Quality Assurance Analyst, Level 3
Montréal, Canada
6d ago

Company Description

SSENSE, pronounced es -uhns , is a Montreal-based fashion platform with global reach. Founded in 2003, SSENSE is pacing the vanguard of directional retail with a mix of luxury, streetwear, and avant-garde labels.

We produce industry-leading original content and take pride in building our own technology solutions and systems from scratch.

Our field of focus has grown beyond that of a typical e-commerce entity as we explore the nexus of content, commerce, and culture.

Currently serving 150 countries, generating an average of 88 million monthly page views, and achieving high double digit annual growth since inception, SSENSE is becoming a cultural protagonist in its own right.

Job Description

Our world class team of 100+ Engineers builds leading-edge web, back-end and mobile applications from scratch, continuously upgrading and refining our proprietary systems.

We employ the latest technologies to deliver a robust and scalable technology stack that will support our global reach and provide a seamless user experience.

The SSENSE tech team is looking for a highly talented QA Analyst who will be responsible for the governance and QA oversight across the Agile delivery teams with their allocated domain.

The QA Analyst will be the point of contact for Agile teams in the matter of Test activities, Environments, and Coaching QA best practices, coordinating across other Agile teams and / or domains to ensure quality and testing are executed to deliver high-quality software on time.

Whether you are seeking your next challenge or want to share your subject matter expertise, join us for a unique personal and professional experience that will accelerate your growth.


Product Delivery (20%)

  • Attend all Scrum ceremonies of the assigned Agile development teams, up to 2 squads
  • Work closely with the Agile development team which includes Developers, Product Managers, and other stakeholders
  • Analyze and perform ambiguity reviews of business requirements and functional specification documents
  • Ownership & Accountability (40%)

  • Own the quality of the product delivered by the assigned Agile development team(s), reviewing the creation, preparation, maintenance, execution of test plans, and test scripts
  • Conduct quality assurance reviews on team deliverables and existing features for completeness and correctness
  • Review and address corrective actions to ensure that root causes are addressed for every bug
  • Coach the team of Developers on best practices to deliver against quality targets
  • Quality Strategy (20%)

  • Plan testing schedules and assignments, escalating time projections during the planning phase
  • Identify potential test candidates for automation in collaboration with the Tech Lead and Product Manager of the assigned Agile development team(s), escalating during the planning phase
  • Collaborate with the Quality Assurance Lead and / or Automation team for prioritization, monitoring the progress and keeping the Agile development team(s) in the loop
  • Support (20%)

  • Use business knowledge of applications to provide technical assistance in identifying, evaluating, and resolving highly complex test problems
  • Gather data for quality assurance auditing from the assigned Agile Development teams and communicate to Senior QA Analyst
  • Coach and mentor more junior team members
  • Participate in the hiring process and on-boarding process for new hires
  • On board new, more junior QA Analysts
  • Qualifications

  • Bachelor's degree in Computer Science, or a related technical field
  • Master’s degree, further education or experience in engineering, computer science, an asset
  • 3 - 5 years experience in versatile Quality Assurance roles
  • Minimum of 1 year of experience as a Coach / Train / Mentor on QA principles
  • Experience working in an Agile environment
  • Experience with defect tracking and management (TestRail, Jira)
  • Experience with client-facing web and mobile applications, native mobile applications (iOS)
  • Demonstrated knowledge of testing methodologies and software development life cycle; exposure to multiple project execution methodologies
  • Knowledge and experience working on Microservice Architecture, an asset
  • Knowledge in SQL and relational databases (PostgreSQL, MySQL), an asset
  • Understanding and differentiation of the various types of testing (unit, smoke, functional, integration, system, user acceptance, regression, performance, and usability testing)
  • Bilingual in French and English

  • Highly analytical and detail oriented
  • Ability to evangelize, influence and convince
  • Demonstrated ability to transfer requirements into use cases and test cases
  • Ability to identify additional test scenarios outside documented requirements
  • Result oriented with strong troubleshooting skills
  • Demonstrated ability to work independently, as well as collaboratively in managing day-to-day QA tasks for multiple teams
  • Additional Information


    Technology is at the core of everything we do at SSENSE. Driven by an engineering mindset and a problem-solving attitude, we blend fashion with technology to deliver an unparalleled experience to our customers as we build seamless, custom solutions to deliver the SSENSE offering.


    The SSENSE tech team is responsible for an international headless commerce platform. Working in an agile environment, our squads are made up of experienced innovators in Product Management, QA, Design, DevOps, Software Development, Machine Learning, Data Engineering, and Security.

    Headquartered in Montreal, our technology organization has been growing at a rate of 2X year-over-year and is doubling once again in 2021 as we expand across Canada, US, and Europe.


    The SSENSE platform runs on Amazon Web Services making use of serverless microservices across web, mobile and app. Our event-source architecture already achieves over 10,000 requests / second and growing at an unmatched pace, currently unseen across the industry.

    Our data-driven culture of innovation empowers every product team across the tech organization to explore building, testing and learning with the latest in Machine Learning techniques.

    Our automated continuous improvement DevOps model (making use of both blue / green and canary deployments) results in an average of 50 production releases every day.

    Read more about us on our SSENSE .

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