Senior Quality Engineer

WylloMontreal, QC

About The Position

We are seeking a Senior Quality Engineer responsible for ensuring the quality, stability, and production readiness of software delivered across engineering teams. This role focuses on test strategy, automation engineering, release validation, and quality governance across complex distributed systems. The role requires strong technical depth, ownership mindset, and the ability to operate across engineering, product, and DevOps functions in a fast-paced Agile environment. The Senior Quality Engineer is responsible for ensuring every engineering change is production-ready, reliable, and aligned with system-level quality expectations. This role owns the end-to-end quality lifecycle across development, enhancements, and releases, ensuring software is validated not only against requirements but also for real-world reliability and edge-case behavior. This includes driving a risk-based, automation-first quality approach across test strategy, design, execution, and continuous validation through CI/CD pipelines. The role is accountable for building and evolving scalable automation systems, improving release confidence, and ensuring quality signals are accurate and trusted by engineering and product teams. It also involves ownership of automation architecture, defect prevention, release readiness, and CI/CD-integrated validation, while collaborating cross-functionally to improve system testability and embed quality early in the development lifecycle. Additionally, the role contributes to QE maturity by mentoring engineers and adopting modern practices such as AI-assisted testing and intelligent automation.

Requirements

  • 5+ years of experience in software quality assurance, QA automation, or SDET roles
  • Strong hands-on experience designing and executing test strategy, test plans, and structured test cases
  • Proven experience building automation frameworks from scratch (UI + API + system level)
  • Strong expertise in UI automation using Playwright
  • Experience with API testing, backend validation, and distributed system testing
  • Strong experience with CI/CD pipelines (Jenkins or equivalent tools)
  • Experience working in Amazon Web Services (AWS) environments
  • Strong working knowledge of Jira and defect lifecycle management systems
  • Experience working in Agile/Scrum development environments
  • Strong analytical, debugging, and problem-solving skills with attention to detail
  • Ability to communicate technical concepts clearly across engineering and non-technical stakeholders
  • Strong ownership mindset and ability to operate independently in ambiguous environments
  • Experience using or integrating AI tools into engineering or QA workflows (preferred)

Nice To Haves

  • Ability to prioritize and execute testing activities in fast-paced release cycles
  • Strong understanding of software QA methodologies, tools, and processes
  • Experience with regression testing, release validation, and production support activities
  • Ability to identify system-level improvements and prevent recurring defects
  • Strong collaboration and relationship-building skills across cross-functional teams
  • Ability to operate under high-pressure release environments with clarity and precision

Responsibilities

  • Prepare and own QA artifacts including test strategy, test plans, test cases, and release sign-off documentation
  • Define and execute end-to-end test planning, QA strategy, and quality governance across multiple systems
  • Design and maintain scalable automation frameworks for UI, API, and system-level testing
  • UI automation using Playwright with a focus on reliability and maintainability
  • Build and maintain API and backend automation testing systems across distributed services and integrations
  • Integrate automated tests into CI/CD pipelines (Jenkins-based workflows) for continuous validation
  • Perform release testing, regression testing, and production readiness validation for all major deployments
  • Work extensively in Amazon Web Services (AWS) environments to validate cloud-based and distributed system behavior
  • Identify, document, track, and manage defects across the full lifecycle using Jira
  • Perform deep root cause analysis for production and pre-production issues
  • Improve test coverage, automation efficiency, and system reliability over time
  • Ensure internal QA documentation is accurate, updated, and aligned with system changes
  • Participate in Agile ceremonies including sprint planning, refinement, and release discussions
  • Collaborate closely with engineering, product, DevOps, and support teams to ensure quality alignment
  • Use AI tools and AI-assisted workflows to improve test design, automation development, debugging, and regression optimization
  • Apply an AI-first mindset to improve QE efficiency and reduce manual effort through smart automation practices
  • Mentor and guide QE engineers and contribute to improving overall QA maturity across teams

Benefits

  • Equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics, sexual orientation, political affiliation, military veteran status, domestic violence victim status, or any other protected characteristic under applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service