Senior QA Automation Engineer

Intercontinental Exchange Holdings; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Intercontinental Exchange Holdings is seeking a QA Automation Engineer to contribute to IDT platform testing, automation, and certification. You will ensure quality across functional, API, and integration testing, while onboarding clients and supporting production environments.

You will work with JavaScript/TypeScript, Cypress, REST/SOAP APIs, and CI/CD pipelines, leveraging AI coding assistants to accelerate test authoring and triage, and collaborating with project managers and developers in a

Qualifications

• 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 highly demanding, fast-paced environment
• Self-motivated, able to work and excel autonomously on job responsibilities.
• Bachelor's degree in Computer Science, Engineering, or related field / similar experience.
• 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.

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.
• 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.

Skills

QA experience

Test automation

API testing

Git version control

CI/CD

Scripting (Python)

Communication

SDLC

Education

Bachelor's degree in Computer Science or related field

Tools

JIRA

Postman

ReadyAPI

JMeter

Git

Jenkins

ALM

Claude Code

GitHub Copilot

Job description

Job Description

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.

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


• 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.

Knowledge and Experience

• 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 highly demanding, fast-paced environment


• Self-motivated, able to work and excel autonomously on job responsibilities.


• Bachelor's degree in Computer Science, Engineering, or related field / similar experience.


• 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.

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.