Senior Quality Assurance Engineer

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 digitize, 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.

• Analyze 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.
• Leverage AI coding assistants (e.g., Claude / Claude Code, Git Hub Copilot) and agentic AI workflows to accelerate test authoring, maintenance, failure triage, and defect analysis, while reviewing AI-generated output for correctness and quality.

• Bachelor’s degree in computer science, engineering, or related field.
• 5+ years in QA, with experience in test planning and automation.
• 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 organizational skills.
• Experience with Git, Jenkins, ALM, and test automation frameworks.
• Ability to work in a highly demanding, fast-paced environment.
• Self-motivated, able to work and excel autonomously on job responsibilities.
• Understands and evaluates AI/ML-based testing tools and frameworks, integrating them into CI/CD pipelines to optimize test automation and defect detection.
• Hands‑on experience using AI coding assistants such as Claude (including Claude Code) and Git Hub Copilot to generate, refactor, and maintain automated test code, with sound judgement on where AI assistance is and is not appropriate.
• Working knowledge of agentic AI concepts — autonomous, multi-step AI agents and prompt engineering — applied to QA tasks such as test generation, log and failure analysis, and exploratory testing.

• JavaScript and Cypress for front-end testing.
• Hands‑on experience designing and executing performance tests for APIs and GUIs to identify bottlenecks and ensure optimal response times.
• Experience designing or orchestrating agentic AI / multi‑agent workflows (e.g., Claude Code subagents) for test automation, self‑healing tests, or document/PDF validation.