QA Manager

QA Manager

Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles! We’re hiring a QA Manager to lead the next evolution of quality engineering across Caseware’s SaaS product teams—driving scalable, modern approaches to testing, automation, and developer enablement. Reporting into the Data Analytics, Interoperability, and AI Platform organization, this role is uniquely positioned to define quality strategy across foundational platform areas that underpin our most critical innovations. What makes this role especially exciting: we’re not just building traditional apps. We’re accelerating delivery of advanced analytics, LLM-based GenAI features, and moving toward agentic AI capabilities—systems that defy conventional testing and require new thinking around test strategy, observability, and statistical validation. You’ll help build teams and architect a quality practice that is not only robust and scalable, but capable of handling the complexity and nuance of modern, non-deterministic systems. If you’re energized by the challenge of enabling velocity while maintaining trust and quality in data- and AI-driven systems, this is the opportunity to shape that future.

What You’ll Be Doing

• Set and Execute Quality Strategy Across the Platform
• Define and implement a scalable quality strategy for a growing SaaS platform—shifting testing left, reducing UI test reliance, and strengthening component and contract coverage. Improve E2E test stability, data setup, and isolation to boost reliability and speed. Enable fast, actionable feedback loops without slowing team velocity.
• Design for Quality in AI & Analytics Systems
• Collaborate with data and AI teams to design quality strategies for non-deterministic systems like pipelines, statistical models, and GenAI features. Apply advanced validation methods such as golden datasets, LLM-as-judge, behavioral testing, and synthetic test generation to support continuous delivery.
• Improve CI/CD and Developer Workflows
• Optimize CI/CD pipelines for speed and reliability. Define meaningful, maintainable quality gates that provide early warning without blocking delivery. Champion tooling and practices that reduce flaky tests and noisy signals.
• Lead Non-Functional and Production Testing
• Establish frameworks and processes for performance, scalability, and resilience testing across our services. Enable testing-in-production approaches through canary releases, synthetic monitoring, and fault injection.
• Manage Platform Release Management
• Oversee release management from a quality lens—ensuring readiness through test coverage, risk assessment, and coordination of validation activities across environments.
• Build Test Data and Observability Systems
• Drive the creation of scalable, privacy & regulatory compliant test data management strategies. Integrate logs, traces, and monitoring into automated test systems to improve diagnosis and root cause analysis of test failures.
• Define and Measure Quality KPIs
• Track key DORA metrics such as test coverage, defect trends, test effectiveness and execution health, flakiness, and regression rates. Use these insights to continually refine the quality strategy and guide investments in automation and infrastructure.

What You Will Bring

• 7+ years' experience leading QA or quality engineering teams within modern SaaS or platform organizations in cloud-native environments (AWS).
• Expertise in building and scaling automated testing infrastructure, including integration with modern CI/CD pipelines (GitHub Workflows).
• Knowledge of testing strategies across the pyramid, from unit to E2E, including contract and performance testing (Cypress, Pact, K6).
• Solid front-end knowledge and testing fluency in HTML/CSS/JavaScript/TypeScript, and back-end knowlege in RESTFul APIs.
• Experience applying AI tools in the testing lifecycle, such as for test generation, defect prediction, or intelligent automation, to improve coverage and efficiency.
• Experience testing non-deterministic systems such as LLM applications, or statistical algorithms—along with familiarity with validation approaches for GenAI or agentic systems (e.g. snapshot testing, LLM-as-a-judge, synthetic test case generation).
• Hands-on familiarity with observability tools (New Relic) and best practices for improving test signal and pipeline feedback loops.
• Experience integrating QA tools like Zephyr Scale and on-prem CI/CD systems (GitHub).
• A strategic mindset paired with a pragmatic, systems-thinking approach to quality at scale.

About Caseware

Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. We’re dedicated to building teams as diverse as our customers in an equitable and inclusive way. Should you require accommodations or have any questions at any point during the application or interview process, please e-mail our People Operations team at talent@caseware.com.

Background Check: Any candidates successful in obtaining an offer for a position will need to successfully complete a background check through Certn.co which typically includes an Identity Verification and Criminal Record Check. Executives and Senior Managers will undergo a Soft Credit Check as well. Candidates residing in the Netherlands and Germany are excluded from undergoing background checks via Certn.co.

Security and Fraud: Caseware takes the security of candidates seriously. All legitimate communication from us will come from email addresses ending in @caseware.com and our open positions are always listed on reputable job boards and on our website https://jobs.lever.co/caseware. We will NEVER ask for payment or financial information from you. If you receive an unsolicited job offer, proceed with extreme caution.