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About the Role
Contribute to the development and delivery of the ICE Digital Trade Platform (IDT), a cloud-based system for global trade and post-trade processes. Ensure platform quality and reliability through test automation, certification testing, client onboarding, and production support. This role requires a results-oriented, self-driven professional who thrives in a dynamic environment and collaborates with various teams 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
- 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.
- Utilize 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, GitHub Copilot) and agentic AI workflows to accelerate test authoring, maintenance, failure triage, and defect analysis, while reviewing AI-generated output for correctness and quality.
Requirements
- Expert QA experience, including 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 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.
- Hands-on experience using AI coding assistants such as Claude (including Claude Code) and GitHub 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.
Skills
- JavaScript
- TypeScript
- Cypress
- REST APIs
- SOAP APIs
- JSON
- XML
- JIRA
- Postman
- ReadyAPI
- JMeter
- SDLC
- QA methodologies
- Python
- Git
- Jenkins
- ALM
- Test automation frameworks
- AI coding assistants
- Claude
- Claude Code
- GitHub Copilot
- Agentic AI
- Prompt engineering
- Performance testing
- AI/ML-based testing tools
Experience Level
- Expert QA experience
Education Level
- Bachelor’s degree in Computer Science, Engineering, or related field / similar experience.