11 hours ago
Toronto, CanadaSenior
Responsibilities
- Define quality engineering strategies, architectures, standards, and measurable outcomes across digital platforms and client engagements.
- Architect, build, and scale automated testing solutions for web, mobile, API, integration, backend, and distributed systems.
- Drive AI-enabled testing initiatives, including AI-assisted test design, intelligent test selection, automated failure analysis, and agentic testing workflows.
- Establish testing and evaluation strategies for LLM-based systems and AI agents, including correctness, groundedness, robustness, safety, and regression testing.
- Integrate automated testing, quality gates, static analysis, and risk-based validation into CI/CD pipelines.
- Define performance, scalability, accessibility, and security testing approaches.
- Establish quality metrics covering test effectiveness, defect escape rates, automation reliability, delivery confidence, and AI-enabled practice impact.
- Partner with engineering and architecture leaders on system risks, solution reviews, and technical trade-offs.
- Advise clients on quality engineering strategy, tooling, operating models, and AI-enabled SDLC transformation.
- Develop reusable frameworks, reference architectures, accelerators, and engineering standards.
- Mentor QA engineers and technical leads and promote engineering excellence.
Requirements
- 8+ years of relevant Quality Assurance and Quality Engineering experience, including significant hands-on automation engineering and framework architecture experience.
- Strong software engineering fundamentals and experience designing scalable automation frameworks using Playwright, Cypress, Selenium, or Appium.
- Experience using TypeScript, JavaScript, Python, Java, or equivalent programming languages.
- Ability to develop quality strategies spanning frontend, APIs, integration, backend services, and distributed systems.
- Strong understanding of CI/CD pipelines, version control, cloud environments, containers, and test execution infrastructure.
- Preferred experience with agentic workflows, AI-enabled testing systems, or reusable AI engineering capabilities.
- Preferred hands-on experience with LLM evaluation frameworks, RAG testing, model-output assessment, or AI safety and robustness testing.
- Preferred experience with performance engineering, application security testing, accessibility automation, cloud-native architectures, or reusable consulting engineering frameworks.
Benefits
- Comprehensive health and wellness benefits package.
- Retirement planning and parental leave program.
- Annual technology and travel allowance.
- Flexible working hours and work-from-home flexibility.
- Service recognition programs, socials, outings, and retreats.
- Culture of learning and development.
- Hybrid work arrangement, as indicated by the #LI-Hybrid listing.
Tech Stack
Categories
About Konrad
Konrad is a privately held digital consultancy that designs and builds custom web and mobile applications, AI-enabled products, and customer experiences for global enterprises and consumer brands. It earns revenue through strategy, design, and software engineering services spanning UX, e‑commerce, and digital transformation. Headquartered in New York, it operates internationally with teams in Toronto, London, San José, and Gurgaon.