{"id":4271043,"url":"https://alion.io/job/plato-testing-test-automation-specialist-ai-quality-engineering","title":"Test Automation Specialist, AI & Quality Engineering","company":{"id":2041231,"name":"PLATO Testing","domain":"platotech.com","url":"https://alion.io/company/platotech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fredericton, Canada","Ottawa, Canada","Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"JavaScript","optional":false},{"name":"Playwright","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Selenium","optional":false},{"name":"TypeScript","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-09T19:08:26Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-13T17:49:55Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Who We Are\nPLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years, our expert teams have helped our clients deliver reliable products that users enjoy interacting with.\nOur 100% Canada-based team brings deep experience in QA, software testing, and IT services, along with a shared commitment to collaboration, mentorship, and continuous improvement. We’re a team that shows up for each other, whether that’s tackling complex client challenges or helping colleagues grow through coaching and knowledge-sharing.\nAs Canada’s largest Indigenous-owned software testing company, we’re proud of our roots and our mission to build a stronger, more inclusive technology workforce. At the same time, we warmly welcome applicants of all backgrounds and experiences who are passionate about quality, teamwork, and making an impact.\nThe Opportunity\nWe’re looking for experienced Test Automation Specialists who are passionate about modern engineering practices and excited about how AI is changing the way software is tested and delivered.\nThis is not a traditional QA role. We’re looking for hands-on technologists who can design and build scalable automation solutions, work comfortably with modern development frameworks, and apply AI technologies in practical ways to improve testing, quality, and engineering productivity.\nIf you’re someone who likes experimenting with new technology, building automation rather than simply executing tests, and finding smarter ways to solve complex quality challenges, we’d like to hear from you.\nWhat You’ll Do\nAs a Test Automation Specialist, you will:\nDesign, develop, and maintain robust automated testing frameworks and solutions.\n\nBuild automated tests for web applications, APIs, services, and data-driven solutions.\n\nApply AI technologies and AI-assisted development/testing tools to accelerate test creation, improve coverage, analyze failures, generate test scenarios, and enhance overall testing efficiency.\n\nWork with modern automation technologies such as Playwright, Selenium, Python, Java, JavaScript, and PySpark.\n\nIntegrate automated testing into CI/CD pipelines and modern development workflows.\n\nDevelop reusable testing components, utilities, frameworks, and supporting tools.\n\nCollaborate closely with developers, architects, product teams, and delivery teams to build quality into the development lifecycle.\n\nAnalyze test results and application behaviour to identify defects, patterns, risks, and opportunities for improvement.\n\nExplore emerging AI and automation technologies and help determine how they can be applied effectively in real-world delivery environments.\n\nContribute to automation standards, engineering practices, and continuous improvement initiatives.\n\nWhat We’re Looking For\nIdeally, you bring:\n5+ years of professional experience in software testing, test automation, software development, or a closely related engineering discipline.\n\nStrong hands-on experience designing and developing automated testing solutions and frameworks.\n\nPractical experience with modern automation technologies such as:\nPlaywright\n\nSelenium\n\nPython\n\nJava\n\nJavaScript / TypeScript\n\nPySpark\n\nDemonstrated hands-on experience using AI technologies, not simply theoretical knowledge or familiarity with AI concepts.\n\nExperience applying AI or GenAI tools to software engineering, quality engineering, test automation, or related technical workflows.\n\nExperience testing APIs, web applications, data pipelines, integrations, or distributed applications.\n\nExperience incorporating automated testing into CI/CD and DevOps environments.\n\nStrong troubleshooting and analytical skills, with the ability to diagnose complex automation and application issues.\n\nA continuous-learning mindset and genuine interest in experimenting with emerging technologies.\n\nNice to Have\nExperience with any of the following would be considered an asset:\nEnterprise test automation platforms such as Tricentis Tosca or Testim\n\nAI-assisted or AI-driven testing platforms\n\nAPI automation and testing\n\nPerformance or load testing\n\nCloud platforms such as Microsoft Azure, AWS, or Google Cloud\n\nContainerization and orchestration technologies such as Docker and Kubernetes\n\nCI/CD platforms such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI\n\nData engineering or data quality testing\n\nAccessibility, security, or performance testing\n\nExperience working in Agile product or delivery teams\n\nWhat Will Set You Apart\nWe’re particularly interested in candidates who can demonstrate how they have actually used AI in their work. That might include using AI to:\nGenerate or improve automated test cases\n\nAccelerate automation script development\n\nGenerate synthetic test data\n\nAnalyze test failures and logs\n\nIdentify gaps in test coverage\n\nDevelop intelligent testing utilities or agents\n\nAssist with code reviews or automation maintenance\n\nTest AI-enabled applications, LLMs, or AI workflows\n\nIncorporate LLM APIs or AI services directly into automation solutions\n\nWe’re less interested in whether you can explain what AI could do and more interested in hearing about what you’ve built, tested, automated, or improved with it.\nWork With Us\nAt PLATO, we believe that great work happens when people feel supported, connected, and challenged in the right ways. You’ll be part of a collaborative environment where experienced professionals share knowledge, mentor others, and contribute to solving complex, real-world client projects.\nWe are committed to inclusive hiring practices and encourage applications from individuals of all backgrounds, including women, persons with disabilities, visible minorities, and Indigenous peoples. If you require accommodation at any stage of the recruitment process, we’re here to support you.\nPLATO respectfully acknowledges that we operate on treaty territories, unceded First Nations and Inuit territories, and within Métis homelands. 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