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QA Engineer - Partnership Intelligence

Two Circles
CompanyTwo Circles
CategoryUncategorised
LocationVancouver
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted27 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
We are Two Circles. We are a Sports & Entertainment Marketing business. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans are doing – the way fans spend their money, the events that fans attend, the channels fans respond to, the content fans watch and more. And we use the understanding this gives us to help our clients grow. Grow their audiences and grow their revenues - both direct to consumer and business to business revenues. Our platforms and services are trusted by over 1000 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon. We are over 1000 people, based out of 15 offices, and we deliver work for sports and entertainment businesses of all shapes and sizes all over the world. Two Circles is looking for a creative, modern QA Engineer to join our dynamic KORE Intelligence Platform team. In this role, you'll be part of the Partnership Intelligence team, building modern SaaS platforms that help our clients intelligently manage relationships with their partners. We're looking for someone who sees quality as an engineering discipline rather than a testing activity. This role is for engineers who leverage automation, AI, and deep system understanding to maximize engineering value across the software development lifecycle. We expect our engineers to think critically, influence quality early, collaborate closely with developers, and continuously improve how software is designed, built, tested, and delivered. We strongly encourage the adoption of AI throughout the engineering workflow. However, AI is a tool to amplify engineering capability—not replace critical thinking. Strong system design awareness, architectural understanding, and sound engineering judgement remain fundamental to this role. We value engineers who use AI to support better engineering decisions, not replace engineering thinking. This is a Hybrid role, requiring 2 days per week in our Downtown Vancouver office. Key Responsibilities Quality Strategy 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. Shift Left Engineering 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. Quality Automation Engineering 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. AI-enabled Engineering 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 tech
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