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Key skills for this role
Design smart, risk-based testing strategies instead of maximizing test case count.
Create valuable test plans and test cases that focus on business risk, customer impact, and engineering value.
Apply a strong understanding of the Test Pyramid to ensure the right tests exist at the right layer.
Continuously evaluate testing effectiveness and eliminate low-value testing activities.
Practice Shift Left throughout the entire software development lifecycle.
Review Product Requirements (PRDs), technical designs, infrastructure architecture, and UI/UX mockups to identify quality risks and design effective test plans before implementation begins.
Collaborate with developers during solution design and implementation, not just after development is complete.
Understand system behaviour beyond the UI, including APIs, databases, data flow, architecture, and service interactions.
Provide quality input during design discussions to improve product quality before code is written.
Build and maintain reliable UI automation using Playwright.
Design, build, and maintain scalable API automation using appropriate technologies and frameworks.
Continuously improve automation architecture, execution reliability, maintainability, and developer experience.
Contribute reusable testing utilities, frameworks, and engineering tooling.
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Leverage AI to improve productivity across test planning, automation, investigation, debugging, and documentation.
Continuously experiment with AI-driven engineering workflows that improve software quality and engineering efficiency.
Apply engineering judgement to validate AI-generated outputs and ensure technical correctness.
Use AI to accelerate engineering work while maintaining strong critical thinking and technical ownership.
Participate in technical discussions, code reviews, and architecture conversations where quality considerations add value.
Work closely with developers, product managers, designers, and other engineers to improve overall product quality.
Drive continuous improvement across quality practices, engineering workflows, and team processes.
Experience writing or contributing to unit tests.
Experience using AI-assisted engineering tools such as Claude Code, Codex, Cursor, or similar.
Practical experience developing performance testing strategies and chaos engineering strategies.
Strong critical thinking around software quality, engineering trade-offs, and risk analysis.
Experience improving engineering tooling, development workflows, or quality processes.
Experience contributing to system design or technical solution discussions.
We're looking for engineers who:
Think like engineers, not checklist testers.
Are creative and continuously challenge how quality can be improved.
Understand systems instead of only validating UI behaviour.
Build automation that creates long-term engineering value.
Understand that quality starts at design—not after development is complete.
Use AI to accelerate engineering work while applying independent engineering judgement.
Continuously improve themselves, their teammates, and the engineering organization.
Are curious, proactive, and always looking for better ways to solve problems.
Uses fan data analytics to grow sports business revenues.
Visit company websiteJobs and hiring trendsFull-time
Mid · 3+ years experience
Hybrid
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