Senior Etl Developer Jobs in Quebec (NOW HIRING)

FRENCH VERSION

Offred'emploi:Analysteenassurancequalitelogicielle(AQL) - IAgenerative

Resume du poste

Noussommesa la recherche d'un(e)analysteenassurancequalitelogicielle(AQL)hautementmotive(e),possedantuneforte orientation versl'intelligenceartificiellegenerative(IAgenerative)etl'automatisation,afinde sejoindreanotreequiped'ingenieriede laqualite.

Danscerole, vouscontribuereza la livraison delogicielsde hautequaliteencombinantles pratiquestraditionnellesd'assurancequaliteavec des techniques de testaugmenteesparl'IA,contribuantainsial'evolutionversuneingenieriede laqualiteorienteeagents (Agentic Quality Engineering)etuneautomatisationintelligentedes tests.

Vouscollaborerezetroitementavec les equipesProduit, Developpement et DevOpsafindeconcevoir,executeretameliorerencontinulesstrategiesde test toutaulong du cycle dedeveloppementlogiciel(SDLC).

Principalesresponsabilites

(Aligneesavec les standards QA internes et lesattentesdurole)

Responsabilitesprincipalesenassurancequalite

• Analyserles exigences et lesrecitsutilisateursafindedefinirdesscenariosde testcompletset desstrategiesde couverture.

• Concevoir,executeretmaintenirdescasde testmanuelsetautomatisespour les testsfonctionnels, deregression,d'integrationetsysteme.

• Realiserdes testsexploratoires,negatifset ad hocafind'identifierlescaslimiteset les anomalies.

• Documenter,suivreetgererles anomalies tout au long deleurcycle de vie al'aided'outilsQA (p. ex. Azure DevOps, Jira, TestRail).

• Collaboreravec lesdeveloppeursafindereproduirelesproblemesetvaliderlescorrectifs.

• Contribuera la planification des tests, al'estimationdes efforts et auxactivitesde validation des versions.

Responsabiliteslieesal'IAgenerativeet al'assurancequaliteintelligente

• Utiliserdesoutilsd'IAgenerative(p. ex. GitHub Copilot, assistants IA) pouraccelerer:

• lagenerationdecasde test

• lacreationde donnees de test

• ledeveloppementde scriptsd'automatisation

• Utiliserl'IApour identifier lescandidatsal'automatisationetoptimiserles suites de tests deregression.

• Valideretevaluerlesresultatset artefactsgeneresparl'IAafind'enassurerl'exactitudeetl'exhaustivite.

• Contribuera desstrategiesde testpiloteesparl'IA,notamment:

• l'automatisationauto-reparatrice(self-healing)

• lapriorisationdes testsbaseesur lerisque

• lapredictionintelligentedes anomalies (lecasecheant)

• Explorer et adopterencontinulesoutilsd'IAemergentsafind'ameliorerl'efficaciteet laqualitedesactivitesQA.

• Utiliserl'IAgenerativepouraccelererla conception des tests, la documentation,l'analysedes anomalies etl'analysedes causesracines.

• Creerdes prompts et des flux de travailefficacesafindegenererdescasde test, scripts de test et donnees de test de hautequalite.

• Contribueral'evaluationet a laselectiondesoutilset technologiesd'IAemergentseningenieriede laqualite.

Qualificationsrequises

• Baccalaureateninformatiqueoudomaineconnexe,ouexperienceequivalente.

• 3 a 5ansd'experienceenassurancequalitelogicielledans unenvironnementAgile.

• Solideexperiencedans :

• la conception etl'executiondecasde test

• les testsfonctionnelset deregression

• la gestion du cycle de vie des anomalies

• Experiencepratique desoutilsde gestion de tests et desuivides anomalies (p. ex. Azure DevOps, Jira, TestRail).

• Bonnecomprehensiondu SDLC, du STLC et des processus de livraisonlogicielle.

• Excellentescompetencesanalytiques,enresolutiondeproblemesetencommunication.

• Familiariteavec les techniques de prompt engineeringpourlagenerationet la validation de tests.

• Comprehensiondes conceptsd'agentsIA, deleursflux de travail et deleursapplicationseningenieriede laqualite.

• Maitrisedu francais et del'anglais, tant al'oralqu'al'ecrit.

• Capacite a travailler en mode hybride, incluant une presence au bureau a Sherbrooke

CompetencesenIAgenerativeetautomatisation(essentielles)

• Experiencepratique desoutilsd'IAgenerative(p. ex. GitHub Copilot, assistants IA) dans les workflows QA.

• Capaciteaintegrerl'IAdans :

• la conception etl'executiondes tests

• les fluxd'automatisation

• Bonneconnaissancedes frameworksd'automatisation(p. ex. Selenium, Playwright, Cypress).

• Comprehensiondes testsd'APIet de la validation des donnees (SQL depreference).

• Capacitearestera jour sur les technologiesd'IAet a les appliquer dans lesactivitesquotidiennesde test.

ENGLISH VERSION

Job Posting: Software Quality Assurance Analyst (GenAI-Enabled)

Role Summary

We areseekinga highly motivatedSoftware Quality Assurance (SQA) Analystwith a strongGenerative AI (GenAI) and automation mindsetto join our Quality Engineeringteam.

In this role, you will ensure the delivery of high-quality software by combiningtraditional QA practices with AI-augmented testing techniques, helping drive the transformation towardAgentic Quality Engineeringand intelligent test automation.

You will collaborate closely with Product, Development, and DevOps teams to design, execute, and continuously improve testing strategies across the SDLC.

Key Responsibilities

(Aligned with your internal QA standards and role expectations)

Core QA Responsibilities

• Analyze requirements and user stories to define comprehensive test scenarios and coverage strategies

• Design, execute, andmaintainmanual and automated test cases across functional, regression, integration, and system testing

• Perform exploratory, negative, and ad-hoc testing to uncover edge cases and defects

• Document, track, and manage defects through the full lifecycle using QA tools (e.g., Azure DevOps, Jira, TestRail)

• Collaborate with developers to reproduce issues andvalidatefixes

• Contribute to test planning, estimation, and release validation activities

GenAI & Intelligent QA Responsibilities

• LeverageGenAI tools (e.g., GitHub Copilot, AI assistants)to accelerate:

• Test case generation

• Test data creation

• Automation script development

• Use AI toidentify automation candidatesandoptimizeregression suites

• Validate and evaluateAI-generated outputs and test artifactsfor accuracy and completeness

• Contribute toAI-driven testing strategies, including:

• Self-healing test automation

• Risk-based test prioritization

• Intelligent defect prediction (where applicable)

• Continuously explore and adopt emerging AI tools to improve QA efficiency and effectiveness

• Use Generative AI tools to accelerate test design, test documentation, defect analysis, and root cause investigation

• Create effective prompts and workflows to generate high-quality test cases, test scripts, and test data

• Contribute to the evaluation andselectionof emerging AI tools and technologies for Quality Engineering

Required Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent experience

• 3-5 years of experience in software QA in Agile environments

• Strong experience in:

• Test case design and execution

• Functional and regression testing

• Defect lifecycle management

• Hands-on experience with test management and defect tracking tools (e.g., Azure DevOps, Jira, TestRail)

• Solid understanding of SDLC, STLC, and release processes

• Strong analytical, problem-solving, and communication skills

• Familiarity with prompt engineering techniques for test generation and validation

• Understanding of AI agent concepts, workflows, and practical applications within Quality Engineering

• Proficiencyin both French and English, spoken and written

• Ability to work in a hybrid environment, with some in-office presence in Sherbrooke

GenAI & Automation Skillset (Must-Have)

• Practical experience usingGenAI tools (e.g., GitHub Copilot, AI assistants)in QA workflows

• Ability to integrate AI into:

• Test design and execution

• Automation workflows

• Working knowledge of automation frameworks (e.g., Selenium, Playwright, Cypress)

• Understanding of API testing and data validation (SQL preferred)

• Ability to stay current with evolving AI technologies and apply them in day-to-day testing