Senior QA Engineer, CDL

• A strong understanding of modern testing principles and how they apply across cross‑functional delivery teams
• The ability to define and apply effective test strategies for complex, data‑driven systems, balancing automation, exploratory testing, and risk‑based approaches
• Experience promoting a shift‑left approach to quality, working with teams to embed good testing and quality practices early in the development lifecycle
• Confidence investigating issues across environments, using logs, metrics, and data to understand failures and support root‑cause analysis
• A mindset of continuous improvement, actively contributing to better testing practices, standards, and tooling through collaboration and knowledge sharing
• A solid working knowledge of TDD and BDD, and when to apply them effectively
• A collaborative, pragmatic approach, working closely with Product and Engineering to deliver shared outcomes
• Broad testing knowledge with a strong specialism in test automation
• Hands‑on experience with modern automated testing tools such as Karate and Cypress, applied thoughtfully across the test pyramid
• Familiarity with a range of testing and delivery tools across the SDLC, including tools for API testing and documentation, exploratory testing, performance testing, and work tracking (e.g. Postman/Bruno, Swagger UI, Gatling, JIRA)
• Experience working with CI/CD pipelines, contributing to and maintaining automated quality checks within modern delivery workflows, such as GitLab
• Comfort working within AWS‑hosted, cloud‑based systems, supporting effective testing and quality assurance across distributed services
• A proven ability to take improvement ideas from concept through to delivery
• Practical experience using AI‑enabled tooling or techniques within the delivery lifecycle to improve testing efficiency, coverage, or insight
• Curiosity and openness to emerging AI‑assisted testing approaches, with a focus on real‑world, practical application

Desirable

• We’re looking for a Senior QA Engineer to join our Insurer team, working on CDL’s Insurer System (Policy Manager), a modern, cloud‑based platform used by insurers and Managing General Agents (MGAs) to manage policies, risk data, and related financial processes
• In this role, you’ll help ensure our platform is reliable, scalable, and easy to use, supporting features such as policy administration, data imports, reporting, and integrations with external systems
• You’ll work closely with software engineers, product managers, and stakeholders, embedding quality throughout the software delivery process
• This is a hands‑on role for someone who enjoys improving how teams build and test software, has a strong interest in automation and AI‑enabled tooling, and wants to make a real impact on a growing product used across the insurance industry
• Lead and improve testing and automation practices within the Insurer team, helping deliver a high‑quality platform for insurers and MGAs
• Work with software engineers and product teams to ensure quality is considered from the earliest stages of design and development
• Validate complex data flows, including policy data imports, updates, and reprocessing, ensuring accuracy and reliability
• Support testing of integrations and APIs, connecting our platform to third‑party systems used across the insurance ecosystem
• Help maintain confidence in financial and accounting‑related features, including premium data, reporting, and audit trails
• Drive best practice across functional, performance, and security testing in a cloud‑hosted environment
• Improve test automation coverage and reliability, contributing to CI/CD pipelines and fast feedback for teams
• Coach and mentor others, helping build strong quality and testing practices across the team
• Continuously look for ways to improve tooling, processes, and how quality is approached day‑to‑day
• Encourage pragmatic thinking, innovation, and high standards while keeping delivery focused and practical