with CI/CD, Git
Tools: JIRA, Postman/ReadyAPI/JMeter; SDLC knowledge; scripting (Python etc.)
Excellent communication and organizational skills; ability to work autonomously in a fast-paced environment
Performance testing for APIs/GUI; bottleneck identification
Experience evaluating and integrating AI/ML-based testing tools into CI/CD pipelines
Location & work type: Location not specified; work type not specified (details TBD)
Job Purpose
As a vital member of the Technology Group, you will contribute significantly to the development and delivery of the ICE Digital Trade Platform (IDT) - a cloud-based system designed to digitise, automate, and streamline global trade and post-trade processes. This platform manages the full lifecycle of digital trade documents across various applications, including API services.
In this role, you'll be responsible for ensuring the quality and reliability of the IDT platform through test automation, certification testing, client onboarding, production support, and effective communication with stakeholders.
We're looking for a results-oriented, self-driven professional who thrives in a dynamic environment. You'll collaborate closely with project managers, developers, product teams, support staff, and external vendors.
Demonstrates awareness of emerging AI-driven QA methodologies and proactively explores opportunities to integrate them into existing testing frameworks and workflows to enhance efficiency, coverage, and quality assurance outcomes.
Responsibilities
Analyse business/system requirements and database schemas. Design, develop, and maintain automated test cases. Perform functional, integration, and regression testing (especially APIs). Write and execute SQL queries for data validation. Use CI/CD tools, version control (Git), and automation frameworks. Respond to client API queries and support onboarding. Log and track defects; coordinate client-side testing. Contribute to internal monitoring tools and scripting. Maintain awareness of environment changes and deploy applications. Collaborate with QA leads on complex testing strategies. Develop and deliver well written test plans and summaries
Knowledge And Experience
Expert QA experience, with experience in test planning and automation. Expert experience with JavaScript or TypeScript and Cypress for front-end testing. Strong knowledge of REST/SOAP APIs, JSON, XML. Proficient in tools like JIRA, Postman, ReadyAPI, or JMeter. Experience with SDLC, QA methodologies, and scripting (Python, etc.). Excellent communication and organisational skills. Experience with Git, Jenkins, ALM, and test automation frameworks. Ability to work in highly demanding, fast-paced environment Self-motivated, able to work and excel autonomously on job responsibilities. Bachelor's degree in computer science, Engineering/ related field or similar experience.
Nice to Have
Hands on experience designing and executing performance tests for APIs and GUIs to identify bottlenecks and ensure optimal response times Understands and evaluates AI/ML-based testing tools and frameworks, integrating them into CI/CD pipelines to optimise test automation and defect detection.