{ "count" : 123915, "data" : [ { "id" : "6a30766df292fd229c01988a", "title" : "QA Automation Engineer", "company" : "Fubo", "industry" : "Media", "salary" : { "max" : 170000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T10:56:54.153", "fingerprint" : "fcaeb075615abb5a6be01165928c863cee856c3f2afbbb8971662172169c9b92", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.fubo.tv/fubotv-job-openings/?gh_jid=8008863", "externalId" : "8008863", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "JavaScript, WebdriverIO, Appium, Java, Github", "professionalSkills" : [ "Quality assurance", "User experience", "Regression testing", "Integration testing", "Performance testing", "Exploratory testing", "Root cause analysis" ], "hardSkillsList" : [ "Automation testing", "Test case creation", "Test script execution", "Defect analysis", "API response inspection", "Version control" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Automation testing", "level" : "intermediate" }, { "name" : "Test case creation", "level" : "intermediate" }, { "name" : "Test script execution", "level" : "intermediate" }, { "name" : "Defect analysis", "level" : "intermediate" }, { "name" : "API response inspection", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "QA Automation, Test execution, Defect identification", "majorSkillsList" : [ "QA Automation", "Test execution", "Defect identification" ], "coreResponsibilities" : "Create test plans, Execute test plans, Create automated test cases, Manage automated test suites, Execute automated test scripts, Analyze test results, Identify defects, Ensure product quality, Perform exploratory testing, Discover defects, Troubleshoot issues, Identify root cause, Drive fixes to resolution, Accept issues in Jira, Determine release go/no go", "teamCollaboration" : "Embedded into engineering teams; Work with distributed team; Work with engineers; Work with product managers; Work with product designers", "projectManagementSkills" : [ "JIRA" ], "domainKnowledge" : "Web platforms; Android platforms; iOS platforms; AppleTV platforms; Roku platforms; AndroidTV platforms; FireTV platforms", "domainList" : [ "web-platforms", "android-platforms", "ios-platforms", "appletv-platforms", "roku-platforms", "androidtv-platforms", "firetv-platforms" ], "domainSpecificKnowledge" : [ "Web platforms", "Android platforms", "iOS platforms", "AppleTV platforms", "Roku platforms", "AndroidTV platforms", "FireTV platforms" ], "toolProficiency" : [ "JIRA", "TestRail", "Postman", "Charles", "BrowserStack", "Github" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Sharing knowledge", "innovationCreativity" : "Disrupting the status quo", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "specialRequirements" : "3 days in office", "qualificationsBasic" : "3+ years QA/Automation testing experience, Technical knowledge to inspect backend API responses, Experience with test management tools, Experience with cloud-based testing tools, Ability to write test scenarios using Gherkin, Solid experience with JavaScript testing framework, Experience with mobile app automation frameworks, Experience using Github for version control, Ability to write and execute automation scripts", "qualificationsPreferred" : "Enjoy working in fast-moving startup environment, Enjoy learning new things, Take initiative in identifying roadblocks, Be a pleasure to work with, Comfortable giving and receiving feedback, Unafraid of failure, Enjoy disrupting the status quo", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Fubo: FuboTV Inc. is a consumer-first live TV streaming company that is defining the future of TV. Ranked among Fast Company’s Most Innovative Companies (2026) and the Financial Times’ The Americas’ Fastest-Growing Companies (2026, 2025), FuboTV owns Hulu + Live TV (entertainment), Fubo (sports) and Molotov (entertainment and sports), which stream in markets around the globe. Our Mission: Our mission is to deliver premium sports, news and entertainment programming through a best-in-class user experience that offers greater choice, flexibility and value. About the Role: *This role is a New York City based HYBRID position. Candidates must be located in NYC, and willing to come into the office on a hybrid basis, three times a week (Tuesday, Wednesday, Thursday).* Fubo aims to deliver the highest quality viewing experience possible to every customer, every time. We are searching for an Automation Engineer with a passion for testing, quality, correctness, and user experience. As an Automation Engineer, you will work embedded into one of our engineering teams, contributing both to manual and automation testing for our most critical functions, areas with a high rate of regression, and our latest user-facing features to ensure we are confident in our latest releases before deploying to production. We are looking for an Automation Engineer who enjoys working closely with engineers, product managers, and product designers to achieve alignment on desired functionality. Fubo Automation Engineers have the following responsibilities: Continuously create and execute test plans for existing and upcoming functionality Work with a distributed team to create and manage automated test cases and suites for regression, integration, and performance testing Execute automated test scripts and analyze results to identify defects and ensure product quality Perform exploratory testing to discover defects that aren’t already covered by a test plan Troubleshoot and triage issues to identify root cause - front end or back end, and drive the fix to resolution Accept issues in Jira within a timely manner after they are delivered by the engineering team Help determine “go” or “no go” for a given release based on the severity and potential impact of all known issues All Automation Engineers must: Have 3+ years of experience in QA/Automation testing for at least one of the platforms we support (Web, Android, iOS, AppleTV, Roku, AndroidTV, FireTV) Have sufficient technical knowledge to inspect backend API responses and determine potential causes for an issue Experience with test management tools (e.g., JIRA, TestRail, Postman, Charles) Experience with cloud-based testing tools (e.g.vBrowserStack) Ability to write clear, concise, and maintainable test scenarios using Gherkin Solid experience with a JavaScript testing framework like WebdriverIO Experience with mobile app automation frameworks like Appium (e.g., Java, JavaScript) Experience using Github for version control Ability to write and execute automation scripts for mobile apps and web apps The ideal candidate will also: Enjoy working in a fast-moving startup environment Enjoy learning new things and sharing knowledge with coworkers Take the initiative in identifying and removing roadblocks Be a pleasure to work with in a professional environment Be comfortable giving and receiving honest feedback Be unafraid of failure Enjoy disrupting the status quo Perks maximum base salary for this role is $170,000 per year. Additionally, this role is eligible to participate in Fubo's equity plan, annual cash bonus plans, unlimited PTO, and a full range of medical benefits. The final offer amount will be at the company’s sole discretion and determined by multiple factors, including years and depth of experience and expertise, location and other business considerations.", "summaryDescription" : "QA Automation Engineer at Fubo. Skills: QA Automation, Test execution, Defect identification. Create test plans. Execute test plans", "postedDate" : "2026-06-16T01:20:52.390", "createdAt" : "2026-06-16T01:20:52.390", "lastUpdated" : "2026-06-16T10:56:54.153", "ingestTimestamp" : "2026-06-16T01:20:52.390", "mongoId" : "6a30766df292fd229c01988a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 170000, "hasSalary" : false, "allSkills" : [ "Automation testing", "Test case creation", "Test script execution", "Defect analysis", "API response inspection", "Version control", "Leadership", "QA Automation", "Test execution", "Defect identification", "Quality assurance", "User experience", "Regression testing", "Integration testing", "Performance testing", "Exploratory testing", "Root cause analysis", "JIRA", "Web platforms", "Android platforms", "iOS platforms", "AppleTV platforms", "Roku platforms", "AndroidTV platforms", "FireTV platforms", "TestRail", "Postman", "Charles", "BrowserStack", "Github" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1366.2275, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304f3ff292fd229cee64e1", "title" : "QA Automation Engineer", "company" : "Scalian", "industry" : "Information Technology And Services", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level QA Automation Engineer in the Technology industry in Spain, adjusted for city tier and company size." }, "location" : "España, Spain", "locations" : [ "España", "Spain" ], "certifications" : [ "ISTQB" ], "timestamp" : "2026-06-16T06:12:07.063", "fingerprint" : "5144257c85ce230c2a97f9132406e5f975fba8edd987b60cf7f354a940a3a602", "source" : "smartrecruiters", "language" : "es", "applyUrl" : "https://jobs.smartrecruiters.com/Scalian/744000132233809-qa-automation-engineer", "externalId" : "744000132233809", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "APIs, Backend services, Karate, RestAssured, Postman, Cypress, Playwright, Selenium, SQL, Docker, Kubernetes, JMeter, Gatling, Grafana, Kibana, Splunk, Dynatrace, Kafka, RabbitMQ, AWS, Azure, GCP", "professionalSkills" : [ "Quality assurance", "Automation frameworks", "Process improvement" ], "hardSkillsList" : [ "API testing", "Backend testing", "E2E testing", "Performance testing", "Microservices testing" ], "hardSkills" : [ { "name" : "API testing", "level" : "intermediate" }, { "name" : "Backend testing", "level" : "intermediate" }, { "name" : "E2E testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Microservices testing", "level" : "intermediate" } ], "majorSkills" : "QA Automation, API Testing, Backend Testing, CI/CD Integration", "majorSkillsList" : [ "QA Automation", "API Testing", "Backend Testing", "CI/CD Integration" ], "coreResponsibilities" : "Design test strategies, Execute test strategies, Design testing frameworks, Maintain testing frameworks, Review requirements, Define acceptance criteria, Analyze test results, Identify defects, Identify improvement opportunities, Integrate automated tests, Improve quality processes, Improve automation processes", "teamCollaboration" : "Agile development teams; Developers; Architects; Product Owners", "projectManagementSkills" : [ "Agile", "Scrum", "Kanban" ], "domainKnowledge" : "Microservices architecture; Cloud platforms; Messaging systems", "domainList" : [ "microservices-architecture", "cloud-platforms", "messaging-systems" ], "domainSpecificKnowledge" : [ "Microservices architecture", "Cloud platforms", "Messaging systems" ], "toolProficiency" : [ "Karate", "RestAssured", "Postman", "Cypress", "Playwright", "Selenium", "JMeter", "Gatling", "Grafana", "Kibana", "Splunk", "Dynatrace", "Kafka", "RabbitMQ", "Docker", "Kubernetes" ], "continuousLearning" : "Onboarding program; Personalized training; Technical communities; Internal events; Language training; Udemy Business; Subsidized certifications; Internal training programs; Wellbeing program", "problemSolvingSkills" : "Root cause analysis; Defect identification", "qualificationsBasic" : "3+ years QA Automation, API REST testing, E2E testing, Agile methodologies", "qualificationsPreferred" : "Microservices architecture experience, Docker and Kubernetes knowledge, Performance testing experience, Observability tools experience, Messaging knowledge, Cloud testing experience, ISTQB certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "SCALIAN Group es una consultora tecnológica líder en transformación digital y eficiencia de procesos , especializada en aumentar el valor de las empresas. Con sedes en Madrid, Barcelona, Sevilla y Málaga , formamos parte de un grupo internacional francés que ofrece soluciones completas abarcando una amplia variedad de sectores como banca, aeronáutica, espacio, automoción, ferroviario, servicios, lujo, retail, entre otros. Nuestra misión es clara: Impulsar el crecimiento con soluciones tecnológicas personalizadas y alineadas con tus objetivos. Fundada en 1989, SCALIAN cuenta actualmente con más de 5.500 empleados distribuidos en 11 países , generando una facturación anual de 550 millones de euros. Certificada como Great Place to Work y Best Workplaces for Women. ¿Por qué SCALIAN? * Impulsamos tu desarrollo profesional: un programa de onboarding completo de 1 año junto a tu manager y HR Partner, planes de formación personalizados, comunidades técnicas y eventos internos. * 25 días laborables de vacaciones. * Tener una posición estable con contrato indefinido. * Participar en proyectos punteros donde puedas desarrollar tus habilidades. * Disfrutar de un plan de retribución flexible (seguro médico, ticket transporte, restaurante y guardería). * Equilibrar tu vida personal y profesional con horario flexible. * Formar parte de un equipo en el que te sientas escuchado/a y donde puedas aportar nuevas ideas. * Compartir el camino con un equipo de profesionales apasionados y comprometidos. * Formación: Acceso ilimitado a plataforma de formación en idiomas (inglés, francés, alemán, italiano...) con clases de conversación. * Acceso a Udemy Business para formarte libremente * Certificaciones subvencionadas, además de programas internos de formación en diferentes ámbitos (IA, Ciberseguridad, Big Data,...) * Programa de bienestar del empleado (descuentos en tiendas y servicios a través de corporatebenefits, descuentos en gimnasios) Buscamos un/a QA Automation Engineer con sólida experiencia en automatización de pruebas backend para incorporarse a un equipo de desarrollo ágil y participar en proyectos de alta criticidad tecnológica. La persona seleccionada será responsable de diseñar, desarrollar y mantener frameworks de automatización enfocados en APIs y servicios backend, garantizando la calidad y estabilidad de las aplicaciones mediante pruebas automatizadas integradas en pipelines CI/CD. Responsabilidades * Diseñar y ejecutar estrategias de pruebas funcionales y de regresión para servicios backend. * Diseñar y mantener frameworks de testing basados en Karate, RestAssured y otras herramientas. * Participar en revisiones de requisitos y definición de criterios de aceptación. * Analizar resultados de pruebas e identificar defectos y oportunidades de mejora. * Colaborar estrechamente con desarrolladores, arquitectos y Product Owners. * Integrar pruebas automatizadas en pipelines de CI/CD. * Participar en la mejora continua de procesos de calidad y automatización ## Qualifications * Experiencia mínima de 3 años en QA Automation. * Experiencia en automatización de pruebas de APIs REST y testing E2E * Experiencia trabajando con Karate, RestAssured y Postman * Conocimientos de otras herramientas de testing como Cypress, Playwright, Selenium * Conocimientos de bases de datos SQL. * Experiencia en metodologías Agile (Scrum/Kanban). * Valorable * Experiencia en arquitecturas de microservicios. * Conocimientos de Docker y Kubernetes. * Experiencia en pruebas de rendimiento con JMeter o Gatling. * Experiencia con herramientas de observabilidad (Grafana, Kibana, Splunk, Dynatrace). * Conocimientos de mensajería (Kafka, RabbitMQ). * Experiencia en testing de aplicaciones cloud (AWS, Azure o GCP). * Certificaciones ISTQB.", "summaryDescription" : "QA Automation Engineer at Scalian. Skills: QA Automation, API Testing, Backend Testing, CI/CD Integration. Design test strategies. Execute test strategies", "postedDate" : "2026-06-15T15:27:30.000", "createdAt" : "2026-06-15T21:32:13.862", "lastUpdated" : "2026-06-16T06:12:07.063", "ingestTimestamp" : "2026-06-15T21:32:13.862", "mongoId" : "6a304f3ff292fd229cee64e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "API testing", "Backend testing", "E2E testing", "Performance testing", "Microservices testing", "QA Automation", "API Testing", "Backend Testing", "CI/CD Integration", "Quality assurance", "Automation frameworks", "Process improvement", "Agile", "Scrum", "Kanban", "Microservices architecture", "Cloud platforms", "Messaging systems", "ISTQB", "Karate", "RestAssured", "Postman", "Cypress", "Playwright", "Selenium", "JMeter", "Gatling", "Grafana", "Kibana", "Splunk", "Dynatrace", "Kafka", "RabbitMQ", "Docker", "Kubernetes" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1342.6644, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05874d8ee00a09a1f94", "title" : "QA Automation Engineer", "company" : "Saily", "industry" : "Saily", "salary" : { "min" : 14500.0, "max" : 26800.0, "currency" : "PLN", "frequency" : "Yearly" }, "location" : "Warsaw", "locations" : [ "Warsaw" ], "timestamp" : "2026-06-16T05:28:39.815", "fingerprint" : "2b071ef5936312752249db21047a18183478656f35ede94f636a23d94777a9f1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/c1233135-fcce-4cbc-a7ed-7cc118f774ca/application", "externalId" : "c1233135-fcce-4cbc-a7ed-7cc118f774ca", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "technicalSkills" : "JavaScript, TypeScript, REST API, Git, Docker, Jasmine, Jest, Mocha, Chai, Cypress, Playwright, Appium", "professionalSkills" : [ "Test automation frameworks", "Test strategy", "Test plans", "Test cases", "Software defects", "Exploratory testing", "Manual testing", "Usability testing", "AI-powered tools", "AI-assisted testing", "LLMs", "AI assistants", "Test data generation", "Flaky tests triage" ], "hardSkillsList" : [ "Functional integration testing", "Regression testing", "Performance testing", "API testing" ], "softSkillsList" : [ "Learning", "Sharing" ], "hardSkills" : [ { "name" : "Functional integration testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Learning" }, { "name" : "Sharing" } ], "majorSkills" : "QA Automation, Test Frameworks, API Testing, AI Testing", "majorSkillsList" : [ "QA Automation", "Test Frameworks", "API Testing", "AI Testing" ], "coreResponsibilities" : "Design test automation frameworks, Write automated tests, Conduct complex functional integration tests, Conduct regression tests, Conduct performance tests, Confirm acceptance criteria met, Contribute to testing strategies, Drive testing strategy implementation, Participate in writing test plans, Participate in writing test cases, Report software defects, Work with development team to resolve defects, Perform hands-on exploratory testing, Perform hands-on manual testing, Uncover edge cases, Uncover usability issues, Validate complex user flows, Explore AI-powered tools, Integrate AI-powered tools into QA workflows, Accelerate test creation, Expand test coverage, Reduce cycle times, Champion AI-assisted testing adoption, Experiment with LLMs, Experiment with AI assistants, Generate test data, Write test cases from requirements, Triage flaky tests, Train team members, Mentor team members", "teamCollaboration" : "Work with development team; Cross-functional teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "Mobile data; Travel connectivity", "domainList" : [ "mobile-data", "travel-connectivity" ], "domainSpecificKnowledge" : [ "Mobile data", "Travel connectivity" ], "toolProficiency" : [ "Git", "Docker", "Jasmine", "Jest", "Mocha", "Chai", "Cypress", "Playwright", "Appium", "BrowserStack", "GitLab" ], "communicationSkills" : "Written English; Spoken English", "continuousLearning" : "Training programs; Mentorship", "innovationCreativity" : "AI adoption; AI evangelism", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years automated tests writing, Experience writing automated tests for REST API, Experience working with Git, Experience working with Docker, Knowledge of Agile/DevOps best practices, Experience working with JavaScript/TypeScript, Experience with Jasmine, Jest, Mocha + Chai, Cypress, or Playwright", "qualificationsPreferred" : "Training and mentoring less senior team members", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands travelers browsing through Saily at any given moment. To build the best product for our customers we foster AI-native Product Engineering culture, where: - The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production) - AI Agents are the enablers who write most of the code and solve repeatable tasks to help the Engineers maximize their impact - Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes - Curiosity, learning and sharing are everyone's responsibility - Customer, having a comfortable, connected, hassle-free journey is never lost from the focus We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work. MAIN RESPONSIBILITIES - Design test automation frameworks (multi-platform) and write automated tests to conduct complex functional integration, regression, and performance tests to confirm that the acceptance criteria have been met - Contribute to identifying testing strategies and drive their implementation - Participate in writing test plans and test cases - Report software defects and work with development team to resolve them - Perform hands-on exploratory and manual testing to uncover edge cases and usability issues that automated tests may miss - Validate complex user flows end-to-end across mobile and other platforms before major releases AI ADOPTION & EVANGELISM - Actively explore and integrate AI-powered tools into QA workflows to accelerate test creation, expand coverage, and reduce cycle times - Champion the adoption of AI-assisted testing practices across the engineering organization - Experiment with LLMs and AI assistants for generating test data, writing test cases from requirements, and triaging flaky tests - Training and mentoring less senior team members in test automation would be very welcome CORE REQUIREMENTS - 5+ years of experience in automated tests writing for web or mobile applications - Experience in writing automated tests for REST API - Experience working with Git and Docker - Knowledge of Agile/DevOps best practices - Experience working with JavaScript/TypeScript - Experience working with one of the following automation - frameworks: Jasmine, Jest, Mocha + Chai, Cypress, Playwright - Passion for breaking things - That you are sharp-eyed with attention to details - Good written and spoken English skills TOOLS YOU WILL USE - App: Appium with TypeScript on BrowserStack using GitLab - Web: Playwright in TypeScript using Gitlab - BE: Playwright in TypeScript using Gitlab WHAT WE OFFER Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Fuel your active lifestyle with online workouts led by our Physical Well-Being experts. Unlock a variety of sports and wellness facilities, like gyms, swimming pools, and fitness classes, with the Multisport card. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "QA Automation Engineer at Saily. Skills: QA Automation, Test Frameworks, API Testing, AI Testing. Design test automation frameworks. Write automated tests", "createdAt" : "2026-06-14T19:28:47.213", "lastUpdated" : "2026-06-16T05:28:39.815", "ingestTimestamp" : "2026-06-14T19:28:47.213", "mongoId" : "6a2ca05874d8ee00a09a1f94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Functional integration testing", "Regression testing", "Performance testing", "API testing", "Learning", "Sharing", "QA Automation", "Test Frameworks", "API Testing", "AI Testing", "Test automation frameworks", "Test strategy", "Test plans", "Test cases", "Software defects", "Exploratory testing", "Manual testing", "Usability testing", "AI-powered tools", "AI-assisted testing", "LLMs", "AI assistants", "Test data generation", "Flaky tests triage", "Agile", "DevOps", "Mobile data", "Travel connectivity", "Git", "Docker", "Jasmine", "Jest", "Mocha", "Chai", "Cypress", "Playwright", "Appium", "BrowserStack", "GitLab" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1309.6566, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc374d8ee00a0950b35", "title" : "Automation QA Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 720000.0, "max" : 1200000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Automation QA Engineer in Kyiv, Ukraine, adjusted for the technology industry and full-time employment." }, "location" : "Ukraine", "locations" : [ "Ukraine" ], "timestamp" : "2026-06-15T23:06:32.396", "fingerprint" : "46b7c29d6a6a34e2664da5f3c6c71ad25c94498948a8be8317d0862ad537364a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4187549009", "externalId" : "4187549009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kyiv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.4500336,30.5241361" } ], "locationText" : "Kyiv, Ukraine", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Linux, Shell", "hardSkillsList" : [ "Software QA methodologies", "Networking" ], "hardSkills" : [ { "name" : "Software QA methodologies", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" } ], "majorSkills" : "QA Automation, Python, Networking", "majorSkillsList" : [ "QA Automation", "Python", "Networking" ], "coreResponsibilities" : "Design test, Implement test, Take part in test planning, Extend Python test functionality, Adapt tools, Create tools, Support new features, Support hardware, Set up MQA lab, Perform manual testing, Perform automation testing", "teamCollaboration" : "Global team; Firmware engineers; Digital hardware engineers; RF hardware engineers", "domainKnowledge" : "L2/L3 networking; Embedded systems", "domainList" : [ "l2-l3-networking", "embedded-systems" ], "domainSpecificKnowledge" : [ "L2/L3 networking", "Embedded systems" ], "toolProficiency" : [ "PyTest" ], "continuousLearning" : "Paid courses; Training; Conferences", "specialRequirements" : "Relocation to Kyiv", "qualificationsBasic" : "3+ years software testing, 1+ year QA Automation, 1 year manual testing, BS degree in Computer Science", "qualificationsPreferred" : "Upper-intermediate spoken and written English", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Requirements: 3+ years of software testing experience; 1+ year QA Automation(backend) using Python, 1 year of manual testing experience; Strong L2/L3 networking expertise; Strong knowledge of software QA methodologies, tools and processes; Experience with testing of networks and embedded systems; Good knowledge of Linux administration and shell scripting; Solid knowledge of Python; Experience with Python test frameworks (PyTest, etc.); Upper-intermediate level of spoken and written English; BS degree in Computer Science or related engineering degree. Responsibilities: Design and implement wide variety of test scripts; Take part in test planning and estimation; Extend functionality of Python test framework; Adapt and create tools to support new features/hardware; MQA lab setups maintaining; Manual testing — 40%, Automation — 60% Candidate needs to be in Kyiv (or consider relocation). Hybrid type of work. What do we offer: International work environment and work with global development teams; Excellent work conditions in an A-Class office (Horizon Park Business Center); Compensation package matching global standards; Flexible work hours (as required); Paid parking, courses, training, conferences and business trips; Medical insurance Free lunches Candidate will work as part of the global team of firmware, digital hardware and RF hardware engineers to develop cutting edge wireless broadband products and technologies.", "summaryDescription" : "Automation QA Engineer at Ubiquiti. Skills: QA Automation, Python, Networking. Design test. Implement test", "postedDate" : "2026-06-14T20:43:44.838", "createdAt" : "2026-06-14T20:43:44.838", "lastUpdated" : "2026-06-15T23:06:32.396", "ingestTimestamp" : "2026-06-14T20:43:44.838", "mongoId" : "6a2c7dc374d8ee00a0950b35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software QA methodologies", "Networking", "QA Automation", "Python", "L2/L3 networking", "Embedded systems", "PyTest" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1268.6554, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc374d8ee00a0950b32", "title" : "Automation QA Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Automation QA Engineer in Romania, adjusted for mid-seniority and the technology industry." }, "location" : "Romania", "locations" : [ "Romania" ], "timestamp" : "2026-06-16T00:23:34.554", "fingerprint" : "f70c5a594bb83ac5336988a75e91a871ab195ebf79630a15c3e2b173ad6a0f87", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4074896009", "externalId" : "4074896009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Romania", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Romania", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Linux, Shell scripting", "professionalSkills" : [ "Software testing", "QA Automation", "Manual testing", "Networking", "Embedded systems" ], "hardSkillsList" : [ "Software QA methodologies" ], "hardSkills" : [ { "name" : "Software QA methodologies", "level" : "intermediate" } ], "majorSkills" : "QA Automation, Python, Networking, Linux", "majorSkillsList" : [ "QA Automation", "Python", "Networking", "Linux" ], "coreResponsibilities" : "Design test, Implement test, Take part in test planning, Extend Python test functionality, Adapt tools, Create tools, Support new features, Support new hardware, Support MQA lab setups", "domainKnowledge" : "Networking; Embedded systems", "domainList" : [ "networking", "embedded-systems" ], "domainSpecificKnowledge" : [ "Networking", "Embedded systems" ], "toolProficiency" : [ "PyTest" ], "communicationSkills" : "Spoken English; Written English", "continuousLearning" : "Courses; Training; Conferences; Business trips", "qualificationsBasic" : "3+ years software testing, 1+ year QA Automation(backend), 1 year manual testing, 5+ years networking knowledge, BS degree in Computer Science", "qualificationsPreferred" : "Knowledge of software QA methodologies, Experience with testing networks, Experience with embedded systems, Good knowledge of Linux administration, Solid knowledge of shell scripting, Experience with Python test frameworks, Upper-intermediate spoken/written English", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Design and implement wide variety of test scripts; Take part in test planning and estimation; Extend functionality of Python test framework; Adapt and create tools to support new features/hardware; MQA lab setups maintaining; Knowledge and experience 3+ years of software testing experience; 1+ year QA Automation(backend) using Python, 1 year of manual testing experience; 5+ years networking related experience; Strong knowledge of software QA methodologies, tools and processes; Experience with testing of networks and embedded systems; Good knowledge of Linux administration and shell scripting; Solid knowledge of Python; Experience with Python test frameworks (PyTest, etc.); Upper-intermediate level of spoken and written English; BS degree in Computer Science or related engineering degree. Benefits International work environment and work with global development teams Compensation package matching global standards Flexible work hours (as required) Paid parking, courses, training, conferences and business trips We will contact candidates who meet our criteria within the next two weeks.", "summaryDescription" : "Automation QA Engineer at Ubiquiti. Skills: QA Automation, Python, Networking, Linux. Design test. Implement test", "postedDate" : "2026-06-14T19:19:16.190", "createdAt" : "2026-06-14T19:19:16.190", "lastUpdated" : "2026-06-16T00:23:34.554", "ingestTimestamp" : "2026-06-14T19:19:16.190", "mongoId" : "6a2c7dc374d8ee00a0950b32", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Software QA methodologies", "QA Automation", "Python", "Networking", "Linux", "Software testing", "Manual testing", "Embedded systems", "PyTest" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1260.5925, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950c84", "title" : "QA Automation Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 2500.0, "max" : 5000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Lithuania", "locations" : [ "Lithuania" ], "timestamp" : "2026-06-16T01:53:06.697", "fingerprint" : "acd6c5d16c52fef5535208c25fb8bfd386190fc43ed4c0b033b7e6a5966c2584", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4079335009", "externalId" : "4079335009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Lithuania", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI tools, Claude, Codex", "hardSkillsList" : [ "MQA testing" ], "hardSkills" : [ { "name" : "MQA testing", "level" : "intermediate" } ], "majorSkills" : "QA Automation", "majorSkillsList" : [ "QA Automation" ], "coreResponsibilities" : "Create automated test, Maintain automated test, Execute automated test, Identify bugs, Report bugs, Perform front-end testing, Perform back-end testing, Analyse release notes, Analyse project documentation, Update test scenarios", "teamCollaboration" : "Global development", "domainKnowledge" : "Network type; Internet; WiFi; VLAN; Firewall; VPN", "domainList" : [ "network-type", "internet", "wifi", "vlan", "firewall", "vpn" ], "domainSpecificKnowledge" : [ "Network type", "Internet", "WiFi", "VLAN", "Firewall", "VPN" ], "toolProficiency" : [ "Jenkins", "Groovy", "Bash" ], "qualificationsBasic" : "3+ years AQA experience, Fluent in English, Fluent in Lithuanian", "qualificationsPreferred" : "Jenkins pipelines + DSL (Groovy), Bash, System DevOps, Network administration", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Day-to-day work with various kind of Network type devices; Create, maintain and execute automated test scripts; Identify and report bugs, ensuring proper follow-up; Perform front-end and back-end testing throughout the entire QA process; Analyse release notes, project documentation and other project artefacts to identify new or update existing test scenarios. Requirements: 3+ years AQA experience in similar position; Jenkins pipelines + DSL (Groovy); Python; Bash scripting; General understanding in Network (Internet, WiFi, VLAN, Firewall, VPN etc.); Strong understanding in MQA testing process; Experience with AI tools - Claude, Codex, etc; Fluent in English and Lithuanian. Nice to have: JavaScript; System Administration; DevOps (CI/CD setup Network administration. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Kaunas; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 2500 up to 5000 Euro gross monthly); A-class office with all the necessities - snacks, drinks, lunches, free parking, etc!", "summaryDescription" : "QA Automation Engineer at Ubiquiti. Skills: QA Automation. Create automated test. Maintain automated test", "postedDate" : "2026-06-14T19:01:48.091", "createdAt" : "2026-06-14T19:01:48.091", "lastUpdated" : "2026-06-16T01:53:06.697", "ingestTimestamp" : "2026-06-14T19:01:48.091", "mongoId" : "6a2c7dc574d8ee00a0950c84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "MQA testing", "QA Automation", "Network type", "Internet", "WiFi", "VLAN", "Firewall", "VPN", "Jenkins", "Groovy", "Bash" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1260.5494, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3086f2f292fd229c084897", "title" : "Staff QA Automation Engineer", "company" : "ChargePoint", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff QA Automation Engineer in Bangalore, India, adjusted for executive seniority and technology industry." }, "location" : "IN-Karnataka-Bangalore", "locations" : [ "IN-Karnataka-Bangalore" ], "timestamp" : "2026-06-16T14:05:00.881", "fingerprint" : "49a097f18046e40ae2f098b181543e6fe62a0a3ad7788403aa5ecf13b692e432", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.chargepoint.com/about/opportunities/job/?gh_jid=8591784002", "externalId" : "8591784002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "remoteFriendly" : false, "rawDescription" : "About Us With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality. Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market. At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us. Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come. Reports To Director, NOC Delivery & Automation What You will be Doing We are looking for a Staff Test Automation Engineer to lead quality engineering across two high-impact initiatives: our Voice AI, Monitoring & Analytics Platform. In this role you will architect and own the end-to-end test automation strategy, drive quality culture across cross-functional teams, and mentor engineers on best practices. You will work closely with product engineering, platform, and data teams to embed quality upstream, shifting left from reactive bug-finding to proactive prevention at the architecture level. What You Will Bring to ChargePoint Design and own the overall test automation framework and strategy across both Voice AI and Monitoring & Analytics platforms Define test pyramid principles - unit, integration, contract, E2E and enforce them across repositories Lead architecture decisions for automation tooling, CI/CD test pipelines, and observability of test health Establish standards for test data management, environment parity, and flakiness elimination Own the performance testing practice - load, stress, soak, and spike testing for backend services and APIs Define performance baselines, SLOs, and regression gates integrated into CI/CD Instrument test runs with profiling and APM tooling to identify throughput bottlenecks and latency regressions Build scalable performance test harnesses using Locust, k6, or equivalent frameworks Collaboration & Communication: Act as a technical lead and quality champion, influencing engineering culture, coding standards, and test coverage expectations Mentor mid-level and senior engineers on automation patterns, code quality, and testing strategy Partner with product managers to define acceptance criteria and quality gates at the story level Drive root cause analysis on escaped defects and build preventive test coverage Requirements 8+ years of experience in software quality engineering with a strong automation focus Proven track record at Staff level, owning QE strategy for complex distributed systems Expert-level Python clean, testable, production-grade automation code Hands-on experience with Playwright for E2E browser automation including multi-tab, auth flows, and visual testing Deep familiarity with FastAPI and Django - understanding of service internals for effective API-level testing Strong experience designing and executing performance test programs (load, stress, soak) at scale Experience testing cloud-native platforms on GCP, AWS, or Azure, Kubernetes workloads, managed services, event pipelines Familiarity with observability stacks: Prometheus, Grafana, OpenTelemetry, or similar Solid understanding of CI/CD principles and integrating automation into deployment pipelines Excellent communication skills, able to present quality strategy to both engineers and executive stakeholders Location Bangalore, India We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. If there is a match between your experiences/skills and the Company needs, we will contact you directly. ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process. If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com. ChargePoint is an equal opportunity employer. Applicants only - Recruiting agencies do not contact.", "summaryDescription" : "Staff QA Automation Engineer at ChargePoint", "postedDate" : "2026-06-16T01:21:21.192", "createdAt" : "2026-06-16T01:21:21.192", "lastUpdated" : "2026-06-16T14:05:00.881", "ingestTimestamp" : "2026-06-16T01:21:21.192", "mongoId" : "6a3086f2f292fd229c084897", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 1245.1105, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3c574d8ee00a09adcb5", "title" : "QA Automation Engineer", "company" : "Kindgeek", "industry" : "Technology", "salary" : { "min" : 900000.0, "max" : 1500000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level QA Automation Engineer in Lviv, Ukraine, adjusted for the technology industry and full-time employment." }, "location" : "Lviv, UA", "locations" : [ "Lviv", "UA" ], "timestamp" : "2026-06-16T07:08:09.664", "fingerprint" : "e72555f920ecbeeeacc42f1fe5bd5c64daa0c3cfd77246413e4e8893333f75e2", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://kindgeeks.breezy.hr/p/1323f3b73d6f-qa-automation-engineer", "externalId" : "1323f3b73d6f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lviv", "country" : "Ukraine", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.8419520,24.0315921" } ], "locationText" : "Lviv, Ukraine", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Build robust automation frameworks, Validate complex backend systems, Catch issues before release", "qualificationsBasic" : "Detail-driven engineer, Ownership of quality, Reliability of every release", "remoteFriendly" : true, "rawDescription" : "Kindgeek is looking for a detail-driven engineer who takes genuine ownership of quality and cares about the reliability of every release. Your mission will be to build robust automation frameworks, validate complex backend systems, and be the person the team trusts to catch issues before they reach", "summaryDescription" : "QA Automation Engineer at Kindgeek. Build robust automation frameworks. Validate complex backend systems", "createdAt" : "2026-06-14T18:42:13.810", "lastUpdated" : "2026-06-16T07:08:09.664", "ingestTimestamp" : "2026-06-14T18:42:13.810", "mongoId" : "6a2ca3c574d8ee00a09adcb5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 1188.1388, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05774d8ee00a09a1f2f", "title" : "QA Engineer (Manual-Automation)", "company" : "NordVPN", "industry" : "NordVPN", "salary" : { "min" : 11000.0, "max" : 19800.0, "currency" : "PLN", "frequency" : "Yearly" }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T05:10:37.696", "fingerprint" : "4681211a94ec4eca748de5191fe178f8e6a9d29fb4a37c270a8ece168ab0f6fb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/5d0297d0-bab7-48f2-a18b-86d0529753e8/application", "externalId" : "5d0297d0-bab7-48f2-a18b-86d0529753e8", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid - Senior", "technicalSkills" : "Postman, Jira, Confluence, Javascript, Typescript, Cypress, WebdriverIO, Protractor, Selenium, Jest, Docker, BrowserStack", "professionalSkills" : [ "Test case design", "System design" ], "hardSkillsList" : [ "Manual testing", "Automated testing", "Functional testing", "Integration testing", "Web application testing", "Backend system testing", "API testing" ], "softSkillsList" : [ "Problem-solver", "Creative thinkers" ], "hardSkills" : [ { "name" : "Manual testing", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Web application testing", "level" : "intermediate" }, { "name" : "Backend system testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solver" }, { "name" : "Creative thinkers" } ], "majorSkills" : "Manual testing, Automated testing, Quality assurance", "majorSkillsList" : [ "Manual testing", "Automated testing", "Quality assurance" ], "coreResponsibilities" : "Write manual tests, Write automated tests, Conduct complex functional tests, Confirm acceptance criteria, Perform functional testing, Support test processes, Maintain test processes, Improve test processes, Report software defects, Collaborate to resolve defects, Ensure high-quality products, Apply Agile principles, Advocate for product quality, Contribute to testing strategies, Drive testing implementation, Make release process smooth, Train less senior team members, Bring own ideas, Bring own initiatives, Ensure product meets standards", "teamCollaboration" : "Cross-functional development teams; QA team members; Product managers; Developers", "projectManagementSkills" : [ "Agile", "Kanban" ], "domainKnowledge" : "VPN technology; Cybersecurity tools", "domainList" : [ "vpn-technology", "cybersecurity-tools" ], "domainSpecificKnowledge" : [ "VPN technology", "Cybersecurity tools" ], "toolProficiency" : [ "Postman", "Jira", "Confluence", "Gitlab", "Jenkins", "Cypress", "WebdriverIO", "Protractor", "Selenium", "Jest", "Docker", "BrowserStack", "Figma" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Training programs; Mentorship; Career-switch opportunities", "innovationCreativity" : "Creativity; Initiatives", "problemSolvingSkills" : "Problem-solver", "outcomesObjectives" : "Ensure high-quality products; Maintain highest quality standards", "qualificationsBasic" : "Proven experience in quality assurance, Experience with Postman, Experience in test case design, Familiarity with management tools, Quick understanding of complex technical systems, Experience with Agile/Kanban methodologies, Good verbal and written communication skills", "qualificationsPreferred" : "API testing, Virtualization, Gitlab, Jenkins tools, Frontend automatization using script languages, Jest, Docker, BrowserStack, Figma, Selenium", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The world’s most advanced VPN, and a whole lot more. If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands. Your impact? Helping millions take back control of their online security, privacy, and data. The QA department ensures our software products are of the highest quality and efficiency. We are a dedicated team of inspectors who carry out audits to validate quality criteria for customers, management, certifiers, and other stakeholders. We are a medium-sized team of 30+ people where everyone is working on different but connected projects. Yet we strive to maintain our Core QA guild, where we build camaraderie and share ideas and experiences. Good product quality, a positive atmosphere, and strong teamwork are some of our main values. We look for curious and creative thinkers, eager to learn all manner of technical things, to join our ranks. Apply if you think it's you. Main Responsibilities - Write manual and later automated tests to conduct complex functional - integration tests to confirm that the acceptance criteria have been met; - Perform functional testing in web/desktop applications and/or back-end systems (depending on the project); - Support, maintain, and improve all related test cases; - Report software defects and collaborate across multiple development teams to resolve them; - Work closely with product managers, developers, and other QA team members to ensure high-quality products; - Apply Agile principles effectively in day-to-day activities; - Advocate for product quality within a cross-functional development team; - Contribute to identifying testing strategies and driving their implementation together with the QA Guild; - Help make the release process as smooth as possible while maintaining the highest quality; - Train and mentor less senior team members; - Bring your own ideas and initiatives – there is lots of space for creativity and innovation; - Ensure that the product meets high-quality standards for deployment. Core Requirements - Proven experience in quality assurance (frontend, backend, web applications testing); - Experience with Postman and Playwright; - Experience in test case design & management; - Familiarity with management tools (like Jira, Confluence, etc.); - Quick understanding of complex technical systems/structures; - A desire for quality in each and all aspects of the shippable product; - Experience with Agile/Kanban (or similar) methodologies and understanding how to work in dev teams; - Good verbal and written communication skills, written and spoken English; Bonus Points - API testing experience; - Virtualization, Gitlab, Jenkins tools experience; - Frontend automatization using script languages (e.g., Javascript, Typescript or similar) is a plus (Cypress, WebdriverIO, Protractor or other selenium or non-selenium-based frameworks); - Experience with Jest, Axios; - Experience using NodeJS; - Experience with Docker, Postman, BrowserStack/BrowserStack connect, Figma, and Selenium would be a big plus. WHAT WE OFFER Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Fuel your active lifestyle with online workouts led by our Physical Well-Being experts. Unlock a variety of sports and wellness facilities, like gyms, swimming pools, and fitness classes, with the Multisport card. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "QA Engineer (Manual-Automation) at NordVPN. Skills: Manual testing, Automated testing, Quality assurance. Write manual tests. Write automated tests", "createdAt" : "2026-06-14T20:12:18.886", "lastUpdated" : "2026-06-16T05:10:37.696", "ingestTimestamp" : "2026-06-14T20:12:18.886", "mongoId" : "6a2ca05774d8ee00a09a1f2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Manual testing", "Automated testing", "Functional testing", "Integration testing", "Web application testing", "Backend system testing", "API testing", "Problem-solver", "Creative thinkers", "Quality assurance", "Test case design", "System design", "Agile", "Kanban", "VPN technology", "Cybersecurity tools", "Postman", "Jira", "Confluence", "Gitlab", "Jenkins", "Cypress", "WebdriverIO", "Protractor", "Selenium", "Jest", "Docker", "BrowserStack", "Figma" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1182.3268, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307fb1f292fd229c05c880", "title" : "QA Engineer", "company" : "Bridgeway Benefit Technologies", "industry" : "Technology", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level QA Engineer in Bulgaria, adjusted for SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T11:44:33.492", "fingerprint" : "52e4ac2a3798fb8b6fedc72e5bf80917f66426b97de3c071342a634e80b65269", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.bridgewaybentech.com/job-posting?gh_jid=8593241002", "externalId" : "8593241002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Python, JavaScript, SQL, APIs", "professionalSkills" : [ "Test design", "Quality engineering" ], "hardSkillsList" : [ "Software testing", "Automated testing", "Regression testing", "Performance testing", "Usability testing", "Security testing", "Database concepts", "Networking fundamentals" ], "hardSkills" : [ { "name" : "Software testing", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Usability testing", "level" : "intermediate" }, { "name" : "Security testing", "level" : "intermediate" }, { "name" : "Database concepts", "level" : "intermediate" }, { "name" : "Networking fundamentals", "level" : "intermediate" } ], "majorSkills" : "Test automation, Quality assurance, CI/CD", "majorSkillsList" : [ "Test automation", "Quality assurance", "CI/CD" ], "coreResponsibilities" : "Analyze business requirements, Analyze product requirements, Analyze infrastructure requirements, Analyze technical requirements, Collaborate with stakeholders, Clarify requirements, Identify risks, Define testing strategies, Align with DevOps practices, Align with CI/CD practices, Identify testing scope, Identify testing objectives, Identify testing resources, Identify testing timelines, Identify testing deliverables, Design automated test cases, Develop automated test cases, Maintain automated test cases, Design test frameworks, Develop test frameworks, Maintain test frameworks, Create automated test scripts, Manage automated test scripts, Create test suites, Manage test suites, Execute automated tests, Maintain automated tests, Execute manual tests, Maintain manual tests, Initiate automated test runs, Monitor automated test runs, Analyze test results, Validate test coverage, Identify defects, Document defects, Prioritize defects, Track defects, Troubleshoot issues, Validate fixes, Develop understanding user story sizing, Develop understanding test planning, Develop understanding test coverage, Maintain documentation, Prepare test results, Communicate test results, Prepare regression reports, Communicate regression reports, Prepare quality metrics, Communicate quality metrics, Contribute to automation roadmap, Identify automation opportunities, Recommend process improvements, Implement process improvements, Recommend tooling improvements, Implement tooling improvements, Recommend framework improvements, Implement framework improvements, Stay current industry trends, Stay current tools, Stay current best practices", "teamCollaboration" : "Collaborating with engineers; Collaborating with analysts; Partner with software engineers; Partner with quality analysts; Partner with product owners; Partner with business analysts; Partner with scrum masters; Partner with platform teams; Cross-functional stakeholders", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Software quality assurance; Test automation; CI/CD practices; Secure software development", "domainList" : [ "software-quality-assurance", "test-automation", "ci-cd-practices", "secure-software-development" ], "domainSpecificKnowledge" : [ "Software quality assurance", "Test automation", "CI/CD practices", "Secure software development" ], "toolProficiency" : [ "TestComplete", "Playwright", "GitHub", "GitLab", "Azure DevOps" ], "communicationSkills" : "Communicate test results; Communicate quality metrics", "documentationSkills" : "Documentation of test plans; Documentation of test cases; Documentation of automation frameworks; Documentation of regression testing results", "continuousLearning" : "Stay current industry trends; Stay current tools; Stay current best practices", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Troubleshoot issues", "specialRequirements" : "Preference East Coast candidates", "outcomesObjectives" : "Ensure comprehensive test coverage; Ensure acceptance criteria testable; Ensure acceptance criteria automatable; Detect defects early; Prevent regressions; Improve user experience; Reduce risk; Reduce rework; Reduce post-release defects; Increase automation coverage; Improve testing efficiency", "qualificationsBasic" : "4+ years QA experience, 2+ years test automation, Proficiency test automation tools, Solid programming skills, Experience CI/CD tools, Solid understanding testing fundamentals, Proven technical foundation, Experience building automated test frameworks, Analytical and problem-solving skills, Bachelor's degree in Computer Science", "qualificationsPreferred" : "Experience in large-scale environments, Experience in multi-platform environments, Proficiency working in Agile/Scrum environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Bridgeway is seeking a QA Engineer to work in a fast-paced, results driven environment, collaborating with other engineers and analysts. The QA Engineer is responsible for ensuring the quality, reliability, and performance of software products through automated and manual testing practices. Quality Assurance Engineers are integral to the SDLC, leveraging automation frameworks, tooling, and testing strategies to detect defects early, validate requirements, and prevent regressions. This role focuses on building scalable, repeatable, and maintainable automated test solutions that support CI/CD. Quality Assurance Engineers partner closely with software engineers, quality analysts, product owners, business analysts, scrum masters, and platform teams to ensure quality is embedded throughout the development process—improving user experience while reducing risk, rework, and post-release defects. We are seeking a highly motivated individual who thrives in a highly productive team centric environment. This is a remote position with preference given to East Coast candidates. Responsibilities: Analyze and understand business, product, infrastructure, and technical requirements to ensure comprehensive test coverage. Collaborate with cross-functional stakeholders to clarify requirements, identify risks, and ensure acceptance criteria are testable and automatable. Define testing strategies and approaches that align with DevOps and CI/CD practices. Identify testing scope, objectives, resources, timelines, and deliverables for automated and manual testing efforts. Design, develop, and maintain well-structured, reusable, and maintainable automated test cases and frameworks. Create and manage automated test scripts and test suites within Azure DevOps (ADO) or similar platforms. Execute and maintain automated and manual tests, including functional, regression, performance, usability, and security testing. Initiate and monitor automated test runs, analyze results, and validate test coverage for assigned scrum teams. Identify, document, prioritize, and track defects and inconsistencies, partnering closely with developers to troubleshoot issues and validate fixes. Develop a strong understanding of user story sizing, test planning, and test coverage within Agile and Scrum workflows. Maintain clear and detailed documentation of test plans, test cases, automation frameworks, and regression testing results. Prepare and communicate test results, regression reports, and quality metrics to technical and non-technical stakeholders. Actively contribute to the automation roadmap by identifying opportunities to increase automation coverage and improve testing efficiency. Recommend and implement process, tooling, and framework improvements to enhance the effectiveness, scalability, and reliability of the QA practice. Stay current with industry trends, tools, and best practices in test automation, quality engineering, and secure software development. Qualifications: 4+ years of professional software quality assurance experience, including 2+ years in test automation Proficiency with test automation tools and frameworks (e.g., TestComplete, Playwright) Solid programming skills in Java, Python, or JavaScript Experience working with CI/CD tools such as GitHub, GitLab, or Azure DevOps Solid understanding of software testing fundamentals, automated testing strategies, quality engineering principles, and test design best practices Proven technical foundation including SQL, database concepts, APIs, web-based applications, and networking fundamentals Experience building, and maintaining automated test frameworks, tools, and reusable test components Strong analytical and problem-solving skills Bachelor’s degree in Computer Science or a related field Experience in large-scale or multi-platform environments is a plus Proficiency working in Agile/Scrum environments preferred", "summaryDescription" : "QA Engineer at Bridgeway Benefit Technologies. Skills: Test automation, Quality assurance, CI/CD. Analyze business requirements. Analyze product requirements", "postedDate" : "2026-06-16T01:18:53.526", "createdAt" : "2026-06-16T01:18:53.526", "lastUpdated" : "2026-06-16T11:44:33.492", "ingestTimestamp" : "2026-06-16T01:18:53.526", "mongoId" : "6a307fb1f292fd229c05c880", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Software testing", "Automated testing", "Regression testing", "Performance testing", "Usability testing", "Security testing", "Database concepts", "Networking fundamentals", "Test automation", "Quality assurance", "CI/CD", "Test design", "Quality engineering", "Agile", "Scrum", "Software quality assurance", "CI/CD practices", "Secure software development", "TestComplete", "Playwright", "GitHub", "GitLab", "Azure DevOps" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1178.015, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3086daf292fd229c083d5a", "title" : "Quality Automation Engineer", "company" : "Kizen", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-16T10:33:03.854", "fingerprint" : "0ddd43453f5f7a62f2f7bcbf17dabe5c13f33eb99f654cf66edc6a9b40198a84", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://kizen.com/jobs?gh_jid=5263460008", "externalId" : "5263460008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Java, C++, Go, JavaScript, Cloud 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management", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Threat modeling", "level" : "intermediate" }, { "name" : "Security audits", "level" : "intermediate" }, { "name" : "Compliance regulations", "level" : "intermediate" } ], "majorSkills" : "Software development, Distributed systems, Cloud platforms, System design", "majorSkillsList" : [ "Software development", "Distributed systems", "Cloud platforms", "System design" ], "coreResponsibilities" : "Design software systems, Develop software systems, Test software systems, Deploy software systems, Maintain software systems, Optimize software systems, Troubleshoot software systems, Collaborate with teams, Write documentation, Participate in code reviews, Stay updated on technologies", "teamCollaboration" : "Cross-functional teams; Agile methodologies; Code reviews", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Distributed systems; Cloud platforms; Data structures; Algorithms; Object-oriented design; System design; CI/CD; Containerization; Kubernetes; SQL; NoSQL databases; Machine learning; AI; Data engineering; Cybersecurity; Infrastructure as code; Monitoring; Alerting; Database administration; Network engineering; Operating systems; Scripting languages; Build systems; Release management; Incident response; Threat modeling; Security audits; Compliance regulations", "domainList" : [ "distributed-systems", "cloud-platforms", "data-structures", "algorithms", "object-oriented-design", "system-design", "ci-cd", "containerization", "kubernetes", "sql", "nosql-databases", "machine-learning", "ai", "data-engineering", "cybersecurity", "infrastructure-as-code", "monitoring", "alerting", "database-administration", "network-engineering", "operating-systems", "scripting-languages", "build-systems", "release-management", "incident-response", "threat-modeling", "security-audits", "compliance-regulations" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud platforms", "Data structures", "Algorithms", "Object-oriented design", "System design", "CI/CD", "Containerization", "Kubernetes", "SQL", "NoSQL databases", "Machine learning", "AI", "Data engineering", "Cybersecurity", "Infrastructure as code", "Monitoring", "Alerting", "Database administration", "Network engineering", "Operating systems", "Scripting languages", "Build systems", "Release management", "Incident response", "Threat modeling", "Security audits", "Compliance regulations" ], "toolProficiency" : [ "Kubernetes", "Version control systems", "CI/CD", "Containerization" ], "documentationSkills" : "Write documentation", "continuousLearning" : "Stay updated on technologies", "problemSolvingSkills" : "Troubleshoot software systems", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in software development, Experience with Python, Experience with Java, Experience with C++, Experience with Go, Experience with JavaScript, Experience with cloud platforms, Experience with distributed systems, Experience with data structures, Experience with algorithms, Experience with object-oriented design, Experience with system design, Experience with CI/CD, Experience with containerization, Experience with Kubernetes, Experience with SQL, Experience with NoSQL databases, Experience with testing frameworks, Experience with debugging tools, Experience with version control systems, Experience with Agile methodologies", "qualificationsPreferred" : "Master's degree or PhD, Experience with machine learning, Experience with AI, Experience with data engineering, Experience with cybersecurity, Experience with performance tuning, Experience with scalability, Experience with reliability, Experience with security best practices, Experience with infrastructure as code, Experience with monitoring and alerting, Experience with database administration, Experience with network engineering, Experience with operating systems, Experience with scripting languages, Experience with build systems, Experience with release management, Experience with incident response, Experience with threat modeling, Experience with security audits, Experience with compliance regulations, Experience with project management tools, Experience with documentation tools, Experience with communication tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Location: Austin “Domain North Side” (In-office 4x per week) Quality Automation Engineer About Us Kizen’s Platform, AI Agents & True Context Technology (TCT) power millions of mission critical experiences for leading organizations in highly regulated industries (insurance, healthcare, financial services). Our platform helps organizations automate the workflows that matter most — from helping insurance agents manage contracting and commissions, to enabling healthcare providers to deliver proactive patient care, to empowering financial institutions to classify documents and extract data automatically. And that’s just the beginning. With Kizen, developers can build new enterprise applications and impactful AI agents, while business users can customize dashboards and agents using natural language, low-code, or code — all on the same platform. What used to take months or years to build, configure, and connect now takes just days. Kizen combines powerful pre-built agents and use cases with an enterprise platform for automation and data connection — all built on an AI-first architecture that’s easy to adopt, scale, and trust. We’re solving real operational problems and helping the world’s most complex organizations work faster, smarter, and more humanely. Join us in transforming how industries work — one workflow, one agent, and one customer success story at a time. About the Role We are looking for a hands-on Quality Automation Engineer with a history of attention to detail and passion for quality as we bring our next-gen platform to the world. This is an opportunity of a lifetime for a Quality Automation Engineer who wants to be at the heart of the AI movement to better humanity. As the Quality Automation Engineer you’ll architect and maintain automated test frameworks, drive quality initiatives, identify defects, and ensure our platform exceeds the highest standards. You’ll be working directly with our QA Manager to enhance test coverage and improve testing efficiency. In this dynamic role, you’ll support our teams responsible for: Test Automation: Designing, developing, and maintaining robust automated test suites for new features and product releases. Defect Prevention & Detection: Proactively identifying, documenting, and tracking issues, using automation to increase speed and coverage. Collaboration: Collaborating cross-functionally with product owners and developers to troubleshoot and resolve issues. Quality Assurance Improvement: Contribute to our growing team in refining testing processes to enhance product reliability. Key Responsibilities Automation Strategy & Test Development: Develop, maintain, and expand automated test suites with a deep understanding of how the application’s components interact. Review planned functionality and help design end-to-end testing strategies that ensure both core and edge case coverage. Quality Ownership & Creative Testing: Thoroughly validate new features and acceptance criteria, not just for basic flows, but by creatively simulating unique and complex user scenarios. Conduct regular test plan audits to find improvement areas and raise the bar on overall product quality. Defect Management & Troubleshooting: Proactively identify, document, and track defects, writing detailed tickets with clear reproduction steps. Meet technical issues head-on: collaborate closely with engineers and product owners to troubleshoot, resolve, and prevent recurring issues. Collaboration & Engineering Culture: Contribute actively to a culture of accountability, teamwork, and quality using the Kizen software development life-cycle. Act as a key partner in code reviews, planning sessions, and retrospectives to embed quality at every step. Documentation, Reporting & Growth: Maintain comprehensive test documentation and keep test results and risks visible to stakeholders. Set personal growth goals, seek feedback, and engage in regular career advancement discussions with your manager. Requirements 2+ years of professional QA Manual experience 1+ years of professional QA Automation experience 2+ years of coding experience in one or more languages (e.g., Python, JavaScript, Java, or Ruby). Deep understanding of QA methodologies. Hands-on experience with automation frameworks (Playwright, Selenium, Cypress, or similar). Experience designing, maintaining, and scaling automated test suites Familiarity with defect tracking tools (Jira, Trello, etc.) and test management platforms. Startup or fast-growth company experience. Strong attention to detail and a proven ability to spot anomalies and edge cases. Excellent verbal and written communication skills. Self-motivated, adaptable, and comfortable working independently or as part of a team. Willingness to mentor and guide more junior testers/engineers. Passion for continuous learning, improvement, and embracing new technologies. Aptitude for clear documentation and knowledge sharing. Why Kizen We’re a fast-growing company that values innovation, growth, and continuous improvement. By joining Kizen, you’ll play a pivotal role in shaping the future of the company while enjoying a supportive, dynamic, and collaborative workplace. You’ll have opportunities for professional development, impact, and career advancement. What We Offer Career Growth Opportunities Engaging Work Culture Top-Tier Compensation Equity Package Healthcare Coverage Health and Fitness Stipend Professional Development Stipends PTO Kizen is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Kizen, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. The base salary range for this position is $75,000-$95,000. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer generous equity and benefits packages. If you’re excited about creating impactful experiences and contributing to a fast-paced, people-focused team, we’d love to meet you! OTE: $86,250-$109,250", "summaryDescription" : "Quality Automation Engineer at Kizen. Skills: Software development, Distributed systems, Cloud platforms, System design. Design software systems. Develop software systems", "postedDate" : "2026-06-16T01:21:18.234", "createdAt" : "2026-06-16T01:21:18.234", "lastUpdated" : "2026-06-16T10:33:03.854", "ingestTimestamp" : "2026-06-16T01:21:18.234", "mongoId" : "6a3086daf292fd229c083d5a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Software development", "Data structures", "Algorithms", "Object-oriented design", "System design", "CI/CD", "Containerization", "Kubernetes", "SQL", "NoSQL databases", "Testing frameworks", "Debugging tools", "Version control systems", "Machine learning", "AI", "Data engineering", "Cybersecurity", "Infrastructure as code", "Monitoring", "Alerting", "Database administration", "Network engineering", "Operating systems", "Scripting languages", "Build systems", "Release management", "Incident response", "Threat modeling", "Security audits", "Compliance regulations", "Distributed systems", "Cloud platforms", "Performance tuning", "Scalability", "Reliability", "Security best practices", "Agile methodologies" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1164.4198, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6c4574d8ee00a0917d9c", "title" : "QA Engineer (Manual & Automation)", "company" : "CodeRoad", "industry" : "Technology", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior QA Engineer in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T07:12:31.301", "fingerprint" : "764fc67b3559639949e26b7256d4f55e7f3be4590f4f1cc910041dc9fe67e196", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/coderoad/jobs/4281067009", "externalId" : "4281067009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NET, C#, Microsoft technology stack, Selenium WebDriver, JavaScript, React, AngularJS, CSS, HTML, RESTful web services, APIs, HttpClient, SpecFlow, NUnit, XUnit, Azure Service Bus, Octopus Deploy, TeamCity, MS SQL Server, MongoDB", "professionalSkills" : [ "Software development", "Design principles", "Root-cause analysis", "Logical analysis" ], "hardSkillsList" : [ "Automated test frameworks", "Test plans", "Test case designs", "Code reviews", "Testing patterns", "Automated test suites", "Bug reports" ], "softSkillsList" : [ "Ownership mindset", "Adaptability" ], "hardSkills" : [ { "name" : "Automated test frameworks", "level" : "intermediate" }, { "name" : "Test plans", "level" : "intermediate" }, { "name" : "Test case designs", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "Testing patterns", "level" : "intermediate" }, { "name" : "Automated test suites", "level" : "intermediate" }, { "name" : "Bug reports", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" }, { "name" : "Adaptability" } ], "majorSkills" : "Manual testing, Test automation, Selenium WebDriver, C#", "majorSkillsList" : [ "Manual testing", "Test automation", "Selenium WebDriver", "C#" ], "coreResponsibilities" : "Own testing lifecycle, Optimize testing lifecycle, Perform manual exploratory testing, Perform advanced test automation, Deliver validated features, Design automated test frameworks, Build automated test frameworks, Maintain automated test frameworks, Lead test plan design, Lead test plan execution, Formulate test case designs, Review test script code, Establish testing patterns, Research QA tools, Evaluate QA tools, Recommend QA tools, Integrate automated test suites, Analyze technical defects, Troubleshoot technical defects, Document bug reports, Document technical findings", "teamCollaboration" : "Cross-functional Scrum POD; Product Owners; Architects; Software Engineers", "projectManagementSkills" : [ "Scrum", "Kanban" ], "domainKnowledge" : "Enterprise applications; Multi-tier web applications; Continuous delivery pipeline; Cloud-native messaging; Cloud infrastructure", "domainList" : [ "enterprise-applications", "multi-tier-web-applications", "continuous-delivery-pipeline", "cloud-native-messaging", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Enterprise applications", "Multi-tier web applications", "Continuous delivery pipeline", "Cloud-native messaging", "Cloud infrastructure" ], "toolProficiency" : [ "Selenium WebDriver", "Postman", "SpecFlow", "NUnit", "XUnit", "Azure Service Bus", "Octopus Deploy", "TeamCity" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Bug reports; Technical findings", "problemSolvingSkills" : "Troubleshooting; Logical analysis; Root-cause analysis", "outcomesObjectives" : "Deliver fully validated features; Accelerate continuous delivery pipeline; Guarantee robust releases; Guarantee scalable releases; Guarantee production-ready releases", "qualificationsBasic" : "5+ years of professional experience in QA engineering, Emphasis on .NET, C#, and Microsoft technology stack, Deep Technical Expertise in Selenium WebDriver using C#, Object-oriented software development and design principles, Proficiency in JavaScript, React, AngularJS, CSS, and HTML, Proven Track Record in testing RESTful web services and APIs, Agile Background with extensive experience in Scrum or Kanban", "qualificationsPreferred" : "Hands-on experience with Behavior-Driven Development (BDD) frameworks, Experience with unit testing frameworks, Direct exposure to Azure Service Bus, Direct exposure to Octopus Deploy, Direct exposure to TeamCity, Familiarity with MS SQL Server, Familiarity with MongoDB", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About CodeRoad CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape. About the Role We are seeking a high-caliber Quality Assurance Engineer to anchor the testing strategy within a high-performing, cross-functional Scrum POD. In this role, you will bridge the gap between manual precision and robust automation, collaborating directly with Product Owners, Architects, and Software Engineers to maintain the technical backbone of our enterprise, multi-tier web applications. You will be responsible for evaluating complex business workflows and ensuring that testing activities seamlessly align with architectural direction and engineering best practices. This role is critical to accelerating our continuous delivery pipeline and guaranteeing that every release is robust, scalable, and production-ready. By advocating for quality early in the Software Development Life Cycle (SDLC) and driving the development of automated test frameworks, your leadership will directly impact product stability and the overall velocity of the engineering team. Key Responsibilities Own and Optimize the end-to-end testing lifecycle, balancing rigorous manual exploratory testing with advanced test automation to deliver fully validated, \"done\" features at the end of each sprint. Design, Build, and Maintain scalable automated test frameworks from scratch using Selenium WebDriver and C# to support continuous testing initiatives. Lead the design and execution of comprehensive test plans, formulating test case designs, executing code reviews for test scripts, and establishing testing patterns across the organization. Collaborate closely with Architects and Software Engineers on complex, enterprise-level initiatives to research, evaluate, and recommend cutting-edge QA tools and technologies. Integrate automated test suites into continuous integration and continuous deployment (CI/CD) pipelines to foster a shift-left quality culture. Analyze and Troubleshoot complex technical defects, utilizing deep logical and root-cause analysis to document clear, reproducible bug reports and technical findings. Requirements 5+ years of professional experience in QA engineering, with a strong emphasis on .NET, C#, and the Microsoft technology stack for building automated test suites. Deep Technical Expertise in Selenium WebDriver using C#, alongside object-oriented software development and design principles for enterprise applications. Solid Proficiency in front-end technologies including JavaScript, React, AngularJS, CSS, and HTML for efficient element identification and UI testing. Proven Track Record in testing RESTful web services and APIs using automated C# HttpClient approaches or specialized tooling (e.g., Postman). Strong Agile Background with extensive experience in Scrum or Kanban frameworks, showcasing an ability to break down complex stories into thin slices of deliverable features. Soft Skills: An ownership mindset, exceptional analytical troubleshooting skills, a team-first attitude, and the adaptability to learn complex business workflows rapidly. Advanced English (excellent written and verbal communication skills). Nice to Have Hands-on experience with Behavior-Driven Development (BDD) frameworks like SpecFlow, or unit testing frameworks such as NUnit/xUnit. Direct exposure to cloud-native messaging and infrastructure components, specifically Azure Service Bus, Octopus Deploy, and TeamCity. Familiarity with both relational and non-relational database ecosystems, such as MS SQL Server and MongoDB. What You’ll Love 100% Remote Holidays off Paid Time Off Health insurance assistance Competitive USD compensation Growth opportunities", "summaryDescription" : "QA Engineer (Manual & Automation) at CodeRoad. Skills: Manual testing, Test automation, Selenium WebDriver, C#. Own testing lifecycle. Optimize testing lifecycle", "postedDate" : "2026-06-14T21:47:17.449", "createdAt" : "2026-06-14T21:47:17.449", "lastUpdated" : "2026-06-16T07:12:31.301", "ingestTimestamp" : "2026-06-14T21:47:17.449", "mongoId" : "6a2c6c4574d8ee00a0917d9c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Automated test frameworks", "Test plans", "Test case designs", "Code reviews", "Testing patterns", "Automated test suites", "Bug reports", "Ownership mindset", "Adaptability", "Manual testing", "Test automation", "Selenium WebDriver", "C#", "Software development", "Design principles", "Root-cause analysis", "Logical analysis", "Scrum", "Kanban", "Enterprise applications", "Multi-tier web applications", "Continuous delivery pipeline", "Cloud-native messaging", "Cloud infrastructure", "Postman", "SpecFlow", "NUnit", "XUnit", "Azure Service Bus", "Octopus Deploy", "TeamCity" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1140.2938, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c916274d8ee00a0982ab5", "title" : "Senior QA Automation Engineer", "company" : "Mangopay", "salary" : { "min" : 15000.0, "max" : 18000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mangopay", "locations" : [ "Mangopay" ], "timestamp" : "2026-06-16T00:56:57.790", "fingerprint" : "16ca51caed5d2e7c60d75e0919782503cde4b32326c76a9ba266f9b9e99937cb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangopay/jobs/4864828101", "externalId" : "4864828101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" }, { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" }, { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" }, { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" }, { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" }, { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "Madrid, Spain; Paris, France; Warsaw, Poland; Berlin, Germany; Luxembourg, Luxembourg; London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Mangopay is a wallet-based payment infrastructure built specifically for organisations with complex, multi-party fund flows. A pioneer in multi-party payments. Our solution optimises fund flows on behalf of the organisations we work with using wallets as programmable, composable building blocks. Mangopay’s regulated platform collects payments, secures transactions and holds funds, splits money between the various parties in the funds flow, and ultimately manages the payout to service providers, sellers, and consumers. Platforms and fintechs using Mangopay regain control and transparency over multi-party payment flows, generate additional revenue, and improve operational efficiency. They can stay compliant while innovating and scaling. Our team of 300+ people is spread across offices in Madrid, Paris, Warsaw, Berlin, Luxembourg and London. We're looking for talented individuals to join us in tackling the exciting challenges ahead. At Mangopay, you’ll be part of a supportive, diverse team committed to building scalable solutions and driving change in the fintech space! Job Description To support the strong growth of our business and the scaling up of our modular payments platform, MANGOPAY is expanding and looking for a Senior QA Automation Engineer. As a member of one of our squads, you will be responsible for representing QA. You will collaborate closely with Product and Development representatives. You will serve as the quality advocate within your squad. Our different squads work on various functional areas of our platform through technical or product initiatives that make up our roadmap. Your role will be to contribute to your squad’s roadmap while considering QA needs and objectives. This includes improving and facilitating deliverables and providing a clear picture of the product’s quality. What will you be responsible for? Ensuring clarity of the quality of a release as well as the follow-up of identified problems Leading the implementation and maintenance of automated functional and non-functional testing (involves APIs) Research and identification of new automation solutions, tools, and processes to improve the existing ones Sharing best practices with the PM/DEV team by taking a cross-functional view of QA Ensuring the follow-up of production releases as well as events that may occur Ensuring the implementation and monitoring of performance KPIs for production Technical stack : Playwright, K6, Postman Datadog, Elasticsearch (Kibana, Elastalert), Grafana Git (Gitlab), TeamCity, Octopus Deploy Jira, XRay for Jira What do we expect from you? 5 years of experience as an Automation QA Engineer Experience in API testing Extensive knowledge of TS/JS Experience using test frameworks such as Playwright (mandatory at least 3 years), k6 (would be a plus), Cypress would be optional Experience with C# would be ideal Agile QA mindset: working in an Agile context is important to you Strong knowledge of testing best practices: familiar with the ‘Test Pyramid’ and ‘Test Quadrants’ Experience with reporting and monitoring aspects Excellent analytical skills, autonomy, and attention to detail English is mandatory for this role Our budget for this role: Standard contract: 15.000PLN /18.000 PLN gross monthly B2B: 16.000 PLN / 18.000 PLN netto + VAT monthly + 30 paid days non service We care about equal employment opportunities, so all qualified applicants will receive equal consideration regardless of their race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.", "summaryDescription" : "Senior QA Automation Engineer at Mangopay", "postedDate" : "2026-06-14T20:11:49.837", "createdAt" : "2026-06-14T20:11:49.837", "lastUpdated" : "2026-06-16T00:56:57.790", "ingestTimestamp" : 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"db6f0cdee5191f5642ae42f30cae4c9cde858a72703cc9c357d040a1339020d9", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://insightful.breezy.hr/p/3a51ff897fbb-qa-automation-engineer", "externalId" : "3a51ff897fbb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "belgrade", "state" : "central serbia", "country" : "Serbia", "continent" : "europe", "source" : "locations-index", "geo" : "44.80401,20.46513" } ], "locationText" : "Belgrade, RS", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "Open positions", "summaryDescription" : "QA Automation Engineer at Insightful", "createdAt" : "2026-06-13T23:57:27.213", "lastUpdated" : "2026-06-15T04:50:12.680", "ingestTimestamp" : "2026-06-13T23:57:27.213", "mongoId" : "6a186ad158b93c861e19b8fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 1101.8124, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2d58f074d8ee00a0b87c8d", "title" : "Senior QA / Quality Engineer", "industry" : "Technology", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior QA/Quality Engineer in Groningen, Netherlands, adjusted for seniority and the technology industry." }, "location" : "Groningen, NL", "locations" : [ "Groningen", "NL" ], "timestamp" : "2026-06-15T13:43:21.614", "fingerprint" : "124afb0a546bdc53d0e2e9d3ca86b7203a4a885711d3ca488895ca3670f81eec", "source" : "personio", "language" : "en", "applyUrl" : "https://ytec.jobs.personio.de/job/2654355", "externalId" : "2654355", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Groningen", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.2190652,6.5680077" } ], "locationText" : "Groningen, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Software testing, Quality assurance, API testing, Backend systems", "professionalSkills" : [ "Problem-solving skills", "Pragmatic decision-making" ], "hardSkillsList" : [ "Functional testing", "Integration testing", "Regression testing", "Acceptance testing", "Exploratory testing" ], "hardSkills" : [ { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Acceptance testing", "level" : "intermediate" }, { "name" : "Exploratory testing", "level" : "intermediate" } ], "majorSkills" : "Quality assurance, Test automation", "majorSkillsList" : [ "Quality assurance", "Test automation" ], "coreResponsibilities" : "Define QA processes, Improve QA processes, Maintain QA processes, Design test strategies, Design test plans, Perform functional testing, Perform integration testing, Perform regression testing, Perform acceptance testing, Perform exploratory testing, Perform API testing, Identify risks early, Prevent quality issues, Contribute to test automation, Improve release readiness, Improve deployment confidence, Promote quality mindset", "teamCollaboration" : "Work closely with developers; Work closely with product owners; Work closely with project managers; Work closely with customers", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Custom software projects", "domainList" : [ "custom-software-projects" ], "domainSpecificKnowledge" : [ "Custom software projects" ], "toolProficiency" : [ "Quality tooling" ], "communicationSkills" : "English", "documentationSkills" : "Test plans; Test cases; Test strategies", "continuousLearning" : "Training budget; Courses; Certifications", "innovationCreativity" : "Shape QA standards", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Flexible working hours, Company laptop", "outcomesObjectives" : "Balance quality standards with business realities", "qualificationsBasic" : "5 years of experience, Experience creating test plans, Experience testing APIs, Experience testing backend systems, Experience working in Agile/Scrum", "qualificationsPreferred" : "Genuinely care about software quality, Identify problems before customers, Take initiative rather than waiting, Continuously improve knowledge, Help developers become better", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Your mission Define, improve, and maintain QA processes across multiple projects Design test strategies and test plans based on project risks and requirements Perform functional, integration, regression, acceptance, exploratory, and API testing Identify risks early and proactively prevent quality issues Work closely with developers, product owners, project managers, and customers Help teams improve quality throughout the entire software development lifecycle Contribute to test automation initiatives and quality tooling Improve release readiness and deployment confidence Promote a quality-first mindset within the organization Your profile At least 5 years of experience in software testing and quality assurance Experience creating test plans, test cases, and test strategies Experience with functional, integration, regression, acceptance, and exploratory testing Experience testing APIs and backend systems Strong analytical and problem-solving skills Experience working in Agile/Scrum environments Excellent communication skills in English A proactive mindset and strong sense of ownership Attention to detail combined with pragmatic decision-making You genuinely care about software quality You identify problems before customers do You take initiative rather than waiting for instructions You continuously improve your knowledge of testing methodologies and tools You help developers and teams become better, not just report bugs You can balance quality standards with practical business realities Why us? Challenging custom software projects A highly skilled and technical team Short communication lines and little bureaucracy Significant influence on how quality is approached within the company Opportunities to improve processes and shape QA standards A culture that values expertise, ownership, and continuous improvement A competitive salary based on experience A training budget to further develop yourself through courses, certifications, an events; 25 vacation days to ensure sufficient rest and relaxation; An attractive (optional) pension plan in which we double your contribution; A company laptop and phone; Flexible working hours that you can arrange yourself; Hybrid working is fully supported Fun outings with your team and the chance to challenge your colleagues to a game of table tennis, chess, or pool.", "summaryDescription" : "Senior QA / Quality Engineer. Skills: Quality assurance, Test automation. Define QA processes. Improve QA processes", "createdAt" : "2026-06-14T06:33:29.077", "lastUpdated" : "2026-06-15T13:43:21.614", "ingestTimestamp" : "2026-06-14T06:33:29.077", "mongoId" : "6a2d58f074d8ee00a0b87c8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Functional testing", "Integration testing", "Regression testing", "Acceptance testing", "Exploratory testing", "Quality assurance", "Test automation", "Problem-solving skills", "Pragmatic decision-making", "Agile", "Scrum", "Custom software projects", "Quality tooling" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1095.6743, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc374d8ee00a0950b2c", "title" : "AI-driven QA Engineer", "company" : "Ubiquiti Inc.", "industry" : "Technology", "salary" : { "min" : 2500.0, "max" : 5000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Latvia", "locations" : [ "Latvia" ], "timestamp" : "2026-06-16T06:48:53.475", "fingerprint" : "97be2d2d7c95ceb8ff58dd91a78efcfc98f3e05100bcdf02c2cb65b84450a758", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4182935009", "externalId" : "4182935009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Latvia", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Latvia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Ruby, TypeScript, Bash, Cucumber, AI tools, Claude, Codex", "professionalSkills" : [ "Test planning", "Bug reporting", "Troubleshooting", "UX design" ], "hardSkillsList" : [ "Manual testing", "Automation testing", "Web testing", "Mobile testing", "AI implementation", "Networking", "MQA testing", "AQA testing" ], "hardSkills" : [ { "name" : "Manual testing", "level" : "intermediate" }, { "name" : "Automation testing", "level" : "intermediate" }, { "name" : "Web testing", "level" : "intermediate" }, { "name" : "Mobile testing", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "MQA testing", "level" : "intermediate" }, { "name" : "AQA testing", "level" : "intermediate" } ], "majorSkills" : "QA Engineering, AI implementation, Networking", "majorSkillsList" : [ "QA Engineering", "AI implementation", "Networking" ], "coreResponsibilities" : "Plan manual testing initiatives, Lead manual testing initiatives, Plan automation testing initiatives, Lead automation testing initiatives, Ensure software releases meet or exceed, Identify opportunities for product, Communicate opportunities for product, Report bugs/errors to development teams, Help troubleshoot, Work with networking equipment for test coverage, Design AI-powered solutions, Test AI-powered solutions, Implement AI-powered solutions", "teamCollaboration" : "Collaborative team; Global development", "projectManagementSkills" : [ "Test planning" ], "domainKnowledge" : "Networking; Internet; WiFi; VLAN; Firewall; VPN; MQA; AQA; OSI layer; AI solutions", "domainList" : [ "networking", "internet", "wifi", "vlan", "firewall", "vpn", "mqa", "aqa", "osi-layer", "ai-solutions" ], "domainSpecificKnowledge" : [ "Networking", "Internet", "WiFi", "VLAN", "Firewall", "VPN", "MQA", "AQA", "OSI layer", "AI solutions" ], "toolProficiency" : [ "TestRail", "Test Suite" ], "communicationSkills" : "English; Latvian", "continuousLearning" : "Leverage modern AI tools", "innovationCreativity" : "AI solution implementation", "problemSolvingSkills" : "Troubleshoot; Root cause analysis", "outcomesObjectives" : "Ensure software releases meet or exceed", "qualificationsBasic" : "3+ years of experience testing modern Web and Mobile, Experience with TestRail/Test Suite creation, Experience with AI tools - Claude, Codex, etc, Experience with Ruby/TypeScript, Bash, Cucumber, Enjoys working in a collaborative team, General understanding in Networking (Internet, WiFi, VLAN, Firewall, VPN etc.), Understanding in MQA and AQA testing, Feel for a great UX and finding facing, Fluent in English and Latvian", "qualificationsPreferred" : "Experience with hardware, Experience with OSI layer/WiFi/Networks/VPN/Firewalls, or anything similar", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Plan and lead manual and automation testing initiatives to ensure software releases meet or exceed requirements; Identify and communicate opportunities for product improvement; Report bugs/errors to development teams and help troubleshoot issues; Work with networking equipment for test coverage purposes; AI solution implementation: Design, test, and implement AI-powered solutions for internal processes and customer-facing products. Requirements: 3+ years of experience testing modern Web and Mobile Applications; Experience with TestRail/Test Suite creation, or others; Experience with AI tools - Claude, Codex, etc. Experience with Ruby/TypeScript, Bash, Cucumber, Jenkins; Enjoys working in a collaborative team environment; General understanding in Networking (Internet, WiFi, VLAN, Firewall, VPN etc.); Strong understanding in MQA and AQA testing process; Feel for a great UX and finding facing issues; Fluent in English and Latvian. Nice to have: Experience with hardware devices; Experience with OSI layer/WiFi/Networks/VPN/Firewalls, or anything similar. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Riga; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 2500 up to 5000 Euro gross monthly); A-class office with all the necessities - snacks, drinks, free parking, etc!", "summaryDescription" : "AI-driven QA Engineer at Ubiquiti Inc.. Skills: QA Engineering, AI implementation, Networking. Plan manual testing initiatives. Lead manual testing initiatives", "postedDate" : "2026-06-14T21:30:40.103", "createdAt" : "2026-06-14T21:30:40.103", "lastUpdated" : "2026-06-16T06:48:53.475", "ingestTimestamp" : "2026-06-14T21:30:40.103", "mongoId" : "6a2c7dc374d8ee00a0950b2c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Manual testing", "Automation testing", "Web testing", "Mobile testing", "AI implementation", "Networking", "MQA testing", "AQA testing", "QA Engineering", "Test planning", "Bug reporting", "Troubleshooting", "UX design", "Internet", "WiFi", "VLAN", "Firewall", "VPN", "MQA", "AQA", "OSI layer", "AI solutions", "TestRail", "Test Suite" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1087.4175, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c759a74d8ee00a09379e0", "title" : "QA Engineer, AI Products", "company" : "MDCalc", "industry" : "Engineering", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior QA Engineer in Bulgaria, adjusted for the healthcare industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T06:25:02.888", "fingerprint" : "e16167fd7b16942205d9300532a02dc73c57dd29fbc53b334d44d8cef257baaf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/mdcalc/cf02b1b2-0963-46cd-bde4-022f007ec311/application", "externalId" : "cf02b1b2-0963-46cd-bde4-022f007ec311", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "LLM, AI, ML, OpenAI, Anthropic", "professionalSkills" : [ "Prompt engineering", "RAG systems", "Evaluation frameworks", "LLM APIs", "Qualitative evaluation", "Rubric-based scoring", "Semantic similarity checks", "Data validation", "Data integrity", "Testability feedback", "Prompt design feedback", "Guardrails feedback" ], "hardSkillsList" : [ "Prompt regression testing", "Output evaluation", "Hallucination detection", "Automated evaluation pipelines", "Black-box testing", "Exploratory testing", "Clinical accuracy testing", "Safety testing", "Edge case testing", "Quality metrics definition", "Failure mode investigation", "Model issue triage", "Prompt issue triage", "Retrieval issue triage", "Integration bug triage", "Test case creation", "Test case documentation", "Deterministic systems testing", "Non-deterministic systems testing", "LLM tooling", "LLM concepts", "LLM evaluation", "LLM APIs", "Automated qualitative evaluation", "LLM-as-judge", "Rubric-based scoring", "Semantic similarity", "Golden dataset regression", "Test automation", "Playwright", "SQL", "Data validation", "Test data creation", "Data integrity verification", "Token usage analysis", "Latency profiling", "Cost monitoring" ], "softSkillsList" : [ "Solutions-oriented attitude", "Clear communicator", "Concise communicator" ], "hardSkills" : [ { "name" : "Prompt regression testing", "level" : "intermediate" }, { "name" : "Output evaluation", "level" : "intermediate" }, { "name" : "Hallucination detection", "level" : "intermediate" }, { "name" : "Automated evaluation pipelines", "level" : "intermediate" }, { "name" : "Black-box testing", "level" : "intermediate" }, { "name" : "Exploratory testing", "level" : "intermediate" }, { "name" : "Clinical accuracy testing", "level" : "intermediate" }, { "name" : "Safety testing", "level" : "intermediate" }, { "name" : "Edge case testing", "level" : "intermediate" }, { "name" : "Quality metrics definition", "level" : "intermediate" }, { "name" : "Failure mode investigation", "level" : "intermediate" }, { "name" : "Model issue triage", "level" : "intermediate" }, { "name" : "Prompt issue triage", "level" : "intermediate" }, { "name" : "Retrieval issue triage", "level" : "intermediate" }, { "name" : "Integration bug triage", "level" : "intermediate" }, { "name" : "Test case creation", "level" : "intermediate" }, { "name" : "Test case documentation", "level" : "intermediate" }, { "name" : "Deterministic systems testing", "level" : "intermediate" }, { "name" : "Non-deterministic systems testing", "level" : "intermediate" }, { "name" : "LLM tooling", "level" : "intermediate" }, { "name" : "LLM concepts", "level" : "intermediate" }, { "name" : "LLM evaluation", "level" : "intermediate" }, { "name" : "LLM APIs", "level" : "intermediate" }, { "name" : "Automated qualitative evaluation", "level" : "intermediate" }, { "name" : "LLM-as-judge", "level" : "intermediate" }, { "name" : "Rubric-based scoring", "level" : "intermediate" }, { "name" : "Semantic similarity", "level" : "intermediate" }, { "name" : "Golden dataset regression", "level" : "intermediate" }, { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Playwright", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Test data creation", "level" : "intermediate" }, { "name" : "Data integrity verification", "level" : "intermediate" }, { "name" : "Token usage analysis", "level" : "intermediate" }, { "name" : "Latency profiling", "level" : "intermediate" }, { "name" : "Cost monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Solutions-oriented attitude" }, { "name" : "Clear communicator" }, { "name" : "Concise communicator" } ], "majorSkills" : "LLM testing, AI product quality, Prompt engineering, Evaluation frameworks", "majorSkillsList" : [ "LLM testing", "AI product quality", "Prompt engineering", "Evaluation frameworks" ], "coreResponsibilities" : "Design test strategies for LLM-powered features, Execute test strategies for LLM-powered features, Perform prompt regression testing, Perform output evaluation, Perform hallucination detection, Build automated evaluation pipelines, Maintain automated evaluation pipelines, Catch quality regressions in non-deterministic outputs, Perform black-box testing of AI features, Perform exploratory testing of AI features, Test clinical accuracy of AI features, Test safety of AI features, Test edge cases of AI features, Define quality metrics for AI outputs, Establish thresholds for release readiness, Investigate AI failure modes, Triage AI failure modes, Distinguish model issues, Distinguish prompt issues, Distinguish retrieval issues, Distinguish integration bugs, Participate in team discussions, Offer feedback on testability, Offer feedback on risks, Offer feedback on prompt design, Offer feedback on guardrails, Develop QA strategies for testing capacity, Develop QA strategies for automation, Develop QA strategies for evaluation coverage", "teamCollaboration" : "Collaborate cross-functionally; Collaborate with engineers; Collaborate with product managers; Collaborate with ML/AI engineers; Collaborate with clinical reviewers; Participate in team discussions", "domainKnowledge" : "LLM-based systems; Non-deterministic outputs; Clinical trustworthiness; Clinical accuracy; Clinical safety; Medical reference tools; Point-of-care tools", "domainList" : [ "llm-based-systems", "non-deterministic-outputs", "clinical-trustworthiness", "clinical-accuracy", "clinical-safety", "medical-reference-tools", "point-of-care-tools" ], "domainSpecificKnowledge" : [ "LLM-based systems", "Non-deterministic outputs", "Clinical trustworthiness", "Clinical accuracy", "Clinical safety", "Medical reference tools", "Point-of-care tools" ], "toolProficiency" : [ "Playwright", "OpenAI", "Anthropic", "Promptfoo", "Braintrust", "LangSmith", "DeepEval", "Ragas", "OpenAI Evals" ], "communicationSkills" : "Surface issues effectively; Surface blockers effectively; Surface risks effectively; Communicate ambiguous failures; Communicate probabilistic failures", "continuousLearning" : "Eagerness to learn quickly", "problemSolvingSkills" : "Investigate failure modes; Triage failure modes; Distinguish issue types", "qualificationsBasic" : "5+ years software QA, 1+ year LLM/AI/ML testing, Understanding of QA principles, Experience with prompt engineering, Experience with RAG systems, Experience with LLM APIs, Experience designing automated qualitative evaluation, Proficiency with test automation tools, SQL skills, Familiarity with token usage, Familiarity with latency profiling, Familiarity with cost monitoring", "qualificationsPreferred" : "Playwright proficiency, Experience with Promptfoo, Experience with Braintrust, Experience with LangSmith, Experience with DeepEval, Experience with Ragas, Experience with OpenAI Evals", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THE OPPORTUNITY Since 2005, MDCalc has been an essential part of the clinician’s workflow to help achieve better patient outcomes. Actively used by more than 65% of physicians worldwide, MDCalc is the most broadly used medical reference – at the point-of-care – for clinical decision tools and content, and one of only four references used by >50% of US HCPs. These evidence-based tools and content are used by millions of medical professionals globally and support 50+ specialties and cover 200+ patient conditions. To continue to further accelerate and steward this growth, we are expanding the AI product team with a QA Engineer. This role will be critical to MDCalc’s expanded success in continuing to support our millions of clinical users worldwide in taking care of hundreds of millions of patients. THE ROLE As a QA Engineer on the AI Products group at MDCalc, you will play a key role in ensuring the quality, reliability, and clinical trustworthiness of MDCalc's AI-powered features. You'll focus on the unique challenges of testing LLM-based systems, where outputs are non-deterministic, correctness is often a spectrum rather than a binary, and regressions can be subtle. You'll be part of a collaborative, fast-moving team that takes pride in delivering software that clinicians trust to care for millions of patients worldwide. The responsibilities of this individual include the following, but are not limited to: - Design and execute test strategies for LLM-powered features, including prompt regression testing, output evaluation, and hallucination detection - Build and maintain automated evaluation pipelines (eval sets, golden datasets, LLM-as-judge frameworks) to catch quality regressions in non-deterministic outputs - Perform black-box and exploratory testing of MDCalc's AI features across web and mobile, with particular attention to clinical accuracy, safety, and edge cases - Define quality metrics for AI outputs (accuracy, faithfulness, relevance, safety, latency, cost) and establish thresholds for release readiness - Collaborate cross-functionally with engineers, product managers, ML/AI engineers, and clinical reviewers to define what \"good\" looks like for AI responses - Investigate and triage AI failure modes, distinguishing model issues, prompt issues, retrieval issues, and integration bugs - Participate in team discussions, offering feedback on testability, risks, prompt design, and guardrails - Help develop QA strategies to expand future testing capacity, automation, and evaluation coverage as the AI product surface grows YOUR BACKGROUND - 5+ years of experience in software QA, with at least 1 year of hands-on testing of LLM-based or AI/ML-powered features - Strong understanding of QA principles, test case creation/documentation, and best practices for both deterministic and non-deterministic systems - Hands-on experience with LLM tooling and concepts: prompt engineering, RAG systems, evaluation frameworks (e.g., Promptfoo, Braintrust, LangSmith, DeepEval, Ragas, OpenAI Evals), and LLM APIs (OpenAI, Anthropic, etc.) - Experience designing automated qualitative evaluation approaches, including LLM-as-judge, rubric-based scoring, semantic similarity checks, and golden dataset regression testing - Proficiency with test automation tools, with a focus on Playwright - Strong SQL skills for data validation, test data creation, and verifying data integrity across systems - Familiarity with token usage, latency profiling, and cost monitoring as quality signals - Eagerness to learn quickly and a positive, solutions-oriented attitude - Clear and concise communicator, able to surface issues, blockers, and risks effectively when communicating ambiguous or probabilistic failures - Self-motivated, proactive, and able to manage time and priorities independently WHAT MDCALC OFFERS: - Ability to make a true difference in medicine: MDCalc is the most broadly used medical reference by physicians, used by over 65% of US attending doctors weekly - Medical, Dental, & Vision Coverage, with option to extend to your dependents - Company-sponsored short-term insurance - Fully-paid 8 week parental leave, after 6 months of employment - Company-sponsored 401k, after 3 months of employment - Unlimited vacation for salaried roles - we trust you to take the time you need - Bi-annual company offsites to connect, reflect, and plan together - Work from home monthly stipend - A culture of fun and motivated team members who believe in a greater mission here at MDCalc", "summaryDescription" : "QA Engineer, AI Products at MDCalc. Skills: LLM testing, AI product quality, Prompt engineering, Evaluation frameworks. Design test strategies for LLM-powered features. 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"hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca05874d8ee00a09a1f96", "title" : "Automation QA Engineer | Mid-Senior", "company" : "Saily", "industry" : "Saily", "salary" : { "min" : 3300.0, "max" : 5800.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T05:09:26.265", "fingerprint" : "54a773e688ef2afc7181a97f5bf3477df2b91a58e8cad8d27e0ce5eec5237837", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/9f2b8c55-93f0-4a9a-871f-f5c49c9b13b7/application", "externalId" : "9f2b8c55-93f0-4a9a-871f-f5c49c9b13b7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "technicalSkills" : "JavaScript, TypeScript, REST API, Git, Docker, Appium, Playwright, Jasmine, Jest, Mocha, Chai, Cypress", "professionalSkills" : [ "Test automation frameworks", "Testing strategies", "Test plans", "Test cases", "Software defects", "Edge cases", "Usability issues", "User flows", "Test creation", "Test coverage", "Cycle times", "Test data generation", "Test case generation", "Flaky tests triage" ], "hardSkillsList" : [ "Automated testing", "API testing", "Regression testing", "Performance testing", "Exploratory testing", "Manual testing", "AI-powered tools", "AI-assisted testing", "LLMs", "AI assistants" ], "softSkillsList" : [ "Learning", "Sharing" ], "hardSkills" : [ { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Exploratory testing", "level" : "intermediate" }, { "name" : "Manual testing", "level" : "intermediate" }, { "name" : "AI-powered tools", "level" : "intermediate" }, { "name" : "AI-assisted testing", "level" : "intermediate" }, { "name" : "LLMs", "level" : "intermediate" }, { "name" : "AI assistants", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Learning" }, { "name" : "Sharing" } ], "majorSkills" : "Test automation frameworks, Automated tests, AI-assisted testing", "majorSkillsList" : [ "Test automation frameworks", "Automated tests", "AI-assisted testing" ], "coreResponsibilities" : "Design test automation frameworks, Write automated tests, Conduct functional integration tests, Conduct regression tests, Conduct performance tests, Confirm acceptance criteria met, Contribute to testing strategies, Drive testing strategy implementation, Participate in writing test plans, Participate in writing test cases, Report software defects, Work with development team to resolve defects, Perform exploratory testing, Perform manual testing, Uncover edge cases, Uncover usability issues, Validate user flows end-to-end, Integrate AI-powered tools into QA workflows, Accelerate test creation, Expand test coverage, Reduce cycle times, Champion AI-assisted testing practices, Experiment with LLMs for test data generation, Experiment with AI assistants for test case generation, Experiment with AI assistants for flaky tests triage", "teamCollaboration" : "Work with development team; Across engineering organization", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "Mobile data; Travel connectivity; AI-native product engineering", "domainList" : [ "mobile-data", "travel-connectivity", "ai-native-product-engineering" ], "domainSpecificKnowledge" : [ "Mobile data", "Travel connectivity", "AI-native product engineering" ], "toolProficiency" : [ "Git", "Docker", "Appium", "BrowserStack", "GitLab", "Playwright", "Jasmine", "Jest", "Mocha", "Chai", "Cypress" ], "communicationSkills" : "Written English; Spoken English", "documentationSkills" : "Test plans; Test cases", "continuousLearning" : "Training programs; Mentorship; Career-switch opportunities", "innovationCreativity" : "Innovate with industry leaders; R&D projects", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Debugging", "qualificationsBasic" : "5+ years experience automated tests, Experience writing automated tests for REST API, Experience working with Git, Experience working with Docker, Knowledge of Agile/DevOps best practices, Experience working with JavaScript/TypeScript, Experience with Jasmine, Jest, Mocha + Chai, Cypress, Playwright", "qualificationsPreferred" : "Training and mentoring less senior team members", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands travelers browsing through Saily at any given moment. To build the best product for our customers we foster AI-native Product Engineering culture, where: - The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production) - AI Agents are the enablers who write most of the code and solve repeatable tasks to help the Engineers maximize their impact - Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes - Curiosity, learning and sharing are everyone's responsibility - Customer, having a comfortable, connected, hassle-free journey is never lost from the focus We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work. MAIN RESPONSIBILITIES - Design test automation frameworks (multi-platform) and write automated tests to conduct complex functional integration, regression, and performance tests to confirm that the acceptance criteria have been met - Contribute to identifying testing strategies and drive their implementation - Participate in writing test plans and test cases - Report software defects and work with development team to resolve them - Perform hands-on exploratory and manual testing to uncover edge cases and usability issues that automated tests may miss - Validate complex user flows end-to-end across mobile and other platforms before major releases AI ADOPTION & EVANGELISM - Actively explore and integrate AI-powered tools into QA workflows to accelerate test creation, expand coverage, and reduce cycle times - Champion the adoption of AI-assisted testing practices across the engineering organization - Experiment with LLMs and AI assistants for generating test data, writing test cases from requirements, and triaging flaky tests - Training and mentoring less senior team members in test automation would be very welcome CORE REQUIREMENTS - 5+ years of experience in automated tests writing for web or mobile applications - Experience in writing automated tests for REST API - Experience working with Git and Docker - Knowledge of Agile/DevOps best practices - Experience working with JavaScript/TypeScript - Experience working with one of the following automation - frameworks: Jasmine, Jest, Mocha + Chai, Cypress, Playwright - Passion for breaking things - That you are sharp-eyed with attention to details - Good written and spoken English skills TOOLS YOU WILL USE - App: Appium with TypeScript on BrowserStack using GitLab - Web: Playwright in TypeScript using Gitlab - BE: Playwright in TypeScript using Gitlab WHAT WE OFFER Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Work in a next-gen Cyber City office Thrive in our bustling office, featuring ergonomic workspaces, modern meeting rooms, engaging events, and specialty coffee to fuel your day. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Boost your health with free-of-charge 24/7 gym access, onsite and online workouts, and consultations led by in-house Physical Well-Being experts. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Extra days off Enjoy additional vacation days off as you grow with us. Plus, get extra days for sick leave, special occasions, or parenting needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "Automation QA Engineer | Mid-Senior at Saily. Skills: Test automation frameworks, Automated tests, AI-assisted testing. Design test automation frameworks. Write automated tests", "createdAt" : "2026-06-13T23:16:30.114", "lastUpdated" : "2026-06-15T05:09:26.265", "ingestTimestamp" : "2026-06-13T23:16:30.114", "mongoId" : "6a2ca05874d8ee00a09a1f96", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Automated testing", "API testing", "Regression testing", "Performance testing", "Exploratory testing", "Manual testing", "AI-powered tools", "AI-assisted testing", "LLMs", "AI assistants", "Learning", "Sharing", "Test automation frameworks", "Automated tests", "Testing strategies", "Test plans", "Test cases", "Software defects", "Edge cases", "Usability issues", "User flows", "Test creation", "Test coverage", "Cycle times", "Test data generation", "Test case generation", "Flaky tests triage", "Agile", "DevOps", "Mobile data", "Travel connectivity", "AI-native product engineering", "Git", "Docker", "Appium", "BrowserStack", "GitLab", "Playwright", "Jasmine", "Jest", "Mocha", "Chai", "Cypress" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1074.5791, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7dc574d8ee00a0950c8a", "title" : "QA Automation Engineer (Python)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 2500.0, "max" : 5000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Latvia", "locations" : [ "Latvia" ], "timestamp" : "2026-06-15T09:15:14.835", "fingerprint" : "c33bb06e87b92824da8edb8081621330078d001f64967105d4e06834a8e38b50", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4077638009", "externalId" : "4077638009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Latvia", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Latvia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, AI tools, Claude, Codex, Groovy, Bash", "hardSkillsList" : [ "MQA testing" ], "hardSkills" : [ { "name" : "MQA testing", "level" : "intermediate" } ], "majorSkills" : "QA Automation, Python, Network", "majorSkillsList" : [ "QA Automation", "Python", "Network" ], "coreResponsibilities" : "Create automated test, Maintain automated test, Execute automated test, Identify bugs, Report bugs, Perform front-end testing, Perform back-end testing, Analyse release notes, Analyse project documentation, Update test scenarios", "teamCollaboration" : "Global development team", "domainKnowledge" : "Network; Internet; WiFi; VLAN; Firewall; VPN", "domainList" : [ "network", "internet", "wifi", "vlan", "firewall", "vpn" ], "domainSpecificKnowledge" : [ "Network", "Internet", "WiFi", "VLAN", "Firewall", "VPN" ], "toolProficiency" : [ "Jenkins", "Jenkins pipelines", "Jenkins + DSL" ], "continuousLearning" : "Integrate modern AI tools", "innovationCreativity" : "Integrate modern AI tools", "qualificationsBasic" : "3+ years AQA experience, Fluent in English, Fluent in Latvian", "qualificationsPreferred" : "Java/JavaScript experience, FE automation experience, System DevOps experience, Network administration experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Day-to-day work with various kind of Network type devices; Create, maintain and execute automated test scripts; Identify and report bugs, ensuring proper follow-up; Perform front-end and back-end testing throughout the entire QA process; Analyse release notes, project documentation and other project artefacts to identify new or update existing test scenarios. Requirements: 3+ years AQA experience in similar position; Jenkins pipelines + DSL (Groovy); Python; Bash scripting; General understanding in Network (Internet, WiFi, VLAN, Firewall, VPN etc.); Strong understanding in MQA testing process; Experience with AI tools - Claude, Codex, etc; Fluent in English and Latvian. Nice to have: Java/JavaScript; Experience with FE automation tools; System Administration; DevOps (CI/CD setup Network administration. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Riga; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 2500 up to 5000 Euro gross monthly); A-class office with all the necessities - snacks, drinks, free parking, etc!", "summaryDescription" : "QA Automation Engineer (Python) at Ubiquiti. Skills: QA Automation, Python, Network. Create automated test. Maintain automated test", "postedDate" : "2026-06-14T03:16:48.247", "createdAt" : "2026-06-14T03:16:48.247", "lastUpdated" : "2026-06-15T09:15:14.835", "ingestTimestamp" : "2026-06-14T03:16:48.247", "mongoId" : "6a2c7dc574d8ee00a0950c8a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "MQA testing", "QA Automation", "Python", "Network", "Internet", "WiFi", "VLAN", "Firewall", "VPN", "Jenkins", "Jenkins pipelines", "Jenkins + DSL" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1073.0659, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ac774d8ee00a090de39", "title" : "Senior QA Engineer - AI", "company" : "Future Secure AI", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "NZD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior QA Engineer - AI in Auckland, New Zealand, adjusted for the technology industry and senior experience level." }, "location" : "Auckland", "locations" : [ "Auckland" ], "certifications" : [ "ISTQB certification" ], "timestamp" : "2026-06-15T09:36:37.701", "fingerprint" : "9c6f05cbae5a909ce113006318a7762d5c532286f36ce1a9e3a3cb992721902c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.anz.greenhouse.io/futuresecureai/jobs/4004006201", "externalId" : "4004006201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Auckland", "country" : "New Zealand", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-36.8520950,174.7631803" } ], "locationText" : "Auckland, New Zealand", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, JavaScript, TypeScript, Java, C#, AWS, Azure, GCP", "professionalSkills" : [ "Test strategy", "Automation depth", "Strategic thinking" ], "hardSkillsList" : [ "Performance testing", "Load testing", "Security testing" ], "hardSkills" : [ { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Load testing", "level" : "intermediate" }, { "name" : "Security testing", "level" : "intermediate" } ], "majorSkills" : "AI, Automation, Test strategy", "majorSkillsList" : [ "AI", "Automation", "Test strategy" ], "coreResponsibilities" : "Define test strategy, Own test strategy, Build automated test suites, Maintain automated test suites, Test APIs, Test service integrations, Integrate tests into CI/CD, Manage test data, Anonymise data, Raise bar on security testing, Raise bar on performance testing", "teamCollaboration" : "Across engineering layers; Customer Services; Platform; SRE", "domainKnowledge" : "AI systems; Enterprise AI; AI Co-Workers; Regulated environments", "domainList" : [ "ai-systems", "enterprise-ai", "ai-co-workers", "regulated-environments" ], "domainSpecificKnowledge" : [ "AI systems", "Enterprise AI", "AI Co-Workers", "Regulated environments" ], "toolProficiency" : [ "Playwright", "Cypress", "Selenium", "Pytest", "Jest", "Postman", "REST Assured", "GitHub Actions", "Jenkins", "GitLab CI", "K6", "JMeter", "Gatling" ], "innovationCreativity" : "Relentless curiosity", "qualificationsBasic" : "5+ years of QA experience, Test automation skills, API testing experience, CI/CD integration experience, Experience across multiple test types, Cloud environment familiarity", "qualificationsPreferred" : "Experience testing AI, Experience testing ML, Experience testing non-deterministic systems, Security testing knowledge, ISTQB or equivalent certification", "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. Future Secure AI (FSAI) is a leading enterprise AI company that was created in deep partnership with one of the world's largest financial institutions. Operating as an enterprise company with deep relationships at C-suite with large global enterprises, FSAI believes humans and AI Workers will collaborate seamlessly to raise organisational performance. FSAI has dozens of partnerships with leading companies in most industries and regions globally. FSAI has a strategic focus on expanding globally as we continue our extraordinary journey to transform the world with the most cutting-edge artificial intelligence. You will own test strategy across the platform, individual AI Co-Workers, and customer integration environments. You will work across all three engineering layers — Customer Services, Platform, and SRE — and be expected to bring both automation depth and strategic thinking to everything you ship. The Opportunity At FSAI, QA sits at the centre of delivery. You will be working across complex AI systems, integrations, and enterprise environments where the bar for quality is high and the pace is fast. You will own test strategy across the platform, individual AI Co-Workers, and customer integration environments. You will work across all three engineering layers — Customer Services, Platform, and SRE — and be expected to bring both automation depth and strategic thinking to everything you ship. Key Responsibilities Define and own test strategy across the full delivery lifecycle — from requirements through to post-production monitoring Build and maintain automated test suites across unit, integration, end-to-end, and performance layers Test APIs and service integrations directly, not just through the UI Integrate tests into CI/CD pipelines and ensure failures are actionable and owned Manage test data thoughtfully, including anonymisation and compliance requirements in regulated environments Contribute to quality across multiple customer environments without creating per-customer maintenance burden Raise the bar on security testing and performance testing as first-class concerns What We are looking for Proven QA or test engineering background with ownership of test outcomes Strong test automation skills — writing test code in Python, JavaScript, TypeScript, Java, or C# Hands-on experience with test frameworks such as Playwright, Cypress, Selenium, pytest, Jest, or similar API testing experience using tools such as Postman, REST Assured, or custom HTTP clients CI/CD integration — tests running automatically in pipelines such as GitHub Actions, Jenkins, or GitLab CI 5+ years of relevant QA experience Experience across multiple test types — unit, integration, end-to-end, performance Performance and load testing using k6, JMeter, Gatling, or equivalent Test strategy and leadership experience — defining what to test, not just executing Cloud environment familiarity across AWS, Azure, or GCP Nice to have Experience testing AI, ML, or non-deterministic systems Security testing knowledge — SAST, DAST, OWASP ISTQB or equivalent certification Why Join Us? A high-performance culture State-of-the-art technology Experience world-class leadership Scale of impact and purpose A competitive salary and a huge growth trajectory Work with the best in the industry Flexible work environment Diversity and creativity Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the \"Website\") and use our services.", "summaryDescription" : "Senior QA Engineer - AI at Future Secure AI. Skills: AI, Automation, Test strategy. Define test strategy. Own test strategy", "postedDate" : "2026-06-14T02:48:06.547", "createdAt" : "2026-06-14T02:48:06.547", "lastUpdated" : "2026-06-15T09:36:37.701", "ingestTimestamp" : "2026-06-14T02:48:06.547", "mongoId" : "6a2c6ac774d8ee00a090de39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Performance testing", "Load testing", "Security testing", "AI", "Automation", "Test strategy", "Automation depth", "Strategic thinking", "AI systems", "Enterprise AI", "AI Co-Workers", "Regulated environments", "ISTQB certification", "Playwright", "Cypress", "Selenium", "Pytest", "Jest", "Postman", "REST Assured", "GitHub Actions", "Jenkins", "GitLab CI", "K6", "JMeter", "Gatling" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1070.598, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7dc574d8ee00a0950ccb", "title" : "System QA – NAS Product Line (UniFi Drive)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1050000.0, "max" : 1550000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level System QA in Taiwan's technology industry, adjusted for company size and industry." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-16T06:55:23.110", "fingerprint" : "1bddca655ae811c6afd9c7354d436451047b996e629ddf695f5233e6a0eb73c4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4233099009", "externalId" : "4233099009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Cloud services, APIs, Networking, AWS, EC2, S3, VPC, IAM, Docker, Kubernetes, OAuth", "professionalSkills" : [ "System design", "Test automation" ], "hardSkillsList" : [ "Test strategy", "Automation frameworks", "CI/CD integration", "Networking fundamentals", "API validation", "Backend validation", "Authentication flows", "Debugging", "AI tools" ], "hardSkills" : [ { "name" : "Test strategy", "level" : "intermediate" }, { "name" : "Automation frameworks", "level" : "intermediate" }, { "name" : "CI/CD integration", "level" : "intermediate" }, { "name" : "Networking fundamentals", "level" : "intermediate" }, { "name" : "API validation", "level" : "intermediate" }, { "name" : "Backend validation", "level" : "intermediate" }, { "name" : "Authentication flows", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "AI tools", "level" : "intermediate" } ], "majorSkills" : "Cloud QA, Automation, AI-assisted workflows", "majorSkillsList" : [ "Cloud QA", "Automation", "AI-assisted workflows" ], "coreResponsibilities" : "Design automated test strategies, Implement automated test strategies, Build automation frameworks, Maintain automation frameworks, Integrate with CI/CD, Leverage AI tools, Generate test cases, Improve automation, Debug issues, Evaluate AI-generated outputs, Improve QA efficiency, Own validation across cloud services, Validate APIs, Validate networking, Validate distributed system interactions, Cover service-to-service flows, Cover data consistency, Cover failure handling, Validate real-world scenarios, Validate deployment, Validate upgrade, Validate connectivity, Validate long-running usage, Perform load testing, Perform stress testing, Debug issues across cloud, Debug issues across backend, Debug issues across networking, Use logs for debugging, Use observability tools for debugging, Validate authentication, Validate authorization, Validate access control, Ensure reliable system behavior, Ensure secure system behavior, Work with developers, Work with PMs, Define quality standards, Define release criteria, Provide clear bug reports", "teamCollaboration" : "Work with developers; Work with PMs", "domainKnowledge" : "Cloud services; Distributed systems; Networking fundamentals; SaaS systems; Authentication systems", "domainList" : [ "cloud-services", "distributed-systems", "networking-fundamentals", "saas-systems", "authentication-systems" ], "domainSpecificKnowledge" : [ "Cloud services", "Distributed systems", "Networking fundamentals", "SaaS systems", "Authentication systems" ], "toolProficiency" : [ "Pytest", "Playwright", "Selenium", "Jenkins" ], "documentationSkills" : "Bug reports", "problemSolvingSkills" : "Debugging; Troubleshooting", "qualificationsBasic" : "Design and execute end-to-end test strategies, Hands-on ability in Python, Solid experience with automation frameworks, Hands-on experience integrating tests into CI/CD, Working knowledge of networking fundamentals, Ability to perform API and backend validation, Debugging capability across cloud services, Practical use of AI tools", "qualificationsPreferred" : "Hands-on knowledge of AWS infrastructure, Experience with large-scale SaaS, Familiarity with Docker / Kubernetes, Experience with observability tools, Familiarity with authentication and identity systems", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Overview We’re looking for a technically strong and user-focused Cloud QA Engineer to join our UniFi Cloud Service team. This role plays a key part in ensuring our cloud platform delivers a reliable, scalable, and seamless experience across distributed systems. The focus is on building scalable test systems, validating cloud services, APIs, and networking behaviors under real-world conditions, while continuously improving QA efficiency through automation and AI-assisted workflows. You’ll take ownership of end-to-end validation across cloud, backend, and networking layers, with strong emphasis on automation, system reliability, and quality at scale. Key Responsibilities Automation & AI-driven QA Design and implement automated test strategies across API, integration, and end-to-end flows Build and maintain automation frameworks (Python preferred) and integrate with CI/CD Leverage AI tools to generate test cases, improve automation, and debug issues Evaluate AI-generated outputs and improve QA efficiency through AI-assisted workflows End-to-End Validation Own validation across cloud services, APIs, networking, and distributed system interactions Cover service-to-service flows, data consistency, and failure handling Validate real-world scenarios including deployment, upgrade, connectivity, and long-running usage Perform load/stress testing to ensure system behavior at scale Debugging & Reliability Debug issues across cloud, backend, and networking layers using logs and observability tools Validate authentication, authorization, and access control Ensure reliable and secure system behavior under different conditions Collaboration & Quality Improvement Work with developers and PMs to define quality standards and release criteria Provide clear bug reports with repro steps, logs, and impact Drive improvements in QA processes, automation coverage, and tooling Qualifications Required Proven ability to design and execute end-to-end test strategies for cloud or distributed systems Strong hands-on ability in Python for building automation frameworks and test tooling Solid experience with automation frameworks (Pytest, Playwright, or Selenium) Hands-on experience integrating tests into CI/CD pipelines (e.g., Jenkins) Strong working knowledge of networking fundamentals (TCP/IP, DNS, DHCP, NAT, VLAN, VPN) Ability to perform API and backend validation, including authentication flows (tokens, sessions, OAuth) Strong debugging capability across cloud services, networking, and backend systems Practical use of AI tools to improve test design, automation, and debugging workflows Strong ownership mindset and ability to drive issues to resolution Preferred Hands-on knowledge of AWS infrastructure and core services (EC2, S3, VPC, IAM), focusing on networking, security, and service integration Experience with large-scale SaaS or distributed systems Familiarity with Docker / Kubernetes Experience with observability tools (logs, metrics, tracing) Familiarity with authentication and identity systems (OAuth, SSO)", "summaryDescription" : "System QA – NAS Product Line (UniFi Drive) at Ubiquiti. Skills: Cloud QA, Automation, AI-assisted workflows. Design automated test strategies. Implement automated test strategies", "postedDate" : "2026-06-14T18:41:18.337", "createdAt" : "2026-06-14T18:41:18.337", "lastUpdated" : "2026-06-16T06:55:23.110", "ingestTimestamp" : "2026-06-14T18:41:18.337", "mongoId" : "6a2c7dc574d8ee00a0950ccb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Test strategy", "Automation frameworks", "CI/CD integration", "Networking fundamentals", "API validation", "Backend validation", "Authentication flows", "Debugging", "AI tools", "Cloud QA", "Automation", "AI-assisted workflows", "System design", "Test automation", "Cloud services", "Distributed systems", "SaaS systems", "Authentication systems", "Pytest", "Playwright", "Selenium", "Jenkins" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1053.2736, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950c8f", "title" : "QA Engineer", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 700000.0, "max" : 950000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior QA Engineer in Pilsen, Czech Republic, adjusted for the technology industry and company size." }, "location" : "Czech Republic", "locations" : [ "Czech Republic" ], "timestamp" : "2026-06-16T02:33:23.706", "fingerprint" : "5009a83ed3ad8c01977aad57b212172c07b36261c25410ed98ea383cc59a368e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4194205009", "externalId" : "4194205009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pilsen", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.7477415,13.3775249" }, { "city" : "Prague", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0874654,14.4212535" } ], "locationText" : "Pilsen, Czech Republic; Prague, Czech Republic", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "Networking, Unix/Linux, AI tools", "professionalSkills" : [ "Problem solving", "Analytical mind" ], "hardSkillsList" : [ "Manual testing", "Automation testing", "MQA testing", "AQA testing", "Shell commands", "SSH" ], "softSkillsList" : [ "Responsibility", "Accuracy", "Focus on detail" ], "hardSkills" : [ { "name" : "Manual testing", "level" : "intermediate" }, { "name" : "Automation testing", "level" : "intermediate" }, { "name" : "MQA testing", "level" : "intermediate" }, { "name" : "AQA testing", "level" : "intermediate" }, { "name" : "Shell commands", "level" : "intermediate" }, { "name" : "SSH", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Responsibility" }, { "name" : "Accuracy" }, { "name" : "Focus on detail" } ], "majorSkills" : "Software quality assurance, Bug reporting, Test automation", "majorSkillsList" : [ "Software quality assurance", "Bug reporting", "Test automation" ], "coreResponsibilities" : "Plan manual testing initiatives, Lead manual testing initiatives, Plan automation testing initiatives, Lead automation testing initiatives, Review system specifications, Analyze system specifications, Identify opportunities for product improvement, Communicate opportunities for product improvement, Report bugs to development teams, Report errors to development teams, Help troubleshoot issues, Work with networking equipment, Design AI-powered solutions, Test AI-powered solutions, Implement AI-powered solutions", "teamCollaboration" : "R&D departments; Users from different countries; Team of developers; Team of testers", "domainKnowledge" : "Computer networks; Internet; WiFi; VLAN; Firewall; VPN", "domainList" : [ "computer-networks", "internet", "wifi", "vlan", "firewall", "vpn" ], "domainSpecificKnowledge" : [ "Computer networks", "Internet", "WiFi", "VLAN", "Firewall", "VPN" ], "toolProficiency" : [ "Jira", "Confluence", "TestRail", "Test Suite", "Claude", "Codex" ], "continuousLearning" : "Willingness to learn new things", "innovationCreativity" : "Creativity; Think out of the box", "problemSolvingSkills" : "Problem solving skills; Analytical mind", "qualificationsBasic" : "2+ years of experience testing web applications, 2+ years of experience testing mobile applications, Basic knowledge of computer networks, Fluent in English, Czech language skills", "qualificationsPreferred" : "Experience in programming, Experience with hardware devices, Knowledge of version control systems", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. About the role Ubiquiti Pilsen and Prague offices are looking for a QA Engineer to assess software quality through testing. You will be responsible for finding and reporting bugs or UI/UX issues in web and mobile apps. You will be in touch with our R&D departments and users from different countries around the world. We´re looking for a reliable team player with basic knowledge of computer networks. We expect you to bring your enthusiasm and creativity wherever you go and put them in the work you do. You should be able to think out of the box when finding solutions to brand new problems and make things work when the solution is not straightforward. This position is suitable for graduates too. Responsibilities plan and lead manual / automation testing initiatives to ensure software release meet or exceeded requirements reviewing and analyzing system specifications identify and communicate opportunities for product improvement report bugs / errors to development teams and help troubleshoot issues work with networking equipment for test coverage purpose work within a team of other developers and testers design, test and implement AI-powered solutions for internal processes and customer-facing products willingness to learn new things on a regular basis Requirements 2+ years of experience testing modern web and mobile applications general understanding in Networking (Internet, WiFi, VLAN, Firewall, VPN etc.) strong understanding in MQA / AQA testing process an understanding of good UX and the ability to identify issues responsibility, accuracy, focus on detail analytical mind and problem solving skills fluent in English (daily basis in written form) and Czech base knowledge of Unix/Linux (shell commands, ssh) experience with Jira and Confluence or similar ticketing and documentation services experience with TestRail / Test Suite creation or other similar services experience with AI tools - Claude, Codex, etc. Nice to have experience in programming experience with hardware devices knowledge of version control systems Benefits kitchen packed with food, snacks & sodas, meal allowance flexible working hours access to all Ubiquiti products team building activities competitive salary and 5 weeks of vacation per year discretionary bonuses based on individual performance experimenting with HW prototypes comfortable office in the center of Pilsen or Prague with good transport accessibility", "summaryDescription" : "QA Engineer at Ubiquiti. Skills: Software quality assurance, Bug reporting, Test automation. Plan manual testing initiatives. Lead manual testing initiatives", "postedDate" : "2026-06-14T20:07:44.920", "createdAt" : "2026-06-14T20:07:44.920", "lastUpdated" : "2026-06-16T02:33:23.706", "ingestTimestamp" : "2026-06-14T20:07:44.920", "mongoId" : "6a2c7dc574d8ee00a0950c8f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Manual testing", "Automation testing", "MQA testing", "AQA testing", "Shell commands", "SSH", "Responsibility", "Accuracy", "Focus on detail", "Software quality assurance", "Bug reporting", "Test automation", "Problem solving", "Analytical mind", "Computer networks", "Internet", "WiFi", "VLAN", "Firewall", "VPN", "Jira", "Confluence", "TestRail", "Test Suite", "Claude", "Codex" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 1052.2396, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a10bcd358b93c861e2056cc", "title" : "Junior QA Engineer (Automation)", "company" : "CESAR", "industry" : "Technology", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior QA Engineer (Automation) in Recife, Brazil, adjusted for the technology industry and temporary employment type." }, "location" : "Recife, BR", "locations" : [ "Recife", "BR" ], "timestamp" : "2026-06-15T13:39:49.593", "fingerprint" : "6517438f4832361ad3975eea46ea9139dbc1950bddca8caea33c4efa8664fec0", "source" : "breezyhr", "language" : "pt", "applyUrl" : "https://cesar.breezy.hr/p/b9ff45e1e1b3-junior-qa-engineer-automation", "externalId" : "b9ff45e1e1b3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Recife", "state" : "Pernambuco", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-8.0584933,-34.8848193" } ], "locationText" : "Recife, Pernambuco, Brazil", "employmentType" : "TEMPORARY", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "rawDescription" : "Olá, nós somos o CESAR! Somos um centro de inovação e de educação que há quase 30 anos forma pessoas e impulsiona organizações, potencializando suas estratégias digitais. Resolvemos problemas complexos e desafiadores em um ambiente de trabalho descontraído, descentralizado e repleto de benefício", "summaryDescription" : "Junior QA Engineer (Automation) at CESAR", "createdAt" : "2026-06-14T05:21:25.990", "lastUpdated" : "2026-06-15T13:39:49.593", "ingestTimestamp" : "2026-06-14T05:21:25.990", "mongoId" : "6a10bcd358b93c861e2056cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 1046.7325, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c908a74d8ee00a0980a0a", "title" : "Quality Automation Engineer", "company" : "TheFork", "industry" : "Hospitality", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quality Automation Engineer in Barcelona, Spain, adjusted for the technology industry and company size." }, "location" : "Barcelona, Barcelona, Spain", "locations" : [ "Barcelona", "Barcelona", "Spain", "Milan", "Italy", "Paris", "Paris", "France", "Torino", "Torino", "Italy" ], "timestamp" : "2026-06-15T09:51:59.252", "fingerprint" : "701d653a22abd17e5926c2328f1c75491b40da3fd1b48e4c116f1c405507797b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tripadvisor/jobs/7759511", "externalId" : "7759511", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "state" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Barcelona, Spain", "employmentType" : "FULL_TIME", "technicalSkills" : "TypeScript, JavaScript, Playwright, API, REST, GraphQL, Node.js, Docker", "professionalSkills" : [ "Root cause analysis", "Systemic improvements" ], "hardSkillsList" : [ "Test automation", "Framework design", "CI/CD pipeline optimization", "Test data management", "Environment orchestration" ], "hardSkills" : [ { "name" : "Test automation", "level" : "intermediate" }, { "name" : "Framework design", "level" : "intermediate" }, { "name" : "CI/CD pipeline optimization", "level" : "intermediate" }, { "name" : "Test data management", "level" : "intermediate" }, { "name" : "Environment orchestration", "level" : "intermediate" } ], "majorSkills" : "Test automation frameworks, CI/CD pipelines, Quality engineering", "majorSkillsList" : [ "Test automation frameworks", "CI/CD pipelines", "Quality engineering" ], "coreResponsibilities" : "Design test automation frameworks, Build test automation frameworks, Evolve test automation frameworks, Design internal tooling, Build internal tooling, Evolve internal tooling, Act as owner of test ecosystem, Define testing standards, Enforce testing standards, Provide abstractions for developers, Provide utilities for developers, Provide reusable components for developers, Drive test architecture decisions, Improve testability of systems, Own CI/CD test pipelines, Optimize CI/CD test pipelines, Identify systemic issues, Implement structural solutions, Design test data management, Maintain test data management, Design environment orchestration, Maintain environment orchestration, Define quality gates, Implement quality gates, Evolve quality gates, Define quality metrics, Implement quality metrics, Evolve quality metrics, Support teams in debugging, Provide observability for debugging, Provide diagnostic tooling, Explore AI-driven testing, Integrate AI-driven testing, Mentor engineers, Promote quality engineering mindset", "teamCollaboration" : "Cross-team collaboration; Collaborate with teams; Technical reference for quality", "domainKnowledge" : "Restaurant industry; Test pyramid; Separation of concerns; Isolation strategies; Cloud-native architecture", "domainList" : [ "restaurant-industry", "test-pyramid", "separation-of-concerns", "isolation-strategies", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Restaurant industry", "Test pyramid", "Separation of concerns", "Isolation strategies", "Cloud-native architecture" ], "toolProficiency" : [ "Playwright", "Jenkins", "SonarQube", "SonarCloud", "Docker" ], "continuousLearning" : "Continuous learning programs; Development programs", "innovationCreativity" : "AI-driven testing; Explore AI-driven testing", "problemSolvingSkills" : "Root cause analysis; Systemic improvements; Debugging complex failures", "specialRequirements" : "2 days home office, 4 weeks remote flexibility", "qualificationsBasic" : "SDET / Quality Engineer experience, TypeScript / JavaScript programming skills, Design and maintain test frameworks, Modern automation tools experience, Test architecture patterns understanding, Enable teams through tooling, CI/CD systems experience, API testing experience, Problem-solving skills, Cross-team collaboration, Fluent in English", "qualificationsPreferred" : "Internal developer platforms experience, Playwright ecosystem expertise, GraphQL testing tooling experience, Quality gate systems familiarity, Test data platforms experience, AI-assisted testing exposure, Backend development experience, Containerization experience, Observability applied to tests, Decentralized testing governance", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Join our Movement and Champion Restaurant Culture! \uD83D\uDC9A At TheFork we believe that the best things in life happen around the table. As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries. We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive. If you’re passionate about food, technology, and making a real impact, your seat at the table is ready. \uD83D\uDC49 Discover life at TheFork What you will do: Design, build, and evolve test automation frameworks and internal tooling (Playwright + TypeScript as primary stack) Act as owner of the test ecosystem, including repositories, architecture, and long-term maintainability Define and enforce testing standards, guidelines, and best practices across engineering teams Enable developers to write effective tests by providing abstractions, utilities, and reusable components Drive test architecture decisions (structure, layering, fixtures, data handling, isolation strategies) Collaborate with teams to improve testability of systems (APIs, frontend, data flows) without directly owning feature tests Own and optimize CI/CD test pipelines (e.g., Jenkins), focusing on speed, reliability, and scalability Identify systemic issues (flakiness, instability, slow feedback loops) and implement structural solutions, not patches Design and maintain test data management and environment orchestration strategies Define, implement, and evolve quality gates and metrics (coverage, reliability, execution time, signal quality) Support teams in debugging complex failures by providing observability and diagnostic tooling Explore and integrate AI-driven testing capabilities to improve productivity and test robustness Mentor engineers and promote a quality engineering mindset across the organization Who you are: You Must Meet These Critical Qualifications (Mandatory requirements to be listed here) Strong experience as an SDET / Quality Engineer with a focus on frameworks and tooling, not just test implementation Excellent programming skills in TypeScript / JavaScript Proven experience designing and maintaining test frameworks at scale Hands-on experience with modern automation tools (Playwright preferred) Strong understanding of test architecture patterns (test pyramid, separation of concerns, isolation strategies) Experience enabling teams through libraries, SDKs, or shared tooling Solid experience with CI/CD systems (e.g., Jenkins), including pipeline optimization and debugging Experience with API testing (REST/GraphQL) and designing reusable testing layers Strong problem-solving skills focused on root cause analysis and systemic improvements Comfortable working cross-team and acting as a technical reference for quality Fluent in English (written and spoken) You Can Impress With These Additions (“Nice to have” to be listed here) Experience building internal developer platforms or test platforms Deep expertise in Playwright ecosystem (custom reporters, fixtures, plugins, parallelization strategies) Experience with GraphQL testing tooling and schema-driven validation Familiarity with quality gate systems (e.g., SonarQube / SonarCloud) and defining engineering-wide standards Experience with test data platforms (dynamic data generation, seeding, environment control) Exposure to AI-assisted testing / LLM-based tooling Backend development experience (Node.js preferred) Experience with containerization (Docker) and ephemeral environments Strong understanding of observability (logs, metrics, tracing) applied to test systems Experience in organizations where testing is decentralized but governed centrally What we offer you: \uD83D\uDE04 An awesome team \uD83C\uDFE0 A permanent contract (that can be useful in life) ⚖️Flexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely) \uD83D\uDCB8 Competitive fixed salary and bonus \uD83C\uDF55 Lunch vouchers available for each working day (because yes, we like to try our best restaurants) \uD83C\uDF0E International teams and a multicultural environment spanning 10 offices across Europe \uD83E\uDD1D Highly inclusive working environment \uD83E\uDD38‍♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc \uD83C\uDF93 Continuous learning and development programs \uD83D\uDE0C Free access to the Calm app to help you build resilience wherever you are in your mental health journey \uD83D\uDC23Dedicated parental leave and caregiver leave policies (12 weeks fully paid) \uD83C\uDFE5Health insurance covered by the company \uD83D\uDC76 Financial support for birth, adoption, civil partnerships, or marriage \uD83D\uDE9D Transport allowance \uD83C\uDFE5Health insurance fully covered by the company \uD83D\uDC69‍\uD83E\uDDBD Life & Disability Insurance at no cost to the employee \uD83C\uDF74 Amazing offices with dining, coffee points and leisure area \uD83C\uDFA4 Team building events All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately. We believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great. TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application, interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly. #LI-FF1", "summaryDescription" : "Quality Automation Engineer at TheFork. Skills: Test automation frameworks, CI/CD pipelines, Quality engineering. Design test automation frameworks. Build test automation frameworks", "postedDate" : "2026-06-14T08:24:31.457", "createdAt" : "2026-06-14T08:24:31.457", "lastUpdated" : "2026-06-15T09:51:59.252", "ingestTimestamp" : "2026-06-14T08:24:31.457", "mongoId" : "6a2c908a74d8ee00a0980a0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Test automation", "Framework design", "CI/CD pipeline optimization", "Test data management", "Environment orchestration", "Test automation frameworks", "CI/CD pipelines", "Quality engineering", "Root cause analysis", "Systemic improvements", "Restaurant industry", "Test pyramid", "Separation of concerns", "Isolation strategies", "Cloud-native architecture", "Playwright", "Jenkins", "SonarQube", "SonarCloud", "Docker" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1045.6235, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd6f274d8ee00a0a3fcdd", "title" : "QA Engineer", "company" : "SalesApe", "industry" : "Engineering", "salary" : { "max" : 50000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "UK", "locations" : [ "UK" ], "timestamp" : "2026-06-16T01:53:43.495", "fingerprint" : "8b7b6b32ab0a5b14c19ccb8fe535c4c9bef4792e0df189f22de1250e79f399f3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/salesape-ai/87ce3a61-a00c-4f34-bb06-fedb457d8028/application", "externalId" : "87ce3a61-a00c-4f34-bb06-fedb457d8028", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Django, NextJS, GitHub Actions, React", "professionalSkills" : [ "QA strategy", "QA process", "Automation" ], "hardSkillsList" : [ "Integration testing", "E2E testing", "Regression testing" ], "hardSkills" : [ { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "E2E testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" } ], "majorSkills" : "QA strategy, Automation, AI testing", "majorSkillsList" : [ "QA strategy", "Automation", "AI testing" ], "coreResponsibilities" : "Own the QA strategy, Design scalable QA process, Set quality bar, Automate testing, Apply AI to QA", "teamCollaboration" : "Product engineers; Prototypers", "domainKnowledge" : "AI; AI agents; Natural language interface", "domainList" : [ "ai", "ai-agents", "natural-language-interface" ], "domainSpecificKnowledge" : [ "AI", "AI agents", "Natural language interface" ], "toolProficiency" : [ "Playwright", "Pytest", "Cypress" ], "innovationCreativity" : "Integrate AI into testing", "problemSolvingSkills" : "Triage risk", "outcomesObjectives" : "Move toward continuous delivery safely", "qualificationsBasic" : "Experience standing up QA functions, Ability to prioritise testing pragmatically, Fluency in QA tooling and frameworks, Comfortable working across full-stack environment, Hands-on experience with CI/CD tooling, Clear communicator who collaborates well", "qualificationsPreferred" : "Experience testing AI-based products, Familiarity with pytest, Comfort writing or reviewing testable frontend components, Experience working in a startup", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "WHY SALESAPE? Join SalesApe, one of the fastest-growing AI companies, recognised as a leader in cutting-edge AI technology and backed by over $20 million from top VCs. We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission? To tackle inequality by empowering a huge market of non-tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. While the tech industry has compounded its growth with computing power, these businesses have been technically starved. With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘ brain’ of a business spinning out agent worker, freeing up time and simplifying operations, to ensure humans spend more time in real-life interaction. IF YOU’RE READY FOR INTENSE, HIGH-ENERGY, MEANINGFUL WORK, COME MAKE A REAL IMPACT WITH US AT SALESAPE OUR MISSION AND PURPOSE: As we started building with large language models and AI-powered natural language interfaces, I had an aha moment. It hit me just how significant this inflection point is: compute—the raw power of computers—is now accessible to people who don’t use computers.\" \"And when I thought about that, I realized the closest invention humanity has seen to this shift was electricity. When electricity arrived, it didn’t just light up homes—it transformed industries, democratized wealth, and empowered everyone, from factory owners to farmers, to grow and thrive. Today, with AI, we have the opportunity to do the same for the real economy.\" \"For the last two decades, the tech industry has had an incredible advantage. Computers have been like co-pilots for us, quietly amplifying our productivity and enabling us to grow faster than ever before. But 95% of businesses—builders, plumbers, and real estate agents—have been technically starved. These businesses make up 50% of GDP, five times larger than the entire tech industry, but they’ve never had access to the tools they need to compete.\" \"This is the inequality we’re solving. APE AI is democratizing technology, bringing the power of compute to businesses that have been left behind. And what’s so rewarding is that we’re not just helping faceless corporations—we’re empowering real people. Small business owners who pour their hearts into their work. People whose success directly impacts their families, their communities, and society at large. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team.\" \"For me, this mission is personal. I’ve spent my career building companies that encourage people to connect in real life, to be physically active, and to engage with their communities. This isn’t just about productivity—it’s about health, happiness, and thriving societies. Humans weren’t built to spend their lives staring at screens. We’re wired to interact, to move, to be part of the real world. And what excites me is that Ape AI is helping to make this possible—empowering businesses that create real-world value to thrive at the same pace as the tech giants.\" \"This isn’t just about technology. It’s about fairness. It’s about giving the power of compute to the people who need it most, so they can grow, thrive, and make a difference. That’s our mission, and it’s something we can all be proud of.\" THE ROLE ROLE OVERIEW SalesAPE is looking for a Contract QA Engineer to own quality across our fast-moving product. You'll build and scale our QA function from the ground up—setting the quality bar, driving automation, and helping us move toward continuous delivery safely. This role sits at the intersection of engineering rigour and AI innovation, and you'll work closely with product engineers and prototypers to balance speed with safety. KEY RESPONSIBILITIES & SCOPE - Own the QA strategy end-to-end: from triaging risk to implementing automation - Design and implement a scalable QA process tailored for small, fast-moving teams - Set the quality bar for what's required to ship to production safely, even at higher cadence - Automate as much as possible, including integration, E2E, and regression testing across our Django and NextJS stack - Apply AI to QA — whether it's test case generation, diffing, log analysis, or something we haven't thought of yet - Collaborate closely with product engineers and prototypers to balance speed and safety WHAT WE'RE LOOKING FOR Essential - Experience standing up QA functions or frameworks in early-stage teams - Ability to prioritise testing pragmatically, balancing risk vs. velocity - Fluency in QA tooling and frameworks (e.g., Playwright, Pytest, Cypress) - Comfortable working across a full-stack environment (backend APIs, front-end UIs, async jobs) - Hands-on experience with CI/CD tooling (we use GitHub Actions) - Clear communicator who collaborates well with engineers and product leads Nice to Have - Experience testing AI-based or ML-driven products - Familiarity with pytest, factory_boy, or coverage.py in Python - Comfort writing or reviewing testable frontend components in React/NextJS - Experience working in a startup or similarly fast-moving environment WHAT WE OFFER - A foundational role helping us move from weekly to continuous delivery - The opportunity to shape how we integrate AI into our testing strategy - A high-trust, low-ego team focused on fast iteration - A funded, product-led startup at an exciting inflection point - Freedom and autonomy as principal values - Contract role — 3 months initial term, then rolling monthly - Rate equivalent to up to £50k per annum ", "summaryDescription" : "QA Engineer at SalesApe. Skills: QA strategy, Automation, AI testing. Own the QA strategy. Design scalable QA process", "createdAt" : "2026-06-14T19:29:47.251", "lastUpdated" : "2026-06-16T01:53:43.495", "ingestTimestamp" : "2026-06-14T19:29:47.251", "mongoId" : "6a2cd6f274d8ee00a0a3fcdd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Integration testing", "E2E testing", "Regression testing", "QA strategy", "Automation", "AI testing", "QA process", "AI", "AI agents", "Natural language interface", "Playwright", "Pytest", "Cypress" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 1044.1324, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950c89", "title" : "QA Automation Engineer (JavaScript)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 2500.0, "max" : 5000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Latvia", "locations" : [ "Latvia" ], "timestamp" : "2026-06-15T07:31:50.829", "fingerprint" : "e08ca29a17137b2924ee83d497df1796969748dc8332f61f0fc965dc6987d426", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4077628009", "externalId" : "4077628009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Latvia", "continent" : "eu", "workMode" : "hybrid" } ], "locationText" : "Latvia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "JavaScript, TypeScript, Bash", "hardSkillsList" : [ "Network", "MQA testing" ], "hardSkills" : [ { "name" : "Network", "level" : "intermediate" }, { "name" : "MQA testing", "level" : "intermediate" } ], "majorSkills" : "QA Automation, JavaScript", "majorSkillsList" : [ "QA Automation", "JavaScript" ], "coreResponsibilities" : "Play significant role in ensuring product, Identify and report bugs, Ensure proper follow-up, Create and maintain test environments, Maintain test suites, Identify opportunities for product, Communicate opportunities for product, Analyse external reports, Analyse internal reports, Reproduce reported issues", "teamCollaboration" : "International work environment; Global development teams", "domainKnowledge" : "Internet; WiFi; VLAN; Firewall; VPN", "domainList" : [ "internet", "wifi", "vlan", "firewall", "vpn" ], "domainSpecificKnowledge" : [ "Internet", "WiFi", "VLAN", "Firewall", "VPN" ], "toolProficiency" : [ "Jenkins", "Cypress", "Selenium", "Claude", "Codex" ], "continuousLearning" : "Integrate modern AI tools", "innovationCreativity" : "Integrate modern AI tools", "problemSolvingSkills" : "Reproduce reported issues", "qualificationsBasic" : "3+ years AQA experience, Experience with Jenkins, Experience with Cypress or Selenium with JavaScript/TypeScript, Experience with Bash, General understanding in Network, General understanding in MQA testing", "qualificationsPreferred" : "Experience with AI tools - Claude, Codex", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities: Play a significant role in ensuring product quality; Identify and report bugs, ensuring proper follow-up; Create and maintain various test environments and test scripts; Identify and communicate opportunities for product improvement; Analyse external and internal reports and reproduce reported issues. Requirements: 3+ years AQA experience in similar position; Jenkins; Cypress or Selenium with JavaScript/TypeScript; Bash scripting; General understanding in Network (Internet, WiFi, VLAN, Firewall, VPN etc.); Strong understanding in MQA testing process; Experience with AI tools - Claude, Codex, etc; Fluent in English and Latvian. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of people across the globe; Opportunity to leverage and integrate modern AI tools into product development; Access to all Ubiquiti products; Medical insurance; Hybrid approach - office in Riga; Flexible work hours; Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 2500 up to 5000 Euro gross monthly); A-class office with all the necessities - snacks, drinks, free parking, etc!", "summaryDescription" : "QA Automation Engineer (JavaScript) at Ubiquiti. Skills: QA Automation, JavaScript. Play significant role in ensuring product. Identify and report bugs", "postedDate" : "2026-06-13T21:18:30.968", "createdAt" : "2026-06-13T21:18:30.968", "lastUpdated" : "2026-06-15T07:31:50.829", "ingestTimestamp" : "2026-06-13T21:18:30.968", "mongoId" : "6a2c7dc574d8ee00a0950c89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Network", "MQA testing", "QA Automation", "JavaScript", "Internet", "WiFi", "VLAN", "Firewall", "VPN", "Jenkins", "Cypress", "Selenium", "Claude", "Codex" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1041.605, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ac774d8ee00a090de3a", "title" : "Senior Quality Assurance Engineer - Automation & AI", "company" : "Future Secure AI", "industry" : "Technology", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quality Assurance Engineer in the Technology industry in India, adjusted for seniority and company size." }, "location" : "APAC", "locations" : [ "APAC" ], "timestamp" : "2026-06-15T08:43:32.959", "fingerprint" : "a0a2c3dd504625052619b15cccabb08028aca09a5e41f61eb0ada8272354ae1d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.anz.greenhouse.io/futuresecureai/jobs/4001509201", "externalId" : "4001509201", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "as", "workMode" : "onsite" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Python, TypeScript", "professionalSkills" : [ "Quality assurance", "Test planning", "Bug tracking", "Process improvement", "Code review", "Test analysis" ], "hardSkillsList" : [ "Automated testing", "Regression testing", "Performance testing", "Security testing", "Unit testing", "CI/CD integration" ], "softSkillsList" : [ "Courage", "Rigor", "Mentoring" ], "hardSkills" : [ { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Security testing", "level" : "intermediate" }, { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "CI/CD integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Courage" }, { "name" : "Rigor" }, { "name" : "Mentoring" } ], "majorSkills" : "Quality Assurance, Automation Testing, AI Tools", "majorSkillsList" : [ "Quality Assurance", "Automation Testing", "AI Tools" ], "coreResponsibilities" : "Collaborate with development teams, Understand product requirements, Ensure requirements in test plans, Perform thorough testing, Identify bugs, Document bugs, Track bugs, Follow-up on bugs, Re-test bugs, Mentor junior QA engineers, Guide junior QA engineers, Foster culture of quality, Foster continuous improvement, Drive improvements in QA process, Adopt new tools, Adopt new methodologies, Use AI tools, Accelerate test case generation, Accelerate defect analysis, Accelerate documentation workflows, Participate in code reviews, Provide feedback from QA perspective, Work with DevOps teams, Work with Development teams, Ensure seamless integration of testing, Integrate testing into CI/CD, Analyze test results, Report on test results, Provide actionable insights", "teamCollaboration" : "Collaborative team environment; Cross-functional teams; DevOps teams; Development teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Enterprise AI; AI Workers; AI products", "domainList" : [ "enterprise-ai", "ai-workers", "ai-products" ], "domainSpecificKnowledge" : [ "Enterprise AI", "AI Workers", "AI products" ], "toolProficiency" : [ "Selenium", "JUnit", "TestNG", "Jenkins", "GitLab CI", "Claude" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation workflows", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Building something new; Uncharted territory", "problemSolvingSkills" : "Problem-solving; Analytical skills", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in software QA, Proficiency in manual testing, Proficiency in automated testing, Proficiency in Python, Proficiency in TypeScript, Solid understanding of Agile/Scrum, Demonstrated Claude fluency", "qualificationsPreferred" : "Interest in managing UAT", "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Company At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. Future Secure AI (FSAI) is a leading enterprise AI company that was created in deep partnership with one of the world's largest financial institutions. Operating as an enterprise company with deep relationships at C-suite with large global enterprises, FSAI believes humans and AI Workers will collaborate seamlessly to raise organisational performance. FSAI has dozens of partnerships with leading companies in most industries and regions globally. FSAI has a strategic focus on expanding globally as we continue our extraordinary journey to transform the world with the most cutting-edge artificial intelligence. The Opportunity We are hiring Senior Quality Assurance Engineers to play an integral role within our technology teams to ensure our AI products meet the highest standards of quality and performance. This role requires a deep understanding of quality assurance processes, exceptional attention to detail, and passion for ensuring excellence. The ideal candidate will have extensive experience in both manual and automated testing, an interest in managing User Acceptance Testing (UAT), and a genuine ability to leverage AI tools — including Claude — as a core part of how they work. Key Responsibilities Collaborate closely with development teams to understand product requirements and ensure they are reflected in test plans. Perform thorough testing of software applications, including functional, regression, performance, and security testing. Identify, document, and track bugs through resolution, ensuring timely follow-up and re-testing. Mentor and guide junior QA engineers, fostering a culture of quality and continuous improvement. Drive improvements in the QA process, including the adoption of new tools and methodologies — with AI-assisted testing approaches at the forefront. Use Claude and other AI tools to accelerate test case generation, defect analysis, and documentation workflows. Participate in code reviews and provide feedback from a QA perspective. Work closely with DevOps and Development teams to ensure seamless integration of testing into the CI/CD pipeline. Analyse and report on test results, providing actionable insights to stakeholders. Requirements To thrive in this role you must be a great communicator with the ability to work well in a collaborative team environment. You enjoy problem-solving and are results-orientated. You will need to demonstrate the following: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. 5+ years of experience in software QA. Proficiency in both manual and automated testing techniques. Strong experience with testing tools and frameworks (e.g., Selenium, JUnit, TestNG). Proficiency in Python or TypeScript for test automation and scripting. Solid understanding of automated unit testing principles and frameworks, with the ability to write, maintain and review unit tests alongside development teams. Solid understanding of Agile/Scrum methodologies. Experience with CI/CD tools (e.g., Jenkins, GitLab CI). Excellent problem-solving skills and attention to detail. Strong communication skills, both written and verbal. Demonstrated Claude fluency — you use AI tools as a natural, productive part of your daily workflow. This will be verified through practical assessment at interview. Why Join Us? A high-performance culture State-of-the-art technology Experience world-class leadership Scale of impact and purpose A competitive salary and a huge growth trajectory Work with the best in the industry Flexible work environment Diversity and creativity Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the \"Website\") and use our services.", "summaryDescription" : "Senior Quality Assurance Engineer - Automation & AI at Future Secure AI. Skills: Quality Assurance, Automation Testing, AI Tools. Collaborate with development teams. Understand product requirements", "postedDate" : "2026-06-14T08:37:08.910", "createdAt" : "2026-06-14T08:37:08.910", "lastUpdated" : "2026-06-15T08:43:32.959", "ingestTimestamp" : "2026-06-14T08:37:08.910", "mongoId" : "6a2c6ac774d8ee00a090de3a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Automated testing", "Regression testing", "Performance testing", "Security testing", "Unit testing", "CI/CD integration", "Courage", "Rigor", "Mentoring", "Quality Assurance", "Automation Testing", "AI Tools", "Quality assurance", "Test planning", "Bug tracking", "Process improvement", "Code review", "Test analysis", "Agile", "Scrum", "Enterprise AI", "AI Workers", "AI products", "Selenium", "JUnit", "TestNG", "Jenkins", "GitLab CI", "Claude" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1040.7576, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ca74d8ee00a09adda5", "title" : "Software QA Engineer", "company" : "Ooma", "industry" : "Technology", "salary" : { "min" : 123000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Sunnyvale, California, United States", "locations" : [ "Sunnyvale", "California", "United States" ], "timestamp" : "2026-06-15T05:25:49.227", "fingerprint" : "7e2c5d3126379a15fe961889697759c127848fae80b9dc7c9c14ef73baaf16da", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ooma/jobs/5154201007", "externalId" : "5154201007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "VoIP, Networking, Linux, IOS, Android, Database administration", "professionalSkills" : [ "Project status reporting", "Risk assessment reporting", "Schedule updates" ], "hardSkillsList" : [ "Automated testing", "Test planning", "Test case development", "Test script development", "Lab environment maintenance" ], "hardSkills" : [ { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Test planning", "level" : "intermediate" }, { "name" : "Test case development", "level" : "intermediate" }, { "name" : "Test script development", "level" : "intermediate" }, { "name" : "Lab environment maintenance", "level" : "intermediate" } ], "majorSkills" : "Quality Assurance, Test Automation, AI-assisted testing", "majorSkillsList" : [ "Quality Assurance", "Test Automation", "AI-assisted testing" ], "coreResponsibilities" : "Design test plans, Develop test plans, Execute test plans, Validate product functionality, Validate product performance, Validate customer use cases, Define test strategies, Provide project status, Provide risk assessments, Provide schedule updates, Build lab environments, Configure lab environments, Maintain lab environments, Validate product configurations, Validate solutions, Collaborate with engineering teams, Collaborate with automation teams, Collaborate with performance teams, Improve test coverage, Improve test efficiency, Leverage test automation, Leverage AI-assisted testing tools, Enhance quality, Enhance productivity, Identify defects, Document defects, Track defects, Drive defect resolution, Prepare test reports, Communicate quality results", "teamCollaboration" : "Cross-functional engineering teams", "projectManagementSkills" : [ "Manage multiple projects", "Manage priorities" ], "domainKnowledge" : "VoIP; Networking; Application-based solutions", "domainList" : [ "voip", "networking", "application-based-solutions" ], "domainSpecificKnowledge" : [ "VoIP", "Networking", "Application-based solutions" ], "toolProficiency" : [ "Test automation tools", "AI-assisted testing tools" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Test plans; Test cases; Test scripts; Test reports", "innovationCreativity" : "AI-assisted testing", "problemSolvingSkills" : "Defect resolution; Troubleshooting technical solutions", "qualificationsBasic" : "5+ years professional experience, 2+ years testing VoIP, 2+ years testing networking, 2+ years testing application-based solutions, Experience developing automated tests, Experience executing automated tests, Linux basic administration skills, Ability to install test lab environments, Ability to configure test lab environments, Ability to maintain test lab environments, Proven ability to create test plans, Proven ability to create test cases, Proven ability to create test scripts, Written communication skills, Verbal communication skills, Ability to manage multiple projects, Ability to manage priorities", "qualificationsPreferred" : "BS in Electrical Engineering, BS in Computer Science, BS in Computer Engineering, Familiarity with generative AI, Familiarity with AI-assisted development tools, Familiarity with AI-assisted testing tools, Experience working in Linux, Experience testing iOS applications, Experience testing Android applications, Experience with customer support, Experience troubleshooting technical solutions, Familiarity with database administration, Familiarity with database management", "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Ooma we empower people to connect in smarter ways. We do this by creating powerful communication experiences through our cloud-based platform to bring people together at work and at home. Our solutions help small business owners stay connected with their customers and manage their businesses from anywhere. For larger companies we provide customized unified communications solutions to meet their unique needs. At home, we help our customers connect with their loved ones by providing the #1 rated VoIP phone service available. We also provide them with peace of mind through our innovative smart home security solution. At Ooma, all our products and services are priced competitively, because we believe advanced technology should be accessible to all. About the Role: Ooma is seeking a motivated and detail-oriented Software Quality Assurance Engineer to join our SQA team. In this role, you will help ensure the quality, reliability, and performance of Ooma's products and services through comprehensive testing, validation, and collaboration with cross-functional engineering teams. You will play a key role in defining test strategies, developing test plans, building and maintaining lab environments, tracking defects, and delivering quality insights to stakeholders. This position offers the opportunity to work with modern test automation tools, including AI-assisted testing technologies. What You’ll Do: Design, develop, and execute test plans and test cases to validate product functionality, performance, and customer use cases. Define test strategies and provide clear project status, risk assessments, and schedule updates to management. Build, configure, and maintain lab environments to validate a variety of product configurations and solutions. Collaborate with engineering, automation, and performance teams to improve test coverage and efficiency. Leverage test automation and AI-assisted testing tools to enhance quality and productivity. Identify, document, track, and drive resolution of defects throughout the development lifecycle. Prepare test reports and communicate quality results to project stakeholders. Experience We’re Looking For: 5+ years of professional experience, including a minimum of 2 years testing VoIP, networking, and application-based solutions in an engineering environment. A BS in Electrical Engineering, Computer Science/Computer Engineering, or a related technical field is preferred; equivalent experience and demonstrated expertise are acceptable. Experience developing and executing automated tests. Familiarity with generative AI and AI-assisted development or testing tools. Experience working in Linux environments; basic Linux administration skills are a plus. Experience testing iOS and Android applications is desirable. Ability to install, configure, and maintain test lab environments. Proven ability to create clear, organized, and comprehensive test plans, test cases, and test scripts. Experience with customer support or troubleshooting technical solutions is a plus. Familiarity with database administration and management is desirable. Strong written and verbal communication skills. Ability to manage multiple projects and priorities in a fast-paced environment. Self-motivated, detail-oriented team player with a strong work ethic and collaborative mindset. #LI-OP1 What We Offer: Working at Ooma means being a team player, while allowing your individual voice to come through. And, you'll receive competitive compensation, benefits and generous company perks. Comprehensive Medical/Dental/Vision insurance for you and eligible dependents HMO, PPO’s or a PPO with a HDHP (including HSA, which Ooma helps fund) Employer Paid Income Protection Benefits (Basic Life and AD&D, Short- and Long-term disability) FSA Healthcare & Dependent Care Commuter Benefits Voluntary Accident, Critical Illness, Hospital Indemnity and Legal 401(k), including employer match, and Roth Employee Stock Purchase Plan (ESPP) Paid Time off, Sick Time, as well as corporate holidays observed Employee Assistance Program Life Balance benefits with Travel Assistance Services and Identity Theft Additional Benefits include a Discount Program, Credit Union, Medicare Assistance, etc Ooma is an equal-opportunity employer committed to recruiting, employing, retaining, promoting, and otherwise treating all employees on the basis of merit, qualifications, and competence. We do not discriminate on the basis of any trait or characteristic protected by applicable federal, state, or local laws. The base salary range for candidates within the San Francisco Bay Area is listed below. Actual base pay will depend on a variety of factors such as education, skills, experience, specific location, etc. The base pay range is subject to change and may be modified in the future. Regular employees may also be eligible for bonus(es), sales incentive(s) (target included in OTE) and/or stock in the form of Restricted Stock Units (RSUs). California Pay Range $123,000—$135,000 USD", "summaryDescription" : "Software QA Engineer at Ooma. Skills: Quality Assurance, Test Automation, AI-assisted testing. Design test plans. Develop test plans", "postedDate" : "2026-06-13T21:07:38.553", "createdAt" : "2026-06-13T21:07:38.553", "lastUpdated" : "2026-06-15T05:25:49.227", "ingestTimestamp" : "2026-06-13T21:07:38.553", "mongoId" : "6a2ca3ca74d8ee00a09adda5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 123000, "salaryAnnualMax" : 135000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automated testing", "Test planning", "Test case development", "Test script development", "Lab environment maintenance", "Quality Assurance", "Test Automation", "AI-assisted testing", "Project status reporting", "Risk assessment reporting", "Schedule updates", "Manage multiple projects", "Manage priorities", "VoIP", "Networking", "Application-based solutions", "Test automation tools", "AI-assisted testing tools" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1036.31, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92ed74d8ee00a0986e32", "title" : "QA Engineer Manual / Automation", "company" : "Xebia", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior QA Engineer in Bulgaria, adjusted for the logistics industry and company size." }, "location" : "Bulgaria&Romania", "locations" : [ "Bulgaria&Romania" ], "timestamp" : "2026-06-15T08:26:15.095", "fingerprint" : "ff9cedcd58dafb322b166ec9d04d41fb0b69731992b024d9420afa361f8d948d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/5990242004", "externalId" : "5990242004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "onsite" }, { "country" : "Romania", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Bulgaria; Romania", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Playwright, TypeScript, NET, C#, REST API, XUnit, AWS, PostgreSQL, SQL", "professionalSkills" : [ "Problem solving", "Analytical skills" ], "hardSkillsList" : [ "Exploratory testing", "Regression testing", "Test case creation" ], "hardSkills" : [ { "name" : "Exploratory testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Test case creation", "level" : "intermediate" } ], "majorSkills" : "UI automation, Backend testing, API testing", "majorSkillsList" : [ "UI automation", "Backend testing", "API testing" ], "coreResponsibilities" : "Design automated UI tests, Implement automated UI tests, Maintain automated UI tests, Develop backend/API automated tests, Maintain backend/API automated tests, Perform exploratory testing, Perform regression testing, Perform functional testing, Create test cases, Maintain test cases, Create test scenarios, Maintain test scenarios, Create testing documentation, Validate integrations between microservices, Support testing activities in AWS, Analyze issues, Report defects, Support troubleshooting activities, Contribute to QA process improvement, Contribute to QA standards improvement, Contribute to automation coverage improvement", "teamCollaboration" : "Cross-functional teams; Developers; DevOps teams; Product teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Microservices architecture; Logistics sector; Rail wagon leasing", "domainList" : [ "microservices-architecture", "logistics-sector", "rail-wagon-leasing" ], "domainSpecificKnowledge" : [ "Microservices architecture", "Logistics sector", "Rail wagon leasing" ], "toolProficiency" : [ "Playwright", "TypeScript", "NET", "C#", "REST API", "XUnit", "AWS", "PostgreSQL", "GIT", "GitHub", "Scalar" ], "documentationSkills" : "Testing documentation", "continuousLearning" : "Personal development budgets", "innovationCreativity" : "Emerging AI-driven practices", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "5 years commercial experience, UI test automation experience, Backend/API testing experience, Manual testing experience, B2 English level", "qualificationsPreferred" : "Experience with CI/CD pipelines, Knowledge of test reporting, Knowledge of monitoring tools, Experience applying GenAI, Familiarity with AI-driven practices", "rawDescription" : "Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will join a long-term digital transformation project for an international client from the logistics and transportation sector, specializing in rail wagon leasing and working with large enterprise customers, including Fortune 500 companies. The project is focused on building a modern custom ERP system tailored to the client’s specific business needs. Since no ready-made market solution fully supports this niche domain, the system is being designed and developed from the ground up. The client is currently using a mix of legacy systems and SAP, and the new platform will gradually modernize and streamline core operational processes. The discovery phase is almost completed, and the first development phase is planned to continue until mid-2027, with expected further continuation afterwards. Tech stack: UI tests - playwright, typescript, BE tests - .Net, C#, RestAPI, Xunit3, AWS, PostgresSQL (SQL optionally), Testing commercial experience more 3years, Manual Testing (exploratory, regression, test case definition), microservices oriented architecture work experience, B2 English We are looking for a QA Automation Specialist with strong experience in both manual and automated testing. In this role, you will be responsible for ensuring high quality across UI and backend services in a modern microservices-based environment. You will be: designing, implementing, and maintaining automated UI tests using Playwright and TypeScript,  developing and maintaining backend/API automated tests using .NET, C#, REST API and xUnit,  performing exploratory, regression, and functional testing across multiple applications and services,  creating and maintaining test cases, test scenarios, and testing documentation,  validating integrations between distributed microservices,  working closely with developers, DevOps, and product teams to ensure product quality across the SDLC,  supporting testing activities in AWS-based environments,  analyzing issues, reporting defects, and supporting troubleshooting activities,  contributing to continuous improvement of QA processes, standards, and automation coverage.  Your profile: at least 5 years of commercial experience in software testing,  hands-on experience with UI test automation using Playwright and TypeScript,  practical experience with backend/API testing using .NET, C#, REST API, and xUnit,  experience with manual testing including exploratory testing, regression testing, and test case creation,  knowledge of AWS cloud environment,  experience working with PostgreSQL (SQL knowledge is a plus),  knowledge of GIT (github) and Scalar, understanding of microservices-oriented architecture,  good analytical and problem-solving skills,  ability to work independently and collaboratively within cross-functional teams,  upper intermediate English level (B2). experience working in Agile/Scrum environments,  Nice to have: experience with CI/CD pipelines,  knowledge of test reporting and monitoring tools. Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Manager's Interview – Decision", "summaryDescription" : "QA Engineer Manual / Automation at Xebia. Skills: UI automation, Backend testing, API testing. Design automated UI tests. Implement automated UI tests", "postedDate" : "2026-06-13T22:19:19.655", "createdAt" : "2026-06-13T22:19:19.655", "lastUpdated" : "2026-06-15T08:26:15.095", "ingestTimestamp" : "2026-06-13T22:19:19.655", "mongoId" : "6a2c92ed74d8ee00a0986e32", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Exploratory testing", "Regression testing", "Test case creation", "UI automation", "Backend testing", "API testing", "Problem solving", "Analytical skills", "Agile", "Scrum", "Microservices architecture", "Logistics sector", "Rail wagon leasing", "Playwright", "TypeScript", "NET", "C#", "REST API", "XUnit", "AWS", "PostgreSQL", "GIT", "GitHub", "Scalar" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1017.20825, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05874d8ee00a09a1f7a", "title" : "QA Engineer (Manual-Automation)", "company" : "NordVPN", "industry" : "NordVPN", "salary" : { "min" : 3000.0, "max" : 4600.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T06:38:55.613", "fingerprint" : "27db74f5fa5ddb937915aa4c01e27a628af7fcd032ae1744c979ddf5eb573daa", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/1da6e48a-7422-4e2d-bc11-c74f0ab9e82d/application", "externalId" : "1da6e48a-7422-4e2d-bc11-c74f0ab9e82d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid - Senior", "technicalSkills" : "Postman, Javascript, Typescript, Cypress, WebdriverIO, Protractor, Selenium, Jest, Docker", "professionalSkills" : [ "Test case design", "Agile principles" ], "hardSkillsList" : [ "Manual testing", "Automated testing", "Functional testing", "Integration testing", "Backend testing", "Web application testing", "API testing" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Manual testing", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Backend testing", "level" : "intermediate" }, { "name" : "Web application testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Manual testing, Automated testing, API testing", "majorSkillsList" : [ "Manual testing", "Automated testing", "API testing" ], "coreResponsibilities" : "Write manual tests, Write automated tests, Conduct complex functional tests, Conduct integration tests, Perform functional testing, Support test processes, Maintain test processes, Improve test processes, Report software defects, Collaborate to resolve defects, Ensure high-quality products, Apply Agile principles, Advocate for product quality, Contribute to testing strategies, Drive testing implementation, Make release process smooth, Train junior team members, Mentor junior team members, Bring own ideas, Bring own initiatives, Ensure product meets standards", "teamCollaboration" : "Cross-functional development teams; QA guild; Development teams", "projectManagementSkills" : [ "Agile", "Kanban" ], "domainKnowledge" : "Cybersecurity tools; VPN technology", "domainList" : [ "cybersecurity-tools", "vpn-technology" ], "domainSpecificKnowledge" : [ "Cybersecurity tools", "VPN technology" ], "toolProficiency" : [ "Postman", "Jira", "Confluence", "Gitlab", "Jenkins", "Cypress", "WebdriverIO", "Protractor", "Selenium", "Jest", "Docker", "BrowserStack", "Figma" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Training programs; Mentorship", "innovationCreativity" : "Creativity; Initiatives", "problemSolvingSkills" : "Problem-solver", "outcomesObjectives" : "Ensure high-quality products; Ensure product meets standards", "qualificationsBasic" : "Proven experience in quality assurance, Experience with Postman, Experience in test case design, Familiarity with management tools, Quick understanding of complex systems, Experience with Agile/Kanban methodologies", "qualificationsPreferred" : "API testing, Frontend automatization using script languages, Experience with Jest, Experience using Docker, Experience with BrowserStack, Experience with Figma, Experience with Selenium", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "THE WORLD’S MOST ADVANCED VPN, AND A WHOLE LOT MORE. If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands. Your impact? Helping millions take back control of their online security, privacy, and data. The QA department ensures our software products are of the highest quality and efficiency. We are a dedicated team of inspectors who carry out audits to validate quality criteria for customers, management, certifiers, and other stakeholders. We are a medium-sized team of 30+ people where everyone is working on different but connected projects. Yet we strive to maintain our Core QA guild, where we build camaraderie and share ideas and experiences. Good product quality, a positive atmosphere, and strong teamwork are some of our main values. We look for curious and creative thinkers, eager to learn all manner of technical things, to join our ranks. Apply if you think it's you. Main Responsibilities - Write manual and later automated tests to conduct complex functional - integration tests to confirm that the acceptance criteria have been met; - Perform functional testing in web/desktop applications and/or back-end systems (depending on the project); - Support, maintain, and improve all related test cases; - Report software defects and collaborate across multiple development teams to resolve them; - Work closely with product managers, developers, and other QA team members to ensure high-quality products; - Apply Agile principles effectively in day-to-day activities; - Advocate for product quality within a cross-functional development team; - Contribute to identifying testing strategies and driving their implementation together with the QA Guild; - Help make the release process as smooth as possible while maintaining the highest quality; - Train and mentor less senior team members; - Bring your own ideas and initiatives – there is lots of space for creativity and innovation; - Ensure that the product meets high-quality standards for deployment. Core Requirements - Proven experience in quality assurance (frontend, backend, web applications testing); - Experience with Postman and Playwright; - Experience in test case design & management; - Familiarity with management tools (like Jira, Confluence, etc.); - Quick understanding of complex technical systems/structures; - A desire for quality in each and all aspects of the shippable product; - Experience with Agile/Kanban (or similar) methodologies and understanding how to work in dev teams; - Good verbal and written communication skills, written and spoken English; Bonus Points - API testing experience; - Virtualization, Gitlab, Jenkins tools experience; - Frontend automatization using script languages (e.g., Javascript, Typescript or similar) is a plus (Cypress, WebdriverIO, Protractor or other selenium or non-selenium-based frameworks); - Experience with Jest, Axios; - Experience using NodeJS; - Experience with Docker, Postman, BrowserStack/BrowserStack connect, Figma, and Selenium would be a big plus. WHAT WE OFFER Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Work in a next-gen Cyber City office Thrive in our bustling office, featuring ergonomic workspaces, modern meeting rooms, engaging events, and specialty coffee to fuel your day. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Boost your health with free-of-charge 24/7 gym access, onsite and online workouts, and consultations led by in-house Physical Well-Being experts. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Extra days off Enjoy additional vacation days off as you grow with us. Plus, get extra days for sick leave, special occasions, or parenting needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "QA Engineer (Manual-Automation) at NordVPN. Skills: Manual testing, Automated testing, API testing. Write manual tests. Write automated tests", "createdAt" : "2026-06-13T22:18:34.890", "lastUpdated" : "2026-06-15T06:38:55.613", "ingestTimestamp" : "2026-06-13T22:18:34.890", "mongoId" : "6a2ca05874d8ee00a09a1f7a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Manual testing", "Automated testing", "Functional testing", "Integration testing", "Backend testing", "Web application testing", "API testing", "Mentoring", "Test case design", "Agile principles", "Agile", "Kanban", "Cybersecurity tools", "VPN technology", "Postman", "Jira", "Confluence", "Gitlab", "Jenkins", "Cypress", "WebdriverIO", "Protractor", "Selenium", "Jest", "Docker", "BrowserStack", "Figma" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1011.9073, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c798d74d8ee00a0941d35", "title" : "Automation Engineer", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 130000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States", "New York", "New York", "United States" ], "timestamp" : "2026-06-15T08:44:16.180", "fingerprint" : "ee51abb10d2222e505cdf931053d6b63ee2ac885c63f02f0839572a63e9a6208", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4229556009", "externalId" : "4229556009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Pytest, AltTester, Unity, CI/CD", "professionalSkills" : [ "System design", "Quality assurance", "Test strategy", "Regression strategy", "Automation strategy", "Release validation", "Defect triage", "Root cause analysis" ], "hardSkillsList" : [ "Automation engineering", "Test pyramid", "CI integration", "AI workflows", "Prompt libraries", "Automation generation", "Defect triage", "Test generation", "Coverage analysis", "Release cadences", "Feature design" ], "hardSkills" : [ { "name" : "Automation engineering", "level" : "intermediate" }, { "name" : "Test pyramid", "level" : "intermediate" }, { "name" : "CI integration", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "Prompt libraries", "level" : "intermediate" }, { "name" : "Automation generation", "level" : "intermediate" }, { "name" : "Defect triage", "level" : "intermediate" }, { "name" : "Test generation", "level" : "intermediate" }, { "name" : "Coverage analysis", "level" : "intermediate" }, { "name" : "Release cadences", "level" : "intermediate" }, { "name" : "Feature design", "level" : "intermediate" } ], "majorSkills" : "Automation framework, CI/CD integration, AI-Native QA, Release quality", "majorSkillsList" : [ "Automation framework", "CI/CD integration", "AI-Native QA", "Release quality" ], "coreResponsibilities" : "Own and scale automation strategy, Make regression automated, Make regression reliable, Make regression CI-gated, Reduce manual testing, Build scalable automation framework, Maintain automation framework, Own test pyramid, Expand coverage, Increase regression confidence, Establish framework standards, Audit manual test suite, Reduce manual test suite, Migrate cases to automation, Retire low-ROI coverage, Convert legacy regression, Define regression layers, Track automation KPIs, Manage test data, Manage environment strategies, Operationalize AI-assisted workflows, Build repeatable processes, Own CI/CD pipeline integration, Build AI workflows, Maintain AI workflows, Apply AI across QA, Evaluate AI tooling, Adopt AI tooling, Define test strategies, Execute test strategies, Coordinate testing, Own defect triage, Enforce documentation standards, Drive issues to resolution, Partner with Product, Partner with Engineering, Partner with Production, Influence feature design, Reduce downstream risk, Develop game expertise, Anticipate failure points", "teamCollaboration" : "Cross-functional teams; Partner with Product; Partner with Engineering; Partner with Production", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Unity mobile game; Live-service environment; Sports collectibles; Digital sports platform; Sportsbook platform; iGaming platform", "domainList" : [ "unity-mobile-game", "live-service-environment", "sports-collectibles", "digital-sports-platform", "sportsbook-platform", "igaming-platform" ], "domainSpecificKnowledge" : [ "Unity mobile game", "Live-service environment", "Sports collectibles", "Digital sports platform", "Sportsbook platform", "iGaming platform" ], "toolProficiency" : [ "Pytest", "AltTester", "JIRA", "Confluence", "TestRail" ], "communicationSkills" : "Document; Present; Advocate for quality", "documentationSkills" : "Documentation standards", "innovationCreativity" : "AI-Native QA Workflows", "problemSolvingSkills" : "Root cause hypothesis generation", "outcomesObjectives" : "Reduce manual testing to exception-based; Convert legacy manual regression; Measurable impact on speed; Measurable impact on coverage; Measurable impact on reliability", "qualificationsBasic" : "5+ years SDET/QA Automation, Ownership of automation strategy, CI-gated regression systems, Design and build automation frameworks, Unity-based or mobile applications, Proficiency with Pytest, Proficiency with AltTester, Comparable automation tooling, Programming skills in Python, Building maintainable test frameworks, Modern design patterns", "qualificationsPreferred" : "AI-augmented QA workflows, Mobile testing infrastructure, Device farms, Emulators, IOS/Android platform nuances, LLM APIs, Prompt engineering for QA, JIRA, Confluence, TestRail, Live-service or game environments, Coordinating external QA vendors", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators. Role Summary We are looking for an SDET – Automation Engineer to own and scale an automation-first regression strategy for a live-service Unity mobile game. This role is accountable for making regression predominantly automated, reliable, and CI-gated. Goal is to reduce manual testing to exception-based and exploratory work. You think in frameworks and systems, treat automation as an engineering discipline with architecture and standards, and have already built AI into your workflow. You proactively surface quality gaps before they become production incidents and measure your impact in coverage and velocity. Build & Own the Automation Framework Architect, build, and maintain a scalable automation framework for a Unity-based mobile game using Pytest, AltTester, or equivalent tools. Own the full test pyramid with unit, integration, and end-to-end tests with a clear strategy for coverage expansion and regression confidence. Establish framework standards: modular design, maintainability, low flakiness, and CI/CD integration. Audit and reduce the existing manual test suite. Migrate high-value cases to automation and retire low-ROI coverage. The goal of converting legacy manual regression into a maintainable automated system within the first year. Define regression layers (PR smoke, nightly regression, release validation) with clear scope, runtime targets, and ownership. Define and track automation KPIs: coverage rate, flakiness index, regression cycle time, and defect escape rate. Define and manage test data and environment strategies to ensure deterministic, repeatable automation runs across CI and local development. Operationalize AI-assisted workflows, building repeatable processes the broader team can adopt. Own CI/CD pipeline integration including build validation, automated regression triggers, and release gate criteria. Build AI-Native QA Workflows Build and maintain AI workflows: prompt libraries, automation generation templates, and defect triage assistants. Apply AI across the QA lifecycle, including test generation, coverage gap analysis, and root cause hypothesis generation. Evaluate and adopt AI tooling with measurable impact on speed, coverage, and reliability. Drive Release Quality Define and execute test strategies aligned to daily, weekly, or monthly release cadences in a live-service environment. Coordinate testing across concurrent feature launches and regression cycles. Own defect triage, enforce documentation standards, and drive issues to verified resolution. Partner with Product, Engineering, and Production upstream to influence feature design and reduce downstream risk. Develop deep expertise in the game's systems, architecture, and edge cases while being able anticipate failure points before release. Required Qualifications 5+ years in SDET / QA Automation, with proven ownership of automation strategy and CI-gated regression systems. Hands-on experience designing and building automation frameworks for Unity-based or mobile applications. Proficiency with Pytest, AltTester, or comparable automation tooling. Strong programming skills in Python (or similar), with experience building maintainable, production-quality test frameworks using modern design patterns. Demonstrated, practical use of AI tools (e.g., Claude, ChatGPT, Cursor, GitHub Copilot) in QA or engineering workflows. Experience with CI/CD pipelines (GitHub Actions, GameCI, Unity Cloud Build, or equivalent) and build validation workflows. Strong debugging and root cause analysis skills across a mobile stack. Excellent communication skills with ability to document, present, and advocate for quality. Nice to Have Experience building or evolving AI-augmented QA workflows beyond individual tool usage. Familiarity with mobile testing infrastructure, including device farms, emulators, iOS/Android platform nuances. Exposure to LLM APIs and prompt engineering for QA use cases. Experience with JIRA, Confluence, and TestRail. Background in live-service or frequently updated game environments. Experience coordinating or leading external QA vendors. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Los Angeles Salary Range $130,000—$160,000 USD The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ NYC Salary Range $145,000—$180,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Automation Engineer at Fanatics Collectibles. Skills: Automation framework, CI/CD integration, AI-Native QA, Release quality. Own and scale automation strategy. Make regression automated", "postedDate" : "2026-06-14T08:07:20.370", "createdAt" : "2026-06-14T08:07:20.370", "lastUpdated" : "2026-06-15T08:44:16.180", "ingestTimestamp" : "2026-06-14T08:07:20.370", "mongoId" : "6a2c798d74d8ee00a0941d35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automation engineering", "Test pyramid", "CI integration", "AI workflows", "Prompt libraries", "Automation generation", "Defect triage", "Test generation", "Coverage analysis", "Release cadences", "Feature design", "Automation framework", "CI/CD integration", "AI-Native QA", "Release quality", "System design", "Quality assurance", "Test strategy", "Regression strategy", "Automation strategy", "Release validation", "Root cause analysis", "Agile", "Unity mobile game", "Live-service environment", "Sports collectibles", "Digital sports platform", "Sportsbook platform", "iGaming platform", "Pytest", "AltTester", "JIRA", "Confluence", "TestRail" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 996.9173, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20674d8ee00a09dee36", "title" : "AI-native QA Engineer", "industry" : "IT", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI-native QA Engineer in Italy, adjusted for remote work and the technology industry." }, "location" : "Italy", "locations" : [ "Italy" ], "timestamp" : "2026-06-16T03:52:14.448", "fingerprint" : "955e045897f9176cebe29cd8de8c282e601170509a52135de17093221fa3fa5d", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/5ddbf9ca-a357-47b0-bb43-b148fffcc21c/apply", "externalId" : "5ddbf9ca-a357-47b0-bb43-b148fffcc21c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Italy", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Italy", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTest, REST APIs, SQL, PostgreSQL, ClickHouse", "professionalSkills" : [ "Test automation", "Workflow validation", "Root cause analysis", "Release validation" ], "hardSkillsList" : [ "Automation coverage", "Defect detection", "Test generation", "Bug analysis" ], "hardSkills" : [ { "name" : "Automation coverage", "level" : "intermediate" }, { "name" : "Defect detection", "level" : "intermediate" }, { "name" : "Test generation", "level" : "intermediate" }, { "name" : "Bug analysis", "level" : "intermediate" } ], "majorSkills" : "AI-powered QA, LLM-assisted tools, Test automation", "majorSkillsList" : [ "AI-powered QA", "LLM-assisted tools", "Test automation" ], "coreResponsibilities" : "Design AI-powered QA systems, Evolve AI-powered QA systems, Enhance automation coverage, Improve defect detection, Strengthen release confidence, Build AI-powered QA frameworks, Maintain AI-powered QA frameworks, Automate test design, Automate test execution, Automate validation workflows, Develop automated test suites, Use LLMs to accelerate test generation, Use LLMs to accelerate bug analysis, Use LLMs to accelerate workflow validation, Analyze defects, Analyze production incidents, Identify root causes, Implement preventive testing strategies, Reduce regressions, Integrate automated testing pipelines, Ensure continuous quality validation, Define test strategies, Ensure robust release validation, Improve QA processes, Expand test coverage, Enhance automation efficiency", "teamCollaboration" : "Collaborate with engineering teams; Collaborate with product teams", "domainKnowledge" : "AI-driven products; Agent-based systems; Modern automation stacks; Client-server architecture; Web service testing; CI/CD pipelines", "domainList" : [ "ai-driven-products", "agent-based-systems", "modern-automation-stacks", "client-server-architecture", "web-service-testing", "ci-cd-pipelines" ], "domainSpecificKnowledge" : [ "AI-driven products", "Agent-based systems", "Modern automation stacks", "Client-server architecture", "Web service testing", "CI/CD pipelines" ], "toolProficiency" : [ "GPT", "Claude", "LLMs" ], "continuousLearning" : "Professional development; Learning reimbursement", "innovationCreativity" : "Experiment with new tools", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "qualificationsBasic" : "3+ years of QA experience, 2+ years in test automation, Proven hands-on experience using LLMs in QA, Programming skills in Python, Expertise in PyTest, Solid understanding of REST APIs, Solid understanding of client-server architecture, Solid understanding of web service testing, Experience working with SQL databases, Familiarity with CI/CD pipelines, Familiarity with automated testing integration, Analytical thinking, Ability to work independently, Ability to work aligned with EST time zone", "qualificationsPreferred" : "Experience with Llama, Experience with PostgreSQL, Experience with ClickHouse", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities In this role, you will design and evolve AI-powered QA systems that enhance automation coverage, improve defect detection, and strengthen release confidence across AI-driven products. Build and maintain AI-powered QA frameworks that automate test design, test execution, and validation workflows using LLM-assisted tools and modern automation stacks Develop automated test suites for functional, regression, integration, and performance testing across complex agent-based systems Use LLMs (such as GPT, Claude, and similar models) to accelerate test generation, bug analysis, and workflow validation Analyze defects and production incidents, identify root causes, and implement preventive testing strategies to reduce regressions Integrate automated testing pipelines into CI/CD workflows to ensure continuous quality validation Collaborate with engineering and product teams to define test strategies and ensure robust release validation Improve QA processes, expand test coverage, and enhance automation efficiency across evolving systems Requirements: The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows. 3+ years of QA experience, including at least 2+ years in test automation roles Proven hands-on experience using LLMs (GPT, Claude, Llama, or similar) in QA workflows and automation pipelines Strong programming skills in Python with expertise in PyTest and test automation frameworks Solid understanding of REST APIs, client-server architecture, and web service testing Experience working with SQL databases such as PostgreSQL or ClickHouse Familiarity with CI/CD pipelines and automated testing integration Strong analytical thinking and ability to work independently on complex systems and logic Ability to work aligned with EST time zone requirements Benefits: Competitive compensation package aligned with experience Remote-first work environment 20 paid time off days plus U.S. holidays Access to a modern AI-driven technology stack High degree of autonomy and freedom to experiment with new tools and approaches Professional development and learning reimbursement support Fast-paced startup culture with strong engineering collaboration ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "AI-native QA Engineer. Skills: AI-powered QA, LLM-assisted tools, Test automation. Design AI-powered QA systems. Evolve AI-powered QA systems", "postedDate" : "2026-06-12T13:43:52.860", "createdAt" : "2026-06-12T13:43:52.860", "lastUpdated" : "2026-06-16T03:52:14.448", "ingestTimestamp" : "2026-06-14T21:05:29.742", "mongoId" : "6a2cb20674d8ee00a09dee36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Automation coverage", "Defect detection", "Test generation", "Bug analysis", "AI-powered QA", "LLM-assisted tools", "Test automation", "Workflow validation", "Root cause analysis", "Release validation", "AI-driven products", "Agent-based systems", "Modern automation stacks", "Client-server architecture", "Web service testing", "CI/CD pipelines", "GPT", "Claude", "LLMs" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 991.0511, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20674d8ee00a09dee42", "title" : "AI-native QA Engineer", "industry" : "IT", "salary" : { "min" : 130000.0, "max" : 200000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI-native QA Engineer in Brazil, adjusted for the technology industry and full-time employment." }, "location" : "Brazil", "locations" : [ "Brazil" ], "timestamp" : "2026-06-15T23:02:45.646", "fingerprint" : "3de18229a9c11e249fa0ff67207ea4a4c7362436732defb774bfab779f0e1cdd", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/a6c57db3-1a5f-4a82-9035-ff2d8e034e99/apply", "externalId" : "a6c57db3-1a5f-4a82-9035-ff2d8e034e99", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Brazil", "continent" : "sa", "workMode" : "remote" } ], "locationText" : "Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTest, REST APIs, SQL, PostgreSQL, ClickHouse, LLM, GPT, Claude, Llama", "professionalSkills" : [ "Test automation", "Workflow validation", "Root cause analysis", "Release validation" ], "hardSkillsList" : [ "Test generation", "Bug analysis", "Regression testing", "Performance testing", "Integration testing" ], "hardSkills" : [ { "name" : "Test generation", "level" : "intermediate" }, { "name" : "Bug analysis", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" } ], "majorSkills" : "AI-powered QA systems, Test automation, LLM-assisted tools", "majorSkillsList" : [ "AI-powered QA systems", "Test automation", "LLM-assisted tools" ], "coreResponsibilities" : "Design AI-powered QA systems, Enhance automation coverage, Improve defect detection, Strengthen release confidence, Build AI-powered QA frameworks, Automate test design, Automate test execution, Automate validation workflows, Develop automated test suites, Use LLMs to accelerate test generation, Use LLMs to accelerate bug analysis, Use LLMs to accelerate workflow validation, Analyze defects, Analyze production incidents, Identify root causes, Implement preventive testing strategies, Reduce regressions, Integrate automated testing pipelines, Ensure continuous quality validation, Collaborate with engineering teams, Collaborate with product teams, Define test strategies, Ensure robust release validation, Improve QA processes, Expand test coverage, Enhance automation efficiency", "teamCollaboration" : "Engineering teams; Product teams", "domainKnowledge" : "AI-driven products; Agent-based systems; Client-server architecture; Web service testing", "domainList" : [ "ai-driven-products", "agent-based-systems", "client-server-architecture", "web-service-testing" ], "domainSpecificKnowledge" : [ "AI-driven products", "Agent-based systems", "Client-server architecture", "Web service testing" ], "toolProficiency" : [ "GPT", "Claude", "Llama" ], "continuousLearning" : "Professional development; Learning reimbursement", "innovationCreativity" : "Experiment with new tools", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "specialRequirements" : "Aligned with EST time zone", "outcomesObjectives" : "Enhance automation coverage; Improve defect detection; Strengthen release confidence; Reduce regressions", "qualificationsBasic" : "3+ years of QA experience, 2+ years in test automation, Hands-on experience using LLMs, Python programming skills, PyTest expertise, Solid understanding of REST APIs, Solid understanding of client-server architecture, Solid understanding of web service testing, Experience working with SQL databases, Familiarity with CI/CD pipelines, Familiarity with automated testing integration, Analytical thinking, Ability to work independently, Ability to work aligned with EST time zone", "qualificationsPreferred" : "Experience using AI tools in testing workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities In this role, you will design and evolve AI-powered QA systems that enhance automation coverage, improve defect detection, and strengthen release confidence across AI-driven products. Build and maintain AI-powered QA frameworks that automate test design, test execution, and validation workflows using LLM-assisted tools and modern automation stacks Develop automated test suites for functional, regression, integration, and performance testing across complex agent-based systems Use LLMs (such as GPT, Claude, and similar models) to accelerate test generation, bug analysis, and workflow validation Analyze defects and production incidents, identify root causes, and implement preventive testing strategies to reduce regressions Integrate automated testing pipelines into CI/CD workflows to ensure continuous quality validation Collaborate with engineering and product teams to define test strategies and ensure robust release validation Improve QA processes, expand test coverage, and enhance automation efficiency across evolving systems Requirements: The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows. 3+ years of QA experience, including at least 2+ years in test automation roles Proven hands-on experience using LLMs (GPT, Claude, Llama, or similar) in QA workflows and automation pipelines Strong programming skills in Python with expertise in PyTest and test automation frameworks Solid understanding of REST APIs, client-server architecture, and web service testing Experience working with SQL databases such as PostgreSQL or ClickHouse Familiarity with CI/CD pipelines and automated testing integration Strong analytical thinking and ability to work independently on complex systems and logic Ability to work aligned with EST time zone requirements Benefits: Competitive compensation package aligned with experience Remote-first work environment 20 paid time off days plus U.S. holidays Access to a modern AI-driven technology stack High degree of autonomy and freedom to experiment with new tools and approaches Professional development and learning reimbursement support Fast-paced startup culture with strong engineering collaboration ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "AI-native QA Engineer. Skills: AI-powered QA systems, Test automation, LLM-assisted tools. Design AI-powered QA systems. Enhance automation coverage", "postedDate" : "2026-06-12T13:40:55.380", "createdAt" : "2026-06-12T13:40:55.380", "lastUpdated" : "2026-06-15T23:02:45.646", "ingestTimestamp" : "2026-06-14T22:05:08.330", "mongoId" : "6a2cb20674d8ee00a09dee42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Test generation", "Bug analysis", "Regression testing", "Performance testing", "Integration testing", "AI-powered QA systems", "Test automation", "LLM-assisted tools", "Workflow validation", "Root cause analysis", "Release validation", "AI-driven products", "Agent-based systems", "Client-server architecture", "Web service testing", "GPT", "Claude", "Llama" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 973.79285, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2db1fa74d8ee00a0c86c36", "title" : "Senior Automation QA Engineer", "company" : "Thomson Reuters Special Services", "industry" : "Legal", "salary" : { "min" : 94000.0, "max" : 94000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America, McLean, Virginia", "locations" : [ "United States of America, McLean, Virginia" ], "timestamp" : "2026-06-15T22:56:33.202", "fingerprint" : "827559d940fb1bee5c49463900cc91bb66d2014386c150abab3b2427ebaccdb2", "source" : "workday", "language" : "en", "applyUrl" : "https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/United-States-of-America-McLean-Virginia/Senior-Automation-QA-Engineer_JREQ201363", "externalId" : "JREQ201363", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python", "professionalSkills" : [ "System testing", "Regression testing", "Acceptance testing", "Test automation", "Test strategy", "Script development", "Test environment", "Test data", "Test suites", "Bug reporting", "Quality metrics" ], "hardSkillsList" : [ "Automation techniques", "Test plan creation", "Test scenario identification", "Test execution", "Defect resolution" ], "hardSkills" : [ { "name" : "Automation techniques", "level" : "intermediate" }, { "name" : "Test plan creation", "level" : "intermediate" }, { "name" : "Test scenario identification", "level" : "intermediate" }, { "name" : "Test execution", "level" : "intermediate" }, { "name" : "Defect resolution", "level" : "intermediate" } ], "majorSkills" : "Quality Assurance, Automation testing, Test strategy", "majorSkillsList" : [ "Quality Assurance", "Automation testing", "Test strategy" ], "coreResponsibilities" : "Understand system components, Automate different testing types, Create test plans, Implement test scenarios for automation, Create testing environments, Create testing data, Create test suites, Perform manual testing, Perform automated testing, Automate as much as possible, Test and release within cycles, Analyze test results, Create bug reports, Interact with team for defect resolution, Maintain test artifacts, Maintain test evidence, Communicate daily progress, Communicate issues, Communicate risks, Communicate quality metrics", "teamCollaboration" : "Work iteratively with development team", "projectManagementSkills" : [ "Agile development environment" ], "communicationSkills" : "Communicate with business users; Communicate with technical users", "documentationSkills" : "Maintain test artifacts; Maintain test evidence; Create bug reports", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "U. S. Citizenship, U. S. National Security Clearance", "qualificationsBasic" : "Minimum 5 years’ experience in Quality Assurance, Experience with automated and manual testing, Experience with automation techniques, Experience with automation framework, Experience creating automation strategies, Experience with test-driven script development, Hands-on experience with Python, Experience working in agile development environment, Analytical skills, Problem-solving skills, Ability to communicate with business users, Ability to communicate with technical users, Ability to understand new requirements, Ability to resolve issues, Ability to achieve results with broad performance guidelines, Ability to achieve results with changing priorities, U. S. Citizenship essential, Ability to obtain and maintain a U. S. National Security Clearance", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Are you passionate about the chance to bring your quality assurance experience to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad? Do you have the skills necessary to deliver high quality client solutions? Then Thomson Reuters Special Services (TRSS) is looking for you! **About the Role** As a **Senior Automation QA Engineer** , you will be responsible for software testing and automation, test plan/script coordination and execution. As the **Senior Automation QA Engineer** , you will also contribute to a variety of areas including: * Understand system components, how they interact with one another, and perform or automate different types of testing – functional, system, regression, acceptance * Create and execute test plans. Identify and implement test scenarios ideal for automating * Create and maintain testing environments, data, and test suites * Perform testing manually and via automated tools, with an eye towards automating as much as possible * Work iteratively with the development team to test and release within designated cycles * Analyze test results to ensure correct functionality, create bug reports with reproducible steps and interact with the team for resolution of defects * Maintain test artifacts and test evidence * Responsible for communicating daily progress, issues, risks, and quality metrics **About You** You’re a good fit for the role of **Senior Automation QA Engineer** if you have: * Minimum 5 years’ experience in Quality Assurance * The ideal candidate has professional experience with both automated and manual testing * Experience with automation techniques, automation framework, creating automation strategies and test-driven script development * Hands-on experience with Python * Experience working in agile development environment * Strong analytical and problem-solving skills * Be highly motivated and be able to quickly learn multiple applications * Ability to communicate with business and technical users in understanding new requirements and resolving issues * Ability to achieve results with broad performance guidelines and often changing priorities in a fast-paced environment * **Ability to obtain and maintain a U.S. National Security Clearance.** * **U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements.** #LI-CS1 **What’s in it For You?** * **Hybrid Work Model:** We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. * **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. * **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. * **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. * **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. * **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. * **Making a Real-World Impact:** We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $94,000 USD - $175,000 USD.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $82,000 USD - $152,200 USD.Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. **About Us** Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at [HR.Leave-Expert@thomsonreuters.com](mailto:HR.Leave-Expert@thomsonreuters.com). Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation [_here._](https://www.thomsonreuters.com/en/careers/our-commitment-to-candidates) Learn more on how to protect yourself from fraudulent job postings [_here._](https://www.thomsonreuters.com/en/careers/protect-yourself-from-fraudulent-job-postings) More information about Thomson Reuters can be found on [_thomsonreuters.com_](https://www.thomsonreuters.com/en)", "summaryDescription" : "Senior Automation QA Engineer at Thomson Reuters Special Services. Skills: Quality Assurance, Automation testing, Test strategy. Understand system components. Automate different testing types", "postedDate" : "2026-06-12T21:55:17.217", "createdAt" : "2026-06-14T21:55:17.190", "lastUpdated" : "2026-06-15T22:56:33.202", "ingestTimestamp" : "2026-06-14T21:55:17.190", "mongoId" : "6a2db1fa74d8ee00a0c86c36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/United-States-of-America-McLean-Virginia/Senior-Automation-QA-Engineer_JREQ201363", "salaryAnnualMin" : 94000, "salaryAnnualMax" : 94000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Automation techniques", "Test plan creation", "Test scenario identification", "Test execution", "Defect resolution", "Quality Assurance", "Automation testing", "Test strategy", "System testing", "Regression testing", "Acceptance testing", "Test automation", "Script development", "Test environment", "Test data", "Test suites", "Bug reporting", "Quality metrics", "Agile development environment" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 971.6643, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9def74d8ee00a099d1e2", "title" : "Senior QA Automation Engineer (AI Systems)", "company" : "Software Mind", "industry" : "Information Technology And Services", "salary" : { "min" : 1.3E7, "max" : 1.95E7, "currency" : "ARS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior QA Automation Engineer in Buenos Aires, Argentina, adjusted for the technology industry and senior experience level." }, "location" : "Buenos Aires, Buenos Aires, AR", "locations" : [ "Buenos Aires", "Buenos Aires", "AR" ], "timestamp" : "2026-06-15T05:24:40.614", "fingerprint" : "1078bbf69af988c2b1d1a2a95db93ff9dfabaec4bd056de1526200a6ded636f0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SoftwareMind/744000131979509--vck-senior-qa-automation-engineer-ai-systems-", "externalId" : "744000131979509", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Buenos Aires", "state" : "Buenos Aires", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-34.5121516,-58.5248182" } ], "locationText" : "Buenos Aires, Buenos Aires, Argentina", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, Python, FastAPI, Vue.js, OpenSearch, Pinecone, OpenAI, Anthropic, VPC, ECS, Lambda, S3, DynamoDB, API Gateway, Cognito, CloudWatch, X-Ray, Terraform, AWS CDK, KMS", "professionalSkills" : [ "Tenant isolation design", "Observability design", "Security design", "Environment provisioning", "Infrastructure operation" ], "hardSkillsList" : [ "Cloud infrastructure", "Infrastructure-as-code", "CI/CD pipeline", "Vector store management", "Observability stack setup", "Secrets management", "KMS encryption", "Access controls", "LLM connectivity", "Environment promotion", "Ingestion pipeline infrastructure" ], "hardSkills" : [ { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "Infrastructure-as-code", "level" : "intermediate" }, { "name" : "CI/CD pipeline", "level" : "intermediate" }, { "name" : "Vector store management", "level" : "intermediate" }, { "name" : "Observability stack setup", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "KMS encryption", "level" : "intermediate" }, { "name" : "Access controls", "level" : "intermediate" }, { "name" : "LLM connectivity", "level" : "intermediate" }, { "name" : "Environment promotion", "level" : "intermediate" }, { "name" : "Ingestion pipeline infrastructure", "level" : "intermediate" } ], "majorSkills" : "DevOps, Cloud Infrastructure, AI Systems, LLM Operations", "majorSkillsList" : [ "DevOps", "Cloud Infrastructure", "AI Systems", "LLM Operations" ], "coreResponsibilities" : "Provision and configure AWS VPC, Configure segmented cloud environment, Build baseline CI/CD pipeline, Maintain CI/CD pipeline, Evolve CI/CD pipeline, Configure vector store infrastructure, Manage vector store infrastructure, Set up observability stack, Manage observability stack, Implement infrastructure-as-code, Manage secrets, Configure KMS encryption, Manage tenant-scoped access controls, Configure LLM provider connectivity, Define environment promotion strategy, Implement environment promotion strategy, Support ingestion pipeline infrastructure, Schedule nightly ingestion", "teamCollaboration" : "Cross-functional team; Senior team members", "projectManagementSkills" : [ "Agile", "Sprint cadence" ], "domainKnowledge" : "AI assistant systems; Real estate title; Settlement industry; Retrieval-Augmented Generation (RAG); Vector index; Multi-tenant architecture; LLM workloads; Zero-data-retention", "domainList" : [ "ai-assistant-systems", "real-estate-title", "settlement-industry", "retrieval-augmented-generation-rag", "vector-index", "multi-tenant-architecture", "llm-workloads", "zero-data-retention" ], "domainSpecificKnowledge" : [ "AI assistant systems", "Real estate title", "Settlement industry", "Retrieval-Augmented Generation (RAG)", "Vector index", "Multi-tenant architecture", "LLM workloads", "Zero-data-retention" ], "toolProficiency" : [ "Terraform", "AWS CDK", "GitHub Actions", "AWS CodePipeline", "OpenSearch", "Pinecone", "CloudWatch", "X-Ray", "Cognito", "Okta", "Azure AD", "AWS Textract" ], "qualificationsBasic" : "6+ years in DevOps, AWS specialisation required, Infrastructure-as-code experience, CI/CD tooling experience, Core AWS services experience, Multi-tenant cloud environments experience, Tenant-level data isolation experience, Production AI workloads experience, LLM-based workloads experience", "qualificationsPreferred" : "Enterprise SSO experience, Identity federation experience, HIPAA background, SOC 2 background, Regulated-data cloud environment configuration background, OCR service infrastructure familiarity, Document processing service infrastructure familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! About the Project Software Mind is building a private, tenant-isolated AI assistant for the real estate title and settlement industry. The platform is a retrieval-first (RAG) system that ingests historical email, documents, and structured metadata into a per-tenant vector index, and serves grounded, cited, expert-weighted answers through a chat-style Q&A interface with single sign-on and full audit logging. The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/Pinecone vector store, and OpenAI/Anthropic/Bedrock as LLM provider. You will join a senior, cross-functional LATAM-based team where hands-on AI delivery experience not just familiarity is the baseline expectation. You stand up and own the cloud infrastructure and CI/CD foundation the entire project runs on. Your work is on the critical path from day one: delivery begins with environment provisioning. You design for tenant isolation, observability, and security from the outset not as an afterthought. This role requires prior experience operating infrastructure for production AI or LLM-based workloads. Your Responsibilities * Provision and configure a dedicated VPC and segmented cloud environment on AWS * Build the baseline CI/CD pipeline and maintain and evolve it across all delivery phases * Configure and manage the vector store infrastructure (OpenSearch/Pinecone on AWS) * Set up and manage the observability stack: CloudWatch, X-Ray, alerting thresholds, and LLM-specific monitoring * Implement infrastructure-as-code for all environments (dev, staging, production) using Terraform or CDK * Manage secrets, KMS encryption key configuration, and tenant-scoped access controls * Configure LLM provider connectivity (OpenAI / Anthropic / Amazon Bedrock enterprise tier, zero-data-retention) * Define and implement environment promotion strategy aligned with the 2-week sprint cadence * Support incremental ingestion pipeline infrastructure requirements and nightly scheduling ## Qualifications Must-Have Skills & Experience * 6+ years in DevOps or cloud infrastructure engineering; strong AWS specialisation required * Infrastructure-as-code: Terraform, CloudFormation, or AWS CDK * CI/CD tooling: GitHub Actions, AWS CodePipeline, or equivalent * Core AWS services: VPC, ECS, Lambda, S3, DynamoDB, API Gateway, Cognito, CloudWatch, X-Ray * Experience designing and operating multi-tenant cloud environments with tenant-level data isolation ## Additional Information Nice-to-Have * Experience with enterprise SSO and identity federation: Cognito, Okta, or Azure AD * Background in HIPAA, SOC 2, or regulated-data cloud environment configuration * Familiarity with OCR or document processing service infrastructure (AWS Textract, etc.) We are accepting applications from LATAM countries #LI-DNI", "summaryDescription" : "Senior QA Automation Engineer (AI Systems) at Software Mind. Skills: DevOps, Cloud Infrastructure, AI Systems, LLM Operations. Provision and configure AWS VPC. Configure segmented cloud environment", "postedDate" : "2026-06-12T19:40:41.000", "createdAt" : "2026-06-14T06:08:54.710", "lastUpdated" : "2026-06-15T05:24:40.614", "ingestTimestamp" : "2026-06-14T06:08:54.710", "mongoId" : "6a2c9def74d8ee00a099d1e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cloud infrastructure", "Infrastructure-as-code", "CI/CD pipeline", "Vector store management", "Observability stack setup", "Secrets management", "KMS encryption", "Access controls", "LLM connectivity", "Environment promotion", "Ingestion pipeline infrastructure", "DevOps", "Cloud Infrastructure", "AI Systems", "LLM Operations", "Tenant isolation design", "Observability design", "Security design", "Environment provisioning", "Infrastructure operation", "Agile", "Sprint cadence", "AI assistant systems", "Real estate title", "Settlement industry", "Retrieval-Augmented Generation (RAG)", "Vector index", "Multi-tenant architecture", "LLM workloads", "Zero-data-retention", "Terraform", "AWS CDK", "GitHub Actions", "AWS CodePipeline", "OpenSearch", "Pinecone", "CloudWatch", "X-Ray", "Cognito", "Okta", "Azure AD", "AWS Textract" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 970.9971, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb20674d8ee00a09dee3e", "title" : "AI-native QA Engineer", "industry" : "IT", "salary" : { "min" : 40000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI-native QA Engineer in Portugal, adjusted for industry and city tier." }, "location" : "Portugal", "locations" : [ "Portugal" ], "timestamp" : "2026-06-15T22:43:32.791", "fingerprint" : "e07311de2af316f4a403c6ed0150eb9bcfdaf85ee2330a7ae1ffa14ff5a2ab1d", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/817d4044-a16a-4c5b-a0d9-212807d16b6a/apply", "externalId" : "817d4044-a16a-4c5b-a0d9-212807d16b6a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Portugal", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Portugal", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTest, REST APIs, SQL, PostgreSQL, ClickHouse, LLM, GPT, Claude, Llama", "professionalSkills" : [ "Test automation", "Workflow validation", "Root cause analysis", "Release validation" ], "hardSkillsList" : [ "Automation coverage", "Defect detection", "Test generation", "Bug analysis" ], "hardSkills" : [ { "name" : "Automation coverage", "level" : "intermediate" }, { "name" : "Defect detection", "level" : "intermediate" }, { "name" : "Test generation", "level" : "intermediate" }, { "name" : "Bug analysis", "level" : "intermediate" } ], "majorSkills" : "AI-powered QA systems, Test automation, LLM-assisted tools", "majorSkillsList" : [ "AI-powered QA systems", "Test automation", "LLM-assisted tools" ], "coreResponsibilities" : "Design AI-powered QA systems, Evolve AI-powered QA systems, Enhance automation coverage, Improve defect detection, Strengthen release confidence, Build AI-powered QA frameworks, Maintain AI-powered QA frameworks, Automate test design, Automate test execution, Automate validation workflows, Develop automated test suites, Use LLMs to accelerate test generation, Use LLMs to accelerate bug analysis, Use LLMs to accelerate workflow validation, Analyze defects, Analyze production incidents, Identify root causes, Implement preventive testing strategies, Reduce regressions, Integrate automated testing pipelines, Ensure continuous quality validation, Define test strategies, Ensure robust release validation, Improve QA processes, Expand test coverage, Enhance automation efficiency", "teamCollaboration" : "Collaborate with engineering teams; Collaborate with product teams", "domainKnowledge" : "AI-driven products; Agent-based systems; Modern automation stacks; Cloud-native architecture", "domainList" : [ "ai-driven-products", "agent-based-systems", "modern-automation-stacks", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "AI-driven products", "Agent-based systems", "Modern automation stacks", "Cloud-native architecture" ], "toolProficiency" : [ "GPT", "Claude", "Llama" ], "continuousLearning" : "Professional development reimbursement; Learning reimbursement support", "innovationCreativity" : "Experiment with new tools", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "specialRequirements" : "Work aligned with EST time zone", "outcomesObjectives" : "Enhance automation coverage; Improve defect detection; Strengthen release confidence; Reduce regressions", "qualificationsBasic" : "3+ years of QA experience, 2+ years in test automation, Proven hands-on experience using LLMs in QA, Python programming skills, PyTest expertise, Solid understanding of REST APIs, Solid understanding of client-server architecture, Solid understanding of web service testing, Experience working with SQL databases, Familiarity with CI/CD pipelines, Familiarity with automated testing integration, Analytical thinking, Ability to work independently, Ability to work aligned with EST time zone", "qualificationsPreferred" : "AI tools in real testing workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities In this role, you will design and evolve AI-powered QA systems that enhance automation coverage, improve defect detection, and strengthen release confidence across AI-driven products. Build and maintain AI-powered QA frameworks that automate test design, test execution, and validation workflows using LLM-assisted tools and modern automation stacks Develop automated test suites for functional, regression, integration, and performance testing across complex agent-based systems Use LLMs (such as GPT, Claude, and similar models) to accelerate test generation, bug analysis, and workflow validation Analyze defects and production incidents, identify root causes, and implement preventive testing strategies to reduce regressions Integrate automated testing pipelines into CI/CD workflows to ensure continuous quality validation Collaborate with engineering and product teams to define test strategies and ensure robust release validation Improve QA processes, expand test coverage, and enhance automation efficiency across evolving systems Requirements: The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows. 3+ years of QA experience, including at least 2+ years in test automation roles Proven hands-on experience using LLMs (GPT, Claude, Llama, or similar) in QA workflows and automation pipelines Strong programming skills in Python with expertise in PyTest and test automation frameworks Solid understanding of REST APIs, client-server architecture, and web service testing Experience working with SQL databases such as PostgreSQL or ClickHouse Familiarity with CI/CD pipelines and automated testing integration Strong analytical thinking and ability to work independently on complex systems and logic Ability to work aligned with EST time zone requirements Benefits: Competitive compensation package aligned with experience Remote-first work environment 20 paid time off days plus U.S. holidays Access to a modern AI-driven technology stack High degree of autonomy and freedom to experiment with new tools and approaches Professional development and learning reimbursement support Fast-paced startup culture with strong engineering collaboration ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "AI-native QA Engineer. Skills: AI-powered QA systems, Test automation, LLM-assisted tools. Design AI-powered QA systems. Evolve AI-powered QA systems", "postedDate" : "2026-06-12T13:43:32.828", "createdAt" : "2026-06-12T13:43:32.828", "lastUpdated" : "2026-06-15T22:43:32.791", "ingestTimestamp" : "2026-06-14T21:45:37.105", "mongoId" : "6a2cb20674d8ee00a09dee3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Automation coverage", "Defect detection", "Test generation", "Bug analysis", "AI-powered QA systems", "Test automation", "LLM-assisted tools", "Workflow validation", "Root cause analysis", "Release validation", "AI-driven products", "Agent-based systems", "Modern automation stacks", "Cloud-native architecture", "GPT", "Claude", "Llama" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 969.0544, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20674d8ee00a09dee44", "title" : "AI-native QA Engineer", "industry" : "IT", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for mid-seniority and the technology industry." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T00:37:33.361", "fingerprint" : "897a2cd2e3a72f386c751fc75221b65edf218c587fb05fd97bfa34a85c1dad58", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/d1ba36ef-2991-446a-acc1-d2bd9f2ac963/apply", "externalId" : "d1ba36ef-2991-446a-acc1-d2bd9f2ac963", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTest, REST APIs, SQL, PostgreSQL, ClickHouse, LLM, GPT, Claude, Llama", "professionalSkills" : [ "Test automation", "System design" ], "hardSkillsList" : [ "Automation coverage", "Defect detection", "Release confidence", "Test design automation", "Test execution automation", "Validation workflow automation", "Functional testing", "Regression testing", "Integration testing", "Performance testing", "Agent-based systems testing", "Bug analysis", "Workflow validation", "Root cause analysis", "Preventive testing", "CI/CD integration", "Test strategy definition", "QA process improvement", "Test coverage expansion", "Automation efficiency" ], "hardSkills" : [ { "name" : "Automation coverage", "level" : "intermediate" }, { "name" : "Defect detection", "level" : "intermediate" }, { "name" : "Release confidence", "level" : "intermediate" }, { "name" : "Test design automation", "level" : "intermediate" }, { "name" : "Test execution automation", "level" : "intermediate" }, { "name" : "Validation workflow automation", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Agent-based systems testing", "level" : "intermediate" }, { "name" : "Bug analysis", "level" : "intermediate" }, { "name" : "Workflow validation", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Preventive testing", "level" : "intermediate" }, { "name" : "CI/CD integration", "level" : "intermediate" }, { "name" : "Test strategy definition", "level" : "intermediate" }, { "name" : "QA process improvement", "level" : "intermediate" }, { "name" : "Test coverage expansion", "level" : "intermediate" }, { "name" : "Automation efficiency", "level" : "intermediate" } ], "majorSkills" : "AI-powered QA systems, Test automation, LLM-assisted tools", "majorSkillsList" : [ "AI-powered QA systems", "Test automation", "LLM-assisted tools" ], "coreResponsibilities" : "Design AI-powered QA systems, Evolve AI-powered QA systems, Enhance automation coverage, Improve defect detection, Strengthen release confidence, Build AI-powered QA frameworks, Maintain AI-powered QA frameworks, Automate test design, Automate test execution, Automate validation workflows, Develop automated test suites, Use LLMs to accelerate test generation, Use LLMs to accelerate bug analysis, Use LLMs to accelerate workflow validation, Analyze defects, Analyze production incidents, Identify root causes, Implement preventive testing strategies, Reduce regressions, Integrate automated testing pipelines, Ensure continuous quality validation, Define test strategies, Ensure robust release validation, Improve QA processes, Expand test coverage, Enhance automation efficiency", "teamCollaboration" : "Collaborate with engineering teams; Collaborate with product teams", "domainKnowledge" : "AI-driven products; Agent-based systems; Client-server architecture", "domainList" : [ "ai-driven-products", "agent-based-systems", "client-server-architecture" ], "domainSpecificKnowledge" : [ "AI-driven products", "Agent-based systems", "Client-server architecture" ], "toolProficiency" : [ "GPT", "Claude", "Llama" ], "continuousLearning" : "Professional development reimbursement", "innovationCreativity" : "Experiment with new tools", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "specialRequirements" : "Work aligned with EST", "qualificationsBasic" : "3+ years of QA experience, 2+ years in test automation, Hands-on experience using LLMs in QA, Python programming skills, PyTest expertise, Solid understanding of REST APIs, Client-server architecture knowledge, Web service testing experience, Experience with SQL databases, Familiarity with CI/CD pipelines, Familiarity with automated testing integration, Analytical thinking, Ability to work independently, Ability to work aligned with EST time zone", "qualificationsPreferred" : "Experience using AI tools in testing workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities In this role, you will design and evolve AI-powered QA systems that enhance automation coverage, improve defect detection, and strengthen release confidence across AI-driven products. Build and maintain AI-powered QA frameworks that automate test design, test execution, and validation workflows using LLM-assisted tools and modern automation stacks Develop automated test suites for functional, regression, integration, and performance testing across complex agent-based systems Use LLMs (such as GPT, Claude, and similar models) to accelerate test generation, bug analysis, and workflow validation Analyze defects and production incidents, identify root causes, and implement preventive testing strategies to reduce regressions Integrate automated testing pipelines into CI/CD workflows to ensure continuous quality validation Collaborate with engineering and product teams to define test strategies and ensure robust release validation Improve QA processes, expand test coverage, and enhance automation efficiency across evolving systems Requirements: The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows. 3+ years of QA experience, including at least 2+ years in test automation roles Proven hands-on experience using LLMs (GPT, Claude, Llama, or similar) in QA workflows and automation pipelines Strong programming skills in Python with expertise in PyTest and test automation frameworks Solid understanding of REST APIs, client-server architecture, and web service testing Experience working with SQL databases such as PostgreSQL or ClickHouse Familiarity with CI/CD pipelines and automated testing integration Strong analytical thinking and ability to work independently on complex systems and logic Ability to work aligned with EST time zone requirements Benefits: Competitive compensation package aligned with experience Remote-first work environment 20 paid time off days plus U.S. holidays Access to a modern AI-driven technology stack High degree of autonomy and freedom to experiment with new tools and approaches Professional development and learning reimbursement support Fast-paced startup culture with strong engineering collaboration ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "AI-native QA Engineer. Skills: AI-powered QA systems, Test automation, LLM-assisted tools. Design AI-powered QA systems. Evolve AI-powered QA systems", "postedDate" : "2026-06-12T13:39:26.756", "createdAt" : "2026-06-12T13:39:26.756", "lastUpdated" : "2026-06-16T00:37:33.361", "ingestTimestamp" : "2026-06-14T22:11:23.590", "mongoId" : "6a2cb20674d8ee00a09dee44", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Automation coverage", "Defect detection", "Release confidence", "Test design automation", "Test execution automation", "Validation workflow automation", "Functional testing", "Regression testing", "Integration testing", "Performance testing", "Agent-based systems testing", "Bug analysis", "Workflow validation", "Root cause analysis", "Preventive testing", "CI/CD integration", "Test strategy definition", "QA process improvement", "Test coverage expansion", "Automation efficiency", "AI-powered QA systems", "Test automation", "LLM-assisted tools", "System design", "AI-driven products", "Agent-based systems", "Client-server architecture", "GPT", "Claude", "Llama" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 968.6844, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cad9574d8ee00a09d2f25", "title" : "Senior QA Automation Engineer (AI Systems)", "company" : "Software Mind", "industry" : "Information Technology And Services", "salary" : { "min" : 1.3E7, "max" : 1.95E7, "currency" : "ARS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior QA Automation Engineer in Buenos Aires, Argentina, adjusted for the technology industry and full-time employment." }, "location" : "Buenos Aires, Buenos Aires, AR", "locations" : [ "Buenos Aires", "Buenos Aires", "AR" ], "timestamp" : "2026-06-16T01:53:35.048", "fingerprint" : "3936801001719ea06d3511a96da9af14043684768ce5481862a285ef43783a2d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SoftwareMind/744000131979509--vck-senior-qa-automation-engineer-ai-systems-", "externalId" : "744000131979509", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Buenos Aires", "state" : "Buenos Aires", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-34.5121516,-58.5248182" } ], "locationText" : "Buenos Aires, Buenos Aires, Argentina", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, Python, FastAPI, Vue.js, OpenSearch, Pinecone, OpenAI, Anthropic, VPC, ECS, Lambda, S3, DynamoDB, API Gateway, Cognito, CloudWatch, X-Ray, Terraform, AWS CDK, KMS, GitHub Actions, AWS CodePipeline, Amazon Bedrock", "professionalSkills" : [ "System design", "Tenant isolation", "Observability", "Security design" ], "hardSkillsList" : [ "Infrastructure provisioning", "CI/CD pipeline", "Vector store management", "Observability stack setup", "Infrastructure-as-code", "Secrets management", "KMS encryption", "Access controls", "LLM connectivity", "Environment promotion", "Ingestion pipeline" ], "hardSkills" : [ { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "CI/CD pipeline", "level" : "intermediate" }, { "name" : "Vector store management", "level" : "intermediate" }, { "name" : "Observability stack setup", "level" : "intermediate" }, { "name" : "Infrastructure-as-code", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "KMS encryption", "level" : "intermediate" }, { "name" : "Access controls", "level" : "intermediate" }, { "name" : "LLM connectivity", "level" : "intermediate" }, { "name" : "Environment promotion", "level" : "intermediate" }, { "name" : "Ingestion pipeline", "level" : "intermediate" } ], "majorSkills" : "AWS infrastructure, CI/CD, AI/LLM operations, Multi-tenancy", "majorSkillsList" : [ "AWS infrastructure", "CI/CD", "AI/LLM operations", "Multi-tenancy" ], "coreResponsibilities" : "Provision and configure AWS VPC, Build baseline CI/CD pipeline, Maintain and evolve CI/CD pipeline, Configure and manage vector store infrastructure, Set up observability stack, Manage alerting thresholds, Implement infrastructure-as-code, Manage secrets, Configure KMS encryption, Manage tenant-scoped access controls, Configure LLM provider connectivity, Define environment promotion strategy, Implement environment promotion strategy, Support ingestion pipeline infrastructure, Schedule nightly ingestion", "teamCollaboration" : "Cross-functional team; LATAM-based team", "projectManagementSkills" : [ "Agile", "Sprint cadence" ], "domainKnowledge" : "AI systems; LLM-based workloads; Retrieval-first system; Vector index; Real estate industry; Title and settlement industry; Zero-data-retention", "domainList" : [ "ai-systems", "llm-based-workloads", "retrieval-first-system", "vector-index", "real-estate-industry", "title-and-settlement-industry", "zero-data-retention" ], "domainSpecificKnowledge" : [ "AI systems", "LLM-based workloads", "Retrieval-first system", "Vector index", "Real estate industry", "Title and settlement industry", "Zero-data-retention" ], "toolProficiency" : [ "Terraform", "AWS CDK", "GitHub Actions", "AWS CodePipeline", "OpenSearch", "Pinecone", "CloudWatch", "X-Ray", "Okta", "Azure AD", "AWS Textract" ], "qualificationsBasic" : "6+ years in DevOps, AWS specialisation required, Infrastructure-as-code experience, CI/CD tooling experience, Core AWS services experience, Experience designing multi-tenant environments, Experience operating production AI workloads, Hands-on AI delivery experience", "qualificationsPreferred" : "Experience with enterprise SSO, Experience with identity federation, Background in HIPAA, Background in SOC 2, Background in regulated-data cloud configuration, Familiarity with OCR infrastructure, Familiarity with document processing infrastructure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! About the Project Software Mind is building a private, tenant-isolated AI assistant for the real estate title and settlement industry. The platform is a retrieval-first (RAG) system that ingests historical email, documents, and structured metadata into a per-tenant vector index, and serves grounded, cited, expert-weighted answers through a chat-style Q&A interface with single sign-on and full audit logging. The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/Pinecone vector store, and OpenAI/Anthropic/Bedrock as LLM provider. You will join a senior, cross-functional LATAM-based team where hands-on AI delivery experience not just familiarity is the baseline expectation. You stand up and own the cloud infrastructure and CI/CD foundation the entire project runs on. Your work is on the critical path from day one: delivery begins with environment provisioning. You design for tenant isolation, observability, and security from the outset not as an afterthought. This role requires prior experience operating infrastructure for production AI or LLM-based workloads. Your Responsibilities * Provision and configure a dedicated VPC and segmented cloud environment on AWS * Build the baseline CI/CD pipeline and maintain and evolve it across all delivery phases * Configure and manage the vector store infrastructure (OpenSearch/Pinecone on AWS) * Set up and manage the observability stack: CloudWatch, X-Ray, alerting thresholds, and LLM-specific monitoring * Implement infrastructure-as-code for all environments (dev, staging, production) using Terraform or CDK * Manage secrets, KMS encryption key configuration, and tenant-scoped access controls * Configure LLM provider connectivity (OpenAI / Anthropic / Amazon Bedrock enterprise tier, zero-data-retention) * Define and implement environment promotion strategy aligned with the 2-week sprint cadence * Support incremental ingestion pipeline infrastructure requirements and nightly scheduling ## Qualifications Must-Have Skills & Experience * 6+ years in DevOps or cloud infrastructure engineering; strong AWS specialisation required * Infrastructure-as-code: Terraform, CloudFormation, or AWS CDK * CI/CD tooling: GitHub Actions, AWS CodePipeline, or equivalent * Core AWS services: VPC, ECS, Lambda, S3, DynamoDB, API Gateway, Cognito, CloudWatch, X-Ray * Experience designing and operating multi-tenant cloud environments with tenant-level data isolation ## Additional Information Nice-to-Have * Experience with enterprise SSO and identity federation: Cognito, Okta, or Azure AD * Background in HIPAA, SOC 2, or regulated-data cloud environment configuration * Familiarity with OCR or document processing service infrastructure (AWS Textract, etc.) We are accepting applications from LATAM countries #LI-DNI", "summaryDescription" : "Senior QA Automation Engineer (AI Systems) at Software Mind. Skills: AWS infrastructure, CI/CD, AI/LLM operations, Multi-tenancy. Provision and configure AWS VPC. Build baseline CI/CD pipeline", "postedDate" : "2026-06-12T19:40:41.000", "createdAt" : "2026-06-14T21:11:58.446", "lastUpdated" : "2026-06-16T01:53:35.048", "ingestTimestamp" : "2026-06-14T21:11:58.446", "mongoId" : "6a2cad9574d8ee00a09d2f25", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Infrastructure provisioning", "CI/CD pipeline", "Vector store management", "Observability stack setup", "Infrastructure-as-code", "Secrets management", "KMS encryption", "Access controls", "LLM connectivity", "Environment promotion", "Ingestion pipeline", "AWS infrastructure", "CI/CD", "AI/LLM operations", "Multi-tenancy", "System design", "Tenant isolation", "Observability", "Security design", "Agile", "Sprint cadence", "AI systems", "LLM-based workloads", "Retrieval-first system", "Vector index", "Real estate industry", "Title and settlement industry", "Zero-data-retention", "Terraform", "AWS CDK", "GitHub Actions", "AWS CodePipeline", "OpenSearch", "Pinecone", "CloudWatch", "X-Ray", "Okta", "Azure AD", "AWS Textract" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 967.89185, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305627f292fd229cf256f3", "title" : "Senior QA Engineer - Automation", "company" : "Senior QA Engineer", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior QA Engineer in Gurgaon, India, adjusted for seniority and technology industry." }, "location" : "Gurugram", "locations" : [ "Gurugram", "India" ], "timestamp" : "2026-06-16T13:13:29.236", "fingerprint" : "ab9232a7a3222055ffe941ce67d49c78eafdf47ceda3285f8a8c6c05fce02bf5", "source" : "workday", "language" : "en", "applyUrl" : "https://saxobank.wd3.myworkdayjobs.com/CareeratSaxoBank/job/Gurugram/Senior-QA-Engineer---Automation_R-18570", "externalId" : "R-18570", "industryFunction" : { }, "locationPoint" : "28.4601,77.02635", "structuredLocations" : [ { "city" : "Gurgaon", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurgaon, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 12, "experienceLevel" : "Senior", "technicalSkills" : "Playwrite, C#, Selenium WebDriver, NUnit, MSTest, SQL, Git, Azure DevOps, GitLab CI, Cucumber, SpecFlow, Postman, Rest Assured, JMeter", "professionalSkills" : [ "Object-oriented programming" ], "hardSkillsList" : [ "Automation Testing", "API testing", "Database validation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Automation Testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Database validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Automation Testing, Playwrite, C#", "majorSkillsList" : [ "Automation Testing", "Playwrite", "C#" ], "coreResponsibilities" : "Design automation test scripts, Develop automation test scripts, Maintain automation test scripts, Enhance test automation frameworks, Maintain test automation frameworks, Enhance test data, Maintain test data, Integrate automated tests, Execute regression test suites, Execute functional test suites, Execute integration test suites, Perform manual testing, Track defects to closure, Create test plans, Execute test plans, Create test cases, Execute test cases, Create test scripts, Execute test scripts, Collaborate with developers, Collaborate with product teams, Resolve issues efficiently, Participate in Agile ceremonies, Provide test status reports, Provide quality metrics, Mentor junior QA team members, Support QA process improvement", "teamCollaboration" : "Collaborate with developers; Collaborate with product teams; Agile ceremonies", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "SDLC; AI / LLM Testing", "domainList" : [ "sdlc", "ai-llm-testing" ], "domainSpecificKnowledge" : [ "SDLC", "AI / LLM Testing" ], "toolProficiency" : [ "Playwrite", "Azure DevOps", "Git", "NUnit", "MSTest", "Postman", "Rest Assured", "JMeter", "DeepEval", "TruLens", "OpenAI Evals", "RAGAS", "LangTest", "Giskard", "Promptfoo", "MLflow LLM Evaluate", "Deepchecks" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "7-12 years Automation Testing, Knowledge of SDLC, Knowledge of Agile methodologies, Proficiency in C#, Object-oriented programming, Hands-on experience with Selenium WebDriver, Hands-on experience with Playwrtite, Experience with NUnit, Experience with MSTest, Understanding of functional testing, Understanding of regression testing, Understanding of UI testing, Understanding of API testing, Experience with defect tracking tools, Experience with test management tools, Working knowledge of Git, Experience with SQL, Analytical skills, Communication skills, Teamwork skills", "qualificationsPreferred" : "JUnit is a plus, TestNG is a plus, CI/CD experience with Azure DevOps, CI/CD experience with GitLab CI, BDD frameworks, MS Dynamics 365 CRM knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Location:** Gurgaon (On-site) **Experience:** 7–12 Years **Responsibilities** * Design, develop, and maintain automation test scripts using Playwrite and C# * Enhance and maintain test automation frameworks and test data * Integrate automated tests into CI/CD pipelines (Azure DevOps) * Execute regression, functional, and integration test suites * Perform detailed manual testing and track defects to closure * Create and execute test plans, test cases, and test scripts * Collaborate with developers and product teams to resolve issues efficiently * Participate in Agile ceremonies (stand-ups, sprint planning, backlog refinement) * Provide test status reports and quality metrics to stakeholders * Mentor junior QA team members and support QA process improvement **Your Profile** * 7–12 years of experience in Automation Testing * Strong knowledge of SDLC and Agile methodologies * Proficiency in C# and object-oriented programming * Hands-on experience with Selenium WebDriver/Playwrtite * Experience with NUnit or MSTest (JUnit/TestNG is a plus) * Strong understanding of functional, regression, UI, and API testing * Experience with defect tracking and test management tools * Working knowledge of Git * Experience with SQL for database validation * Strong analytical, communication, and teamwork skills **Preferred Skills** * CI/CD experience with Azure DevOps, or GitLab CI * BDD frameworks: Cucumber or SpecFlow * AI / LLM Testing Expertise (DeepEval, TruLens, OpenAI Evals, RAGAS, LangTest, Giskard, Promptfoo, MLflow LLM Evaluate, Deepchecks ) * API testing using Postman or Rest Assured * Performance testing with JMeter/ GuideLLM / LLM Performance Test Studio * Nice to have: MS Dynamics 365 CRM knowledge **We get curious people invested in the world** When you work at Saxo, you become a Saxonian and part of a purpose-driven organisation, where good ideas are always taken seriously, and where you can make a true impact. We are invested in your development, and you can expect a robust career from day one when you join Saxo – no matter which role you take on. You will join 2,500 other ambitious colleagues across 15 countries and become part of an international organisation. Working in Saxo, you will get to meet colleagues from many different cultures and backgrounds, and you should know that we value diversity and inclusion and see it as a genuine source of strength to drive growth, foster innovation and position us for long-term success. We encourage an open feedback culture and supportive team environments enabling employees to grow and fulfil their career aspirations. When you bring passion, curiosity, drive and team spirit, your learning journey will be dynamic and your career opportunities in Saxo will be immense. At Saxo we don’t just offer a job – we offer an opportunity to invest in your future! **How to apply :** Click here to create an account and upload your resume and a short motivation. We look forward to getting to know you better!", "summaryDescription" : "Senior QA Engineer - Automation at Senior QA Engineer. Skills: Automation Testing, Playwrite, C#. Design automation test scripts. Develop automation test scripts", "postedDate" : "2026-06-13T03:51:09.433", "createdAt" : "2026-06-16T03:51:09.418", "lastUpdated" : "2026-06-16T13:13:29.236", "ingestTimestamp" : "2026-06-16T03:51:09.418", "mongoId" : "6a305627f292fd229cf256f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://saxobank.wd3.myworkdayjobs.com/CareeratSaxoBank/job/Gurugram/Senior-QA-Engineer---Automation_R-18570", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Automation Testing", "API testing", "Database validation", "Mentoring", "Playwrite", "C#", "Object-oriented programming", "Agile methodologies", "SDLC", "AI / LLM Testing", "Azure DevOps", "Git", "NUnit", "MSTest", "Postman", "Rest Assured", "JMeter", "DeepEval", "TruLens", "OpenAI Evals", "RAGAS", "LangTest", "Giskard", "Promptfoo", "MLflow LLM Evaluate", "Deepchecks" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 966.34515, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3057a0f292fd229cf3c3e9", "title" : "Quality Engineering Intern, AI/ML", "company" : "Rocket Lawyer", "industry" : "Legal", "salary" : { "min" : 40.0, "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arizona ", "locations" : [ "Arizona", "California", "Colorado", "North Carolina", "Utah" ], "timestamp" : "2026-06-16T07:39:49.821", "fingerprint" : "d717137b205e7ef1ba98047f11de50336e2931c5e8b3311e4503f941be359937", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/rocketlawyer/jobs/5263173008", "externalId" : "5263173008", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "state" : "Arizona", "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "state" : "Colorado", "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "state" : "North Carolina", "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "state" : "Utah", "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "California, United States; Arizona, United States; Colorado, United States; North Carolina, United States; Utah, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "rawDescription" : "About Rocket Lawyer We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered. We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge! About your role Join our team as a Quality Engineering Intern on the AI/ML team at Rocket Lawyer, where you'll have the exciting opportunity to contribute to the testing of applications for Rocket Copilot, our AI Product. This internship offers hands-on experience in the software development process, and you'll collaborate closely with a talented, diverse, and global test team. Your work will directly impact the quality of Rocket Lawyer’s products, all while gaining valuable insights into industry best practices for software development and test automation. In this role, you'll dive into various areas of test automation, including mobile, partnerships, web frontend, and performance testing. This internship provides a unique chance to apply your skills and learn innovative testing and automation techniques, all while receiving mentorship from experienced professionals in the field. If you're eager to contribute to real-world projects and grow your expertise, we would love to have you join us! How you will make a difference day to day Assist with the creation and execution of automated tests for mobile applications. Partnerships Test Automation: Develop automated test scripts for integrations with external partners. Contribute to the automation of testing for marketing sites and Google Tag Manager functionality. Help build and execute automated test cases for web frontend applications and authoring tools. Assist in identifying and measuring system performance to ensure optimal functionality under varying loads. Actively participate in daily scrum meetings, collaborating with team members and engineers to align on priorities and tasks. Support in the building, execution, and delivery of automated test scripts and results. What you’ll need Graduate Student, Recent Graduate, or in your Senior year: Pursuing a technical degree in computer science, engineering, mathematics, or a related field. Familiarity with Javascript/Typescript and Python. A strong desire to expand your knowledge, improve technical skills, and grow within a collaborative environment. We encourage applicants from all backgrounds and communities to apply. We believe that diverse perspectives strengthen our teams and enhance the quality of our work. Interview Process Recruiter Phone Screen Hiring Manager Interview Team Interview Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@rocketlawyer.com. Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship. Compensation per hour by location: San Francisco Bay Area, CA: $50.00 California (outside of San Francisco Bay Area): $46.25 Colorado: $42.50 Utah, Arizona, and North Carolina: $40.00 Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level. Base salary range: $40—$50 USD By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.", "summaryDescription" : "Quality Engineering Intern, AI/ML at Rocket Lawyer", "postedDate" : "2026-06-15T23:24:24.217", "createdAt" : "2026-06-15T23:24:24.217", "lastUpdated" : "2026-06-16T07:39:49.821", "ingestTimestamp" : "2026-06-15T23:24:24.217", "mongoId" : "6a3057a0f292fd229cf3c3e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83200, "salaryAnnualMax" : 104000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 965.39136, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca65e74d8ee00a09bb01f", "title" : "AI Automation Engineer", "company" : "bol. com EN", "industry" : "E-Commerce", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Automation Engineer in Utrecht, Netherlands, adjusted for mid-seniority and e-commerce industry." }, "location" : "Utrecht, Utrecht, Netherlands", "locations" : [ "Utrecht", "Utrecht", "Netherlands" ], "timestamp" : "2026-06-15T09:13:04.698", "fingerprint" : "426c52d6bc26b9ecdfad7815c0dff8dc42bcde895ebb23b27275c6cada8819dc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bolcomen/jobs/8581587002", "externalId" : "8581587002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Utrecht", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.0907006,5.1215634" } ], "locationText" : "Utrecht, Utrecht, Netherlands", "rawDescription" : "x", "summaryDescription" : "AI Automation Engineer at bol. com EN", "postedDate" : "2026-06-14T06:30:00.232", "createdAt" : "2026-06-14T06:30:00.232", "lastUpdated" : "2026-06-15T09:13:04.698", "ingestTimestamp" : "2026-06-14T06:30:00.232", "mongoId" : "6a2ca65e74d8ee00a09bb01f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 957.94653, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca05874d8ee00a09a1f8a", "title" : "Automation QA Engineer | Senior | Apps Team", "company" : "NORD SECURITY", "industry" : "NordLayer", "salary" : { "min" : 4300.0, "max" : 5800.0, "currency" : "EUR", "frequency" : "Yearly" }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-16T02:57:28.698", "fingerprint" : "76a73dbd52df5b89907bb6cfebb669c1a8bd14b94f767618b4ba89cc4cedf5b2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nord-security/d6f052e2-41de-4016-bbe4-d81f13aebc6a/application", "externalId" : "d6f052e2-41de-4016-bbe4-d81f13aebc6a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "JS, TS, Appium", "professionalSkills" : [ "Code quality", "Architecture decisions" ], "hardSkillsList" : [ "Native testing solutions" ], "hardSkills" : [ { "name" : "Native testing solutions", "level" : "intermediate" } ], "majorSkills" : "Test automation, Appium", "majorSkillsList" : [ "Test automation", "Appium" ], "coreResponsibilities" : "Set up test automation, Develop automated test suites, Maintain automated test suites, Report software defects, Work across development teams, Work closely with product managers, Work closely with developers, Work closely with QA team members", "teamCollaboration" : "Development teams; Product managers; QA team members", "domainKnowledge" : "Cybersecurity products", "domainList" : [ "cybersecurity-products" ], "domainSpecificKnowledge" : [ "Cybersecurity products" ], "toolProficiency" : [ "Appium" ], "communicationSkills" : "Clear and concise writing; Clear and concise speech", "continuousLearning" : "Online training programs; Offline training programs; Mentorship; Career-switch opportunities", "innovationCreativity" : "Innovate with industry leaders; Build world-leading cybersecurity tools", "qualificationsBasic" : "Expertise in native testing solutions, Knowledge of JS and TS, Solid understanding of native applications, Advanced knowledge of Appium, Ability to leverage AI coding tools", "qualificationsPreferred" : "Appium ecosystem knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "AT NORD SECURITY’S B2B TEAM, WE BUILD CYBERSECURITY PRODUCTS THAT ENABLE BUSINESSES TO PROTECT THEMSELVES AND THEIR DATA. From product and engineering to sales, marketing, and data — our teams work closely together to deliver secure, scalable solutions trusted by companies around the world. Your impact? Empowering businesses everywhere to keep their people, systems, and data safe. MAIN RESPONSIBILITIES - Set up test automation in the project from the ground up. - Develop and maintain efficient automated test suites across different supported platforms. - Report software defects and work across development teams to resolve them. - Work closely with product managers, developers, and other QA team members in ensuring high-quality products. CORE REQUIREMENTS - Expertise in developing and maintaining comprehensive native testing solutions. - Strong knowledge of JS and TS. - Solid understanding of native applications. - Advanced knowledge of Appium and its ecosystem. - Ability to leverage AI coding tools effectively while maintaining full ownership of code quality, architecture decisions, and outcomes. - You are sharp-eyed with attention to detail. - Strong ownership and proactivity; feeling comfortable in taking initiative and creating from scratch. - Direct, straightforward communication; clear and concise in writing and speech. WHAT WE OFFER Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Work in a next-gen Cyber City office Thrive in our bustling office, featuring ergonomic workspaces, modern meeting rooms, engaging events, and specialty coffee to fuel your day. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Boost your health with free-of-charge 24/7 gym access, onsite and online workouts, and consultations led by in-house Physical Well-Being experts. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Extra days off Enjoy additional vacation days off as you grow with us. Plus, get extra days for sick leave, special occasions, or parenting needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Kindly refer to our Privacy Notice for Recruitment Candidates https://drive.google.com/file/d/1b2tV684_SYV1jQ4kuf91cnzrRBk3ef-5/view for comprehensive information regarding our data handling procedures throughout recruitment processes. We expect all candidates to provide accurate and complete information during the recruitment process. While limited use of AI tools to refine application materials is acceptable, candidates remain fully responsible for ensuring that their submissions reflect their own qualifications, skills, and experience. Any failure to do so may negatively affect participation in the recruitment process. If broader AI assistance is allowed for a particular role or stage, we’ll let you know in advance. By submitting your application, you acknowledge that it may be processed using automated tools for evaluation purposes. As part of our recruitment process, we may use an AI-based application review tool to help assess applications based on skills and experience relevant to the role. This technology is used to support - not replace - human decision-making, and every application is ultimately reviewed by a recruiter. If you would like more information about how AI is used in this process or wish to exercise your rights under applicable data privacy laws, please contact us at privacy@nordaccount.com. Should you prefer to opt out of the automated evaluation, please submit your application directly to career@nordsec.com.", "summaryDescription" : "Automation QA Engineer | Senior | Apps Team at NORD SECURITY. Skills: Test automation, Appium. Set up test automation. Develop automated test suites", "createdAt" : "2026-06-14T20:12:16.436", "lastUpdated" : "2026-06-16T02:57:28.698", "ingestTimestamp" : "2026-06-14T20:12:16.436", "mongoId" : "6a2ca05874d8ee00a09a1f8a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Native testing solutions", "Test automation", "Appium", "Code quality", "Architecture decisions", "Cybersecurity products" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 951.5351, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb20674d8ee00a09dee3a", "title" : "AI-native QA Engineer", "industry" : "IT", "salary" : { "min" : 550000.0, "max" : 850000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI-native QA Engineer in South Africa, adjusted for the technology industry and onsite work mode." }, "location" : "South Africa", "locations" : [ "South Africa" ], "timestamp" : "2026-06-16T04:23:17.592", "fingerprint" : "8e1779bcc667012605a94a52d1d471238c2a8e0b98c878549c6536b450f8ac08", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/69e2f458-09bf-4d7e-a18c-f523485eca88/apply", "externalId" : "69e2f458-09bf-4d7e-a18c-f523485eca88", "industryFunction" : { }, "structuredLocations" : [ { "country" : "South Africa", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "South Africa", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTest, REST APIs, SQL, PostgreSQL, ClickHouse, LLM, GPT, Claude, Llama", "professionalSkills" : [ "Test automation", "Workflow validation", "Root cause analysis", "Preventive testing" ], "hardSkillsList" : [ "Automation coverage", "Defect detection", "Release confidence", "Test design automation", "Test execution automation", "Validation workflow automation", "Functional testing", "Regression testing", "Integration testing", "Performance testing", "Agent-based systems testing", "Bug analysis", "CI/CD integration", "Test strategy definition", "QA process improvement", "Test coverage expansion", "Automation efficiency" ], "hardSkills" : [ { "name" : "Automation coverage", "level" : "intermediate" }, { "name" : "Defect detection", "level" : "intermediate" }, { "name" : "Release confidence", "level" : "intermediate" }, { "name" : "Test design automation", "level" : "intermediate" }, { "name" : "Test execution automation", "level" : "intermediate" }, { "name" : "Validation workflow automation", "level" : "intermediate" }, { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Agent-based systems testing", "level" : "intermediate" }, { "name" : "Bug analysis", "level" : "intermediate" }, { "name" : "CI/CD integration", "level" : "intermediate" }, { "name" : "Test strategy definition", "level" : "intermediate" }, { "name" : "QA process improvement", "level" : "intermediate" }, { "name" : "Test coverage expansion", "level" : "intermediate" }, { "name" : "Automation efficiency", "level" : "intermediate" } ], "majorSkills" : "AI-powered QA systems, LLM-assisted tools, Test automation frameworks", "majorSkillsList" : [ "AI-powered QA systems", "LLM-assisted tools", "Test automation frameworks" ], "coreResponsibilities" : "Design AI-powered QA systems, Evolve AI-powered QA systems, Enhance automation coverage, Improve defect detection, Strengthen release confidence, Build AI-powered QA frameworks, Automate test design, Automate test execution, Automate validation workflows, Develop automated test suites, Use LLMs to accelerate test generation, Use LLMs to accelerate bug analysis, Use LLMs to accelerate workflow validation, Analyze defects, Analyze production incidents, Identify root causes, Implement preventive testing strategies, Reduce regressions, Integrate automated testing pipelines, Ensure continuous quality validation, Define test strategies, Ensure robust release validation, Improve QA processes, Expand test coverage, Enhance automation efficiency", "teamCollaboration" : "Collaborate with engineering teams; Collaborate with product teams", "domainKnowledge" : "AI-driven products; Agent-based systems; Client-server architecture; Web service testing", "domainList" : [ "ai-driven-products", "agent-based-systems", "client-server-architecture", "web-service-testing" ], "domainSpecificKnowledge" : [ "AI-driven products", "Agent-based systems", "Client-server architecture", "Web service testing" ], "toolProficiency" : [ "LLM-assisted tools", "CI/CD pipelines" ], "continuousLearning" : "Professional development; Learning reimbursement", "innovationCreativity" : "Experiment with new tools", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "specialRequirements" : "Aligned with EST time zone", "outcomesObjectives" : "Enhance automation coverage; Improve defect detection; Strengthen release confidence; Reduce regressions", "qualificationsBasic" : "3+ years of QA experience, 2+ years in test automation, Proven hands-on experience using LLMs in QA, Programming skills in Python, Expertise in PyTest, Solid understanding of REST APIs, Solid understanding of client-server architecture, Solid understanding of web service testing, Experience working with SQL databases, Familiarity with CI/CD pipelines, Familiarity with automated testing integration, Analytical thinking, Ability to work independently, Ability to work aligned with EST time zone", "qualificationsPreferred" : "AI tools in real testing workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities In this role, you will design and evolve AI-powered QA systems that enhance automation coverage, improve defect detection, and strengthen release confidence across AI-driven products. Build and maintain AI-powered QA frameworks that automate test design, test execution, and validation workflows using LLM-assisted tools and modern automation stacks Develop automated test suites for functional, regression, integration, and performance testing across complex agent-based systems Use LLMs (such as GPT, Claude, and similar models) to accelerate test generation, bug analysis, and workflow validation Analyze defects and production incidents, identify root causes, and implement preventive testing strategies to reduce regressions Integrate automated testing pipelines into CI/CD workflows to ensure continuous quality validation Collaborate with engineering and product teams to define test strategies and ensure robust release validation Improve QA processes, expand test coverage, and enhance automation efficiency across evolving systems Requirements: The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows. 3+ years of QA experience, including at least 2+ years in test automation roles Proven hands-on experience using LLMs (GPT, Claude, Llama, or similar) in QA workflows and automation pipelines Strong programming skills in Python with expertise in PyTest and test automation frameworks Solid understanding of REST APIs, client-server architecture, and web service testing Experience working with SQL databases such as PostgreSQL or ClickHouse Familiarity with CI/CD pipelines and automated testing integration Strong analytical thinking and ability to work independently on complex systems and logic Ability to work aligned with EST time zone requirements Benefits: Competitive compensation package aligned with experience Remote-first work environment 20 paid time off days plus U.S. holidays Access to a modern AI-driven technology stack High degree of autonomy and freedom to experiment with new tools and approaches Professional development and learning reimbursement support Fast-paced startup culture with strong engineering collaboration ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "AI-native QA Engineer. Skills: AI-powered QA systems, LLM-assisted tools, Test automation frameworks. Design AI-powered QA systems. 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}, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Preventive testing", "level" : "intermediate" }, { "name" : "CI/CD integration", "level" : "intermediate" }, { "name" : "Test strategy definition", "level" : "intermediate" }, { "name" : "Release validation", "level" : "intermediate" }, { "name" : "QA process improvement", "level" : "intermediate" }, { "name" : "Test coverage expansion", "level" : "intermediate" }, { "name" : "Automation efficiency", "level" : "intermediate" } ], "majorSkills" : "AI-powered QA systems, LLM-assisted tools, Test automation frameworks", "majorSkillsList" : [ "AI-powered QA systems", "LLM-assisted tools", "Test automation frameworks" ], "coreResponsibilities" : "Design AI-powered QA systems, Evolve AI-powered QA systems, Enhance automation coverage, Improve defect detection, Strengthen release confidence, Build AI-powered QA frameworks, Maintain AI-powered QA frameworks, Automate test design, Automate test execution, Automate validation workflows, Develop automated test suites, Test functional aspects, Test regression aspects, Test integration aspects, Test performance aspects, Use LLMs to accelerate test generation, Use LLMs to accelerate bug analysis, Use LLMs to accelerate workflow validation, Analyze defects, Analyze production incidents, Identify root causes, Implement preventive testing strategies, Reduce regressions, Integrate automated testing pipelines, Ensure continuous quality validation, Collaborate with engineering teams, Collaborate with product teams, Define test strategies, Ensure robust release validation, Improve QA processes, Expand test coverage, Enhance automation efficiency", "teamCollaboration" : "Engineering teams; Product teams", "domainKnowledge" : "AI-driven products; Agent-based systems; Client-server architecture; Web service testing", "domainList" : [ "ai-driven-products", "agent-based-systems", "client-server-architecture", "web-service-testing" ], "domainSpecificKnowledge" : [ "AI-driven products", "Agent-based systems", "Client-server architecture", "Web service testing" ], "toolProficiency" : [ "GPT", "Claude", "PyTest" ], "continuousLearning" : "Professional development reimbursement", "innovationCreativity" : "Experiment with new tools", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "specialRequirements" : "Work aligned with EST time zone", "outcomesObjectives" : "Enhance automation coverage; Improve defect detection; Strengthen release confidence; Reduce regressions; Ensure continuous quality validation; Improve QA processes; Expand test coverage; Enhance automation efficiency", "qualificationsBasic" : "3+ years of QA experience, 2+ years in test automation, Proven hands-on experience using LLMs in QA, Python programming skills, PyTest expertise, Solid understanding of REST APIs, Solid understanding of client-server architecture, Solid understanding of web service testing, Experience working with SQL databases, Familiarity with CI/CD pipelines, Familiarity with automated testing integration, Analytical thinking, Ability to work independently, Ability to work aligned with EST time zone", "qualificationsPreferred" : "Experience with Llama LLM, Experience with PostgreSQL, Experience with ClickHouse", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities In this role, you will design and evolve AI-powered QA systems that enhance automation coverage, improve defect detection, and strengthen release confidence across AI-driven products. Build and maintain AI-powered QA frameworks that automate test design, test execution, and validation workflows using LLM-assisted tools and modern automation stacks Develop automated test suites for functional, regression, integration, and performance testing across complex agent-based systems Use LLMs (such as GPT, Claude, and similar models) to accelerate test generation, bug analysis, and workflow validation Analyze defects and production incidents, identify root causes, and implement preventive testing strategies to reduce regressions Integrate automated testing pipelines into CI/CD workflows to ensure continuous quality validation Collaborate with engineering and product teams to define test strategies and ensure robust release validation Improve QA processes, expand test coverage, and enhance automation efficiency across evolving systems Requirements: The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows. 3+ years of QA experience, including at least 2+ years in test automation roles Proven hands-on experience using LLMs (GPT, Claude, Llama, or similar) in QA workflows and automation pipelines Strong programming skills in Python with expertise in PyTest and test automation frameworks Solid understanding of REST APIs, client-server architecture, and web service testing Experience working with SQL databases such as PostgreSQL or ClickHouse Familiarity with CI/CD pipelines and automated testing integration Strong analytical thinking and ability to work independently on complex systems and logic Ability to work aligned with EST time zone requirements Benefits: Competitive compensation package aligned with experience Remote-first work environment 20 paid time off days plus U.S. holidays Access to a modern AI-driven technology stack High degree of autonomy and freedom to experiment with new tools and approaches Professional development and learning reimbursement support Fast-paced startup culture with strong engineering collaboration ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "AI-native QA Engineer. Skills: AI-powered QA systems, LLM-assisted tools, Test automation frameworks. Design AI-powered QA systems. 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"applyUrl" : "https://jobs.lever.co/jobgether/f2e68c60-5c7e-4dfd-8a7c-f431aa7c6328/apply", "externalId" : "f2e68c60-5c7e-4dfd-8a7c-f431aa7c6328", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ireland", "continent" : "eu", "workMode" : "remote" }, { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, PyTest, REST APIs, SQL, LLM, GPT, Claude", "professionalSkills" : [ "Test automation", "Workflow validation", "Root cause analysis", "Preventive testing" ], "hardSkillsList" : [ "Automation coverage", "Defect detection", "Release confidence", "Test design automation", "Test execution automation", "Validation workflow automation", "Functional testing", "Regression testing", "Integration testing", "Performance testing", "Agent-based systems testing", "Test generation", "Bug analysis", "CI/CD integration", "QA 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improvement", "level" : "intermediate" }, { "name" : "Test coverage expansion", "level" : "intermediate" }, { "name" : "Automation efficiency", "level" : "intermediate" } ], "majorSkills" : "AI-powered QA systems, LLM-assisted tools, Test automation frameworks", "majorSkillsList" : [ "AI-powered QA systems", "LLM-assisted tools", "Test automation frameworks" ], "coreResponsibilities" : "Design AI-powered QA systems, Evolve AI-powered QA systems, Enhance automation coverage, Improve defect detection, Strengthen release confidence, Build AI-powered QA frameworks, Maintain AI-powered QA frameworks, Automate test design, Automate test execution, Automate validation workflows, Develop automated test suites, Test complex agent-based systems, Use LLMs to accelerate test generation, Use LLMs to accelerate bug analysis, Use LLMs to accelerate workflow validation, Analyze defects, Analyze production incidents, Identify root causes, Implement preventive testing strategies, Reduce regressions, Integrate automated testing pipelines, Ensure continuous quality validation, Define test strategies, Ensure robust release validation, Improve QA processes, Expand test coverage, Enhance automation efficiency", "teamCollaboration" : "Collaborate with engineering teams; Collaborate with product teams", "domainKnowledge" : "AI-driven products; Agent-based systems; Client-server architecture; Web service testing", "domainList" : [ "ai-driven-products", "agent-based-systems", "client-server-architecture", "web-service-testing" ], "domainSpecificKnowledge" : [ "AI-driven products", "Agent-based systems", "Client-server architecture", "Web service testing" ], "toolProficiency" : [ "GPT", "Claude", "Llama" ], "continuousLearning" : "Professional development reimbursement; Learning reimbursement support", "innovationCreativity" : "Experiment with new tools", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "specialRequirements" : "Aligned with EST time zone", "outcomesObjectives" : "Enhance automation coverage; Improve defect detection; Strengthen release confidence; Reduce regressions; Ensure continuous quality validation; Improve QA processes; Expand test coverage; Enhance automation efficiency", "qualificationsBasic" : "3+ years of QA experience, 2+ years in test automation, Proven hands-on experience using LLMs, Python programming skills, PyTest expertise, Solid understanding of REST APIs, Solid understanding of client-server architecture, Solid understanding of web service testing, Experience working with SQL databases, Familiarity with CI/CD pipelines, Familiarity with automated testing integration, Analytical thinking, Ability to work independently, Ability to work aligned with EST time zone", "qualificationsPreferred" : "Experience with Llama LLM, Experience with PostgreSQL, Experience with ClickHouse", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities In this role, you will design and evolve AI-powered QA systems that enhance automation coverage, improve defect detection, and strengthen release confidence across AI-driven products. Build and maintain AI-powered QA frameworks that automate test design, test execution, and validation workflows using LLM-assisted tools and modern automation stacks Develop automated test suites for functional, regression, integration, and performance testing across complex agent-based systems Use LLMs (such as GPT, Claude, and similar models) to accelerate test generation, bug analysis, and workflow validation Analyze defects and production incidents, identify root causes, and implement preventive testing strategies to reduce regressions Integrate automated testing pipelines into CI/CD workflows to ensure continuous quality validation Collaborate with engineering and product teams to define test strategies and ensure robust release validation Improve QA processes, expand test coverage, and enhance automation efficiency across evolving systems Requirements: The ideal candidate is a hands-on QA engineer with strong automation expertise and proven experience using AI tools in real testing workflows. 3+ years of QA experience, including at least 2+ years in test automation roles Proven hands-on experience using LLMs (GPT, Claude, Llama, or similar) in QA workflows and automation pipelines Strong programming skills in Python with expertise in PyTest and test automation frameworks Solid understanding of REST APIs, client-server architecture, and web service testing Experience working with SQL databases such as PostgreSQL or ClickHouse Familiarity with CI/CD pipelines and automated testing integration Strong analytical thinking and ability to work independently on complex systems and logic Ability to work aligned with EST time zone requirements Benefits: Competitive compensation package aligned with experience Remote-first work environment 20 paid time off days plus U.S. holidays Access to a modern AI-driven technology stack High degree of autonomy and freedom to experiment with new tools and approaches Professional development and learning reimbursement support Fast-paced startup culture with strong engineering collaboration ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "AI-native QA Engineer. Skills: AI-powered QA systems, LLM-assisted tools, Test automation frameworks. Design AI-powered QA systems. Evolve AI-powered QA systems", "postedDate" : "2026-06-12T13:41:18.764", "createdAt" : "2026-06-12T13:41:18.764", "lastUpdated" : "2026-06-16T00:18:11.589", "ingestTimestamp" : "2026-06-14T22:11:34.749", "mongoId" : "6a2cb20674d8ee00a09dee50", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Automation coverage", "Defect detection", "Release confidence", "Test design automation", "Test execution automation", "Validation workflow automation", "Functional testing", "Regression testing", "Integration testing", "Performance testing", "Agent-based systems testing", "Test generation", "Bug analysis", "CI/CD integration", "QA process improvement", "Test coverage expansion", "Automation efficiency", "AI-powered QA systems", "LLM-assisted tools", "Test automation frameworks", "Test automation", "Workflow validation", "Root cause analysis", "Preventive testing", "AI-driven products", "Agent-based systems", "Client-server architecture", "Web service testing", "GPT", "Claude", "Llama" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 948.3963, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cf074d8ee00a091c5ad", "title" : "QA Engineer", "company" : "accessiBe", "location" : "HaMelacha St 3, Tel Aviv-Yafo, 1st floor", "locations" : [ "HaMelacha St 3", "Tel Aviv-Yafo", "1st floor" ], "certifications" : [ ], "timestamp" : "2026-06-15T10:21:43.593", "fingerprint" : "0112237ab4ae2607f99c9726889f33fb65ab64a9d54c50429cd8bc0385479c2a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/accessibe/jobs/4781230101", "externalId" : "4781230101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv-Yafo", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Tel Aviv-Yafo, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Node.js, Python, WCAG", "professionalSkills" : [ "Web Accessibility (WCAG)" ], "hardSkillsList" : [ "Playwright", "WCAG" ], "softSkillsList" : [ "collaboration" ], "hardSkills" : [ { "name" : "Playwright", "level" : "intermediate" }, { "name" : "WCAG", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration" } ], "majorSkills" : "Playwright, Node.js, WCAG, automation frameworks, system design", "majorSkillsList" : [ "Playwright, Node.js, WCAG, automation frameworks, system design" ], "coreResponsibilities" : "Design, implement, and own complex automation tests spanning engine logic and backend services. Own the manual validation of features across multiple services: identify edge cases, manage test dependencies, and provide clear \"Go/No-Go\" signals. Proactively identify technical and delivery risks, articulating the trade-offs between speed of delivery and test coverage. Act as a key player in diagnosing complex production incidents and ensuring that \"post-mortem\" tests are added to prevent regressions.", "teamCollaboration" : "Partner closely with Product and Developers to define \"Definition of Done, \" unblock delivery, and ensure shared ownership of the product quality.", "toolProficiency" : [ "Playwright, GCP" ], "communicationSkills" : "articulating trade-offs", "continuousLearning" : "Ability to pivot testing strategies as the product evolves and independently learn new testing frameworks or technologies.", "problemSolvingSkills" : "system design; debugging; diagnosing production incidents", "specialRequirements" : "Advocacy for and experience in testing Web Accessibility (WCAG) and responsive design.", "qualificationsBasic" : "Deep experience in the full testing pyramid, with a focus on Playwright for E2E and manual techniques for edge-case discovery and UI/UX validation. Proven track record as a QA Engineer in an Agile environment. Thorough understanding of the Document Object Model (DOM), browser rendering pipelines, and how they impact UI test stability and performance. Deep understanding of testing levels, performance testing, and security-focused testing practices. Experience with cloud infrastructure and testing environments within GCP.", "qualificationsPreferred" : "Familiarity with LangChain or LlamaIndex, LLM orchestration tools and frameworks. Experience with Python.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "accessiBe is the market leader in web accessibility that makes websites accessible to people with disabilities. accessiBe is more than a workplace, it’s a passion. Each day you’re surrounded by people who share the same goal and values, who work endlessly to break down accessibility barriers. We care about all people, regardless of their ability. We hire people that are determined to succeed and who are not afraid of rapid change. Our core values showcase who we are and we strive to focus on excellence and sincerity. We are seeking a highly technical QA Engineer to join our engine engineering group. In this role, you will be the guardian of quality for our core platform capabilities. You will be responsible for designing and implementing robust automation frameworks, ensuring the architectural integrity of our testing suites, and validating complex features across both client-side and server-side systems. You will work in a fast-moving environment where quality is a shared responsibility, but you provide the strategy and tools to make it possible. Want to make a real impact? Click here and find out how! Click here to learn more about accessiBe's #companyculture What Will You Do: Take part in the QA effort within your squad, fostering a culture where quality is integrated into the development lifecycle from day one. Design, implement, and own complex automation tests spanning engine logic and backend services. Own the manual validation of features across multiple services: identify edge cases, manage test dependencies, and provide clear \"Go/No-Go\" signals. Proactively identify technical and delivery risks, articulating the trade-offs between speed of delivery and test coverage. Act as a key player in diagnosing complex production incidents and ensuring that \"post-mortem\" tests are added to prevent regressions. Collaboration: Partner closely with Product and Developers to define \"Definition of Done,\" unblock delivery, and ensure shared ownership of the product quality. Strong expertise in the team’s core stack (Node.js) to build and execute automated test suites (API, Integration, E2E). Expert-level proficiency in Playwright for cross-browser E2E testing. Ability to navigate and interact with the DOM efficiently for frontend testing, utilizing event delegation and understanding browser rendering to build stable UI tests. Proactively identifies and implements improvements to testing pipelines, deployment gates, and internal QA tooling. Ability to pivot testing strategies as the product evolves and independently learn new testing frameworks or technologies. Requirements: Deep experience in the full testing pyramid, with a focus on Playwright for E2E and manual techniques for edge-case discovery and UI/UX validation. Proven track record as a QA Engineer in an Agile environment. Thorough understanding of the Document Object Model (DOM), browser rendering pipelines, and how they impact UI test stability and performance. Deep understanding of testing levels, performance testing, and security-focused testing practices. Experience with cloud infrastructure and testing environments within GCP - advantage Strong advocacy for and experience in testing Web Accessibility (WCAG) and responsive design - advantage Advantages Familiarity with LangChain or LlamaIndex, LLM orchestration tools and frameworks Experience with Python. Equal opportunities At accessiBe, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. accessiBe is proud and committed to providing equal opportunity employment to all individuals regardless of disability, race, color, religion, sex, sexual orientation, citizenship, national origin, veteran status, pregnancy or any other characteristic protected by law. In addition, accessiBe will provide accommodation to individuals with disabilities or a special need. Please don't hesitate to share your needs when applying so that we can provide the necessary accommodations for an accessible and inclusive recruitment process.", "summaryDescription" : "QA Engineer at accessiBe. Skills: Playwright, Node.js, WCAG, automation frameworks, system design. Design, implement, and own complex automation tests spanning engine logic and backend services. Own the manual validation of features across multiple services: identify edge cases, manage test dependencies, and provide clear \"Go/No-Go\" signals. Proactively identify technical and delivery risks, articulating the trade-offs between speed of delivery and test coverage. Act as a key player in diagnosin", "postedDate" : "2026-06-14T19:09:00.893", "createdAt" : "2026-06-14T19:09:00.893", "lastUpdated" : "2026-06-15T10:21:43.593", "ingestTimestamp" : "2026-06-14T19:09:00.893", "mongoId" : "6a2c6cf074d8ee00a091c5ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Playwright", "WCAG", "collaboration", "Playwright, Node.js, WCAG, automation frameworks, system design", "Web Accessibility (WCAG)", "Playwright, GCP" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 945.29803, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3052c9f292fd229cf0fd8d", "title" : "Data QA Engineer", "company" : "Arch Global Services", "industry" : "Insurance", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data QA Engineer in Bonifacio Global City, Philippines, adjusted for the insurance industry and full-time onsite role at Arch Global Services." }, "location" : "Bonifacio Global City, PH", "locations" : [ "Bonifacio Global City", "PH" ], "timestamp" : "2026-06-16T06:31:41.836", "fingerprint" : "bae3d32a60ad1dc31aec7bf24a48bd4615be4d1c84c45c0622df0f5020c1963f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ArchGlobalServicesPhilippinesInc/744000132182638-data-qa-engineer", "externalId" : "744000132182638", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bonifacio Global City", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5494477,121.0545952" } ], "locationText" : "Bonifacio Global City, Philippines", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Excel", "hardSkillsList" : [ "Data profiling", "Data analysis", "Root cause analysis" ], "hardSkills" : [ { "name" : "Data profiling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Master Data Management, Data quality", "majorSkillsList" : [ "Master Data Management", "Data quality" ], "coreResponsibilities" : "Triage MDM queries, Investigate MDM issues, Resolve incoming issues and requests, Own cases end-to-end, Plan and run cleansing sprints, Track cleansing progress and outcomes, Execute stewardship workflows, Perform match/merge, Maintain golden records, Govern reference data, Review data quality dashboards/scorecards, Spot data quality patterns, Raise prevention actions, Support validation of data model changes, Support validation of rule changes, Support cutover tasks, Maintain how-to guides, Maintain FAQs, Maintain known-issue playbooks", "teamCollaboration" : "Work with GSO operations teams; Work with Onshore operations teams; Stakeholder comms; Work with current Operations teams", "domainKnowledge" : "Master Data Management; Customer data; Party data; Reference data", "domainList" : [ "master-data-management", "customer-data", "party-data", "reference-data" ], "domainSpecificKnowledge" : [ "Master Data Management", "Customer data", "Party data", "Reference data" ], "toolProficiency" : [ "ServiceNow", "Jira", "Stibo STEP" ], "communicationSkills" : "Explain data issues", "documentationSkills" : "Documenting repeatable fixes; Maintain how-to guides; Maintain FAQs; Maintain known-issue playbooks", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Keep master data accurate; Keep master data complete; Keep master data trusted; Resolve MDM queries fast; Prevent repeat issues; Drive continuous data quality improvement", "qualificationsBasic" : "MDM or data operations experience (2–5 years), Data profiling and analysis, Comfortable with Excel/SQL, Able to read a data model, Pinpoint root causes, Experience with ticketing, Documenting repeatable fixes, Clear, concise communicator, Explain data issues to business and technical audiences, BS in Computer Science, Information Technology degree or equivalent", "qualificationsPreferred" : "MDM or data operations experience (2–5 years), Data profiling and analysis, Comfortable with Excel/SQL, Able to read a data model, Pinpoint root causes, Experience with ticketing, Documenting repeatable fixes, Clear, concise communicator, Explain data issues to business and technical audiences", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership. Arch Insurance International is a fast-growing insurance company which provides underwriting solutions across a diverse and growing portfolio of over 20 business classes, spanning multiple platforms in the London company market, the Lloyd’s market, the UK regional markets, and markets in Australia, Bermuda, and the EU. Over the past 3 years we have increased our gross written premium from $783m to $2bn and the growth trajectory is planned to continue. Recently we were named the Top Large Insurance Employer in the Insurance Business UK Survey. With this growth and our long-term ambitions, we are investing significantly within data, and recently setup the Chief Data Office. * Keep our Party, Risk, and Reference master data accurate, complete, and trusted so downstream processes and analytics work first time. * Resolve MDM (Master Data Management) queries fast , prevent repeat issues, and drive continuous data quality improvement in Stibo STEP. Responsibilities: * Front‑door for MDM (Master Data Management) queries Triage, investigate, and work with current GSO and Onshore operations teams to resolve incoming issues and requests (e.g., suspected duplicates, attribute corrections, reference data updates), escalating only when needed. Own cases end‑to‑end, including stakeholder comms and closure notes. * Data cleansing projects Work with current Operations teams in GSO and Onshore to plan and run targeted cleansing sprints for Party, Risk, and Reference domains (deduplication, standardisation, survivorship fixes, enrichment). Track progress and outcomes. * Operate Stibo STEP Execute stewardship workflows, match/merge, golden‑record maintenance, and reference-data governance. * Data quality monitoring Review dashboards/scorecards, spot patterns, and raise prevention actions (new rules, validations, or process tweaks). * Release & change support Support the validation of data model or rule changes in lower environments; support UAT and cutover tasks affecting master data. * Documentation & knowledge Maintain “how‑to” guides, FAQs, and known‑issue playbooks for common MDM requests. ## Qualifications Required Skills: * Hands‑on MDM (Master Data Management) or data operations experience (2–5 years), ideally in customer/party and reference data domains. * Data profiling and analysis skills; comfortable with Excel/SQL basics; able to read a data model and pinpoint root causes. * Experience with ticketing (e.g., ServiceNow/Jira) and documenting repeatable fixes. * Clear, concise communicator who can explain data issues to both business and technical audiences. Desired Skills: * Hands‑on MDM (Master Data Management) or data operations experience (2–5 years), ideally in customer/party and reference data domains. * Data profiling and analysis skills; comfortable with Excel/SQL basics; able to read a data model and pinpoint root causes. * Experience with ticketing (e.g., ServiceNow/Jira) and documenting repeatable fixes. * Clear, concise communicator who can explain data issues to both business and technical audiences. ## Additional Information * BS in Computer Science, Information Technology degree or equivalent.", "summaryDescription" : "Data QA Engineer at Arch Global Services. Skills: Master Data Management, Data quality. Triage MDM queries. Investigate MDM issues", "postedDate" : "2026-06-15T11:52:57.000", "createdAt" : "2026-06-15T21:53:13.296", "lastUpdated" : "2026-06-16T06:31:41.836", "ingestTimestamp" : "2026-06-15T21:53:13.296", "mongoId" : "6a3052c9f292fd229cf0fd8d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data profiling", "Data analysis", "Root cause analysis", "Master Data Management", "Data quality", "Customer data", "Party data", "Reference data", "ServiceNow", "Jira", "Stibo STEP" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 937.5894, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f27f292fd229cee5b10", "title" : "Data QA Engineer", "company" : "Arch Global Services", "industry" : "Insurance", "salary" : { "min" : 1000000.0, "max" : 1500000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data QA Engineer in Bonifacio Global City, Philippines, adjusted for the insurance industry and company size." }, "location" : "Bonifacio Global City, PH", "locations" : [ "Bonifacio Global City", "PH" ], "timestamp" : "2026-06-16T07:15:12.801", "fingerprint" : "6e727aa3d2f267308eb66c2d6ad7d4ba43265122c4a1bbde215b359754dc72bc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ArchGlobalServicesPhilippinesInc/744000132182638-data-qa-engineer", "externalId" : "744000132182638", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bonifacio Global City", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5494477,121.0545952" } ], "locationText" : "Bonifacio Global City, Philippines", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Excel", "professionalSkills" : [ "Data operations", "Data quality improvement", "Data cleansing", "Data governance", "Root cause analysis" ], "hardSkillsList" : [ "Data profiling", "Data analysis" ], "hardSkills" : [ { "name" : "Data profiling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Master Data Management, Data quality", "majorSkillsList" : [ "Master Data Management", "Data quality" ], "coreResponsibilities" : "Triage MDM queries, Investigate MDM issues, Resolve incoming issues and requests, Own cases end-to-end, Manage stakeholder comms, Write closure notes, Plan data cleansing sprints, Run data cleansing sprints, Track cleansing progress, Track cleansing outcomes, Execute stewardship workflows, Perform match/merge, Maintain golden records, Perform reference-data governance, Review dashboards/scorecards, Spot data quality patterns, Raise prevention actions, Support validation of data model changes, Support validation of rule changes, Support UAT tasks, Support cutover tasks, Maintain how-to guides, Maintain FAQs, Maintain known-issue playbooks", "teamCollaboration" : "GSO operations teams; Onshore operations teams", "domainKnowledge" : "Master Data Management; Customer data; Party data; Reference data", "domainList" : [ "master-data-management", "customer-data", "party-data", "reference-data" ], "domainSpecificKnowledge" : [ "Master Data Management", "Customer data", "Party data", "Reference data" ], "toolProficiency" : [ "Stibo STEP", "ServiceNow", "Jira", "Excel", "SQL" ], "communicationSkills" : "Stakeholder comms; Business communication; Technical communication", "documentationSkills" : "Documenting fixes; Maintain guides; Maintain FAQs; Maintain playbooks", "problemSolvingSkills" : "Root cause analysis; Pinpoint root causes", "outcomesObjectives" : "Keep master data accurate; Keep master data complete; Keep master data trusted; Resolve MDM queries fast; Prevent repeat issues; Drive continuous data quality improvement", "qualificationsBasic" : "2–5 years MDM or data operations experience, Comfortable with Excel/SQL, Able to read a data model, Able to pinpoint root causes, Experience with ticketing, Documenting repeatable fixes, Clear, concise communicator, Explain data issues to business and technical audiences, BS in Computer Science, Information Technology degree or equivalent", "qualificationsPreferred" : "2–5 years MDM or data operations experience, Ideally in customer/party and reference data domains, Data profiling and analysis, Experience with ServiceNow/Jira, Documenting repeatable fixes, Clear, concise communicator, Explain data issues to business and technical audiences", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership. Arch Insurance International is a fast-growing insurance company which provides underwriting solutions across a diverse and growing portfolio of over 20 business classes, spanning multiple platforms in the London company market, the Lloyd’s market, the UK regional markets, and markets in Australia, Bermuda, and the EU. Over the past 3 years we have increased our gross written premium from $783m to $2bn and the growth trajectory is planned to continue. Recently we were named the Top Large Insurance Employer in the Insurance Business UK Survey. With this growth and our long-term ambitions, we are investing significantly within data, and recently setup the Chief Data Office. * Keep our Party, Risk, and Reference master data accurate, complete, and trusted so downstream processes and analytics work first time. * Resolve MDM (Master Data Management) queries fast , prevent repeat issues, and drive continuous data quality improvement in Stibo STEP. Responsibilities: * Front‑door for MDM (Master Data Management) queries Triage, investigate, and work with current GSO and Onshore operations teams to resolve incoming issues and requests (e.g., suspected duplicates, attribute corrections, reference data updates), escalating only when needed. Own cases end‑to‑end, including stakeholder comms and closure notes. * Data cleansing projects Work with current Operations teams in GSO and Onshore to plan and run targeted cleansing sprints for Party, Risk, and Reference domains (deduplication, standardisation, survivorship fixes, enrichment). Track progress and outcomes. * Operate Stibo STEP Execute stewardship workflows, match/merge, golden‑record maintenance, and reference-data governance. * Data quality monitoring Review dashboards/scorecards, spot patterns, and raise prevention actions (new rules, validations, or process tweaks). * Release & change support Support the validation of data model or rule changes in lower environments; support UAT and cutover tasks affecting master data. * Documentation & knowledge Maintain “how‑to” guides, FAQs, and known‑issue playbooks for common MDM requests. ## Qualifications Required Skills: * Hands‑on MDM (Master Data Management) or data operations experience (2–5 years), ideally in customer/party and reference data domains. * Data profiling and analysis skills; comfortable with Excel/SQL basics; able to read a data model and pinpoint root causes. * Experience with ticketing (e.g., ServiceNow/Jira) and documenting repeatable fixes. * Clear, concise communicator who can explain data issues to both business and technical audiences. Desired Skills: * Hands‑on MDM (Master Data Management) or data operations experience (2–5 years), ideally in customer/party and reference data domains. * Data profiling and analysis skills; comfortable with Excel/SQL basics; able to read a data model and pinpoint root causes. * Experience with ticketing (e.g., ServiceNow/Jira) and documenting repeatable fixes. * Clear, concise communicator who can explain data issues to both business and technical audiences. ## Additional Information * BS in Computer Science, Information Technology degree or equivalent.", "summaryDescription" : "Data QA Engineer at Arch Global Services. Skills: Master Data Management, Data quality. Triage MDM queries. Investigate MDM issues", "postedDate" : "2026-06-15T11:52:57.000", "createdAt" : "2026-06-15T21:31:36.825", "lastUpdated" : "2026-06-16T07:15:12.801", "ingestTimestamp" : "2026-06-15T21:31:36.825", "mongoId" : "6a304f27f292fd229cee5b10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data profiling", "Data analysis", "Master Data Management", "Data quality", "Data operations", "Data quality improvement", "Data cleansing", "Data governance", "Root cause analysis", "Customer data", "Party data", "Reference data", "Stibo STEP", "ServiceNow", "Jira", "Excel", "SQL" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 937.5894, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94c474d8ee00a098b844", "title" : "QA Automation Engineer - V/V2", "company" : "OpenNet", "industry" : "Technology", "salary" : { "min" : 1100000.0, "max" : 1700000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level QA Automation Engineer in Taiwan's Technology industry, adjusted for city tier and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T09:40:56.177", "fingerprint" : "bfe25cfe0165f27089ce1c931665edd59c8d4db1221ba1acb21122a817c5ede1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/opennet/jobs/4873470101", "externalId" : "4873470101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "coreResponsibilities" : "Develop automated tests, Develop test frameworks, Improve Continuous Integration pipeline, Identify opportunities to improve quality processes, Establish quality processes, Automate software engineering process, Review designs, Review code, Provide constructive feedback, Continuously develop skills, Help others improve abilities", "continuousLearning" : "Continuously develop skills; Help others improve abilities", "rawDescription" : "What you'll be doing Develop automated tests and test frameworks Improve our Continuous Integration pipeline Identify and execute on opportunities to improve or establish quality processes Help automate all aspects of the software engineering process Review designs and code done by others and provide constructive feedback Continuously develop your own skills and help others to improve their abilities", "summaryDescription" : "QA Automation Engineer - V/V2 at OpenNet. Develop automated tests. Develop test frameworks", "postedDate" : "2026-06-14T03:22:32.371", "createdAt" : "2026-06-14T03:22:32.371", "lastUpdated" : "2026-06-15T09:40:56.177", "ingestTimestamp" : "2026-06-14T03:22:32.371", "mongoId" : "6a2c94c474d8ee00a098b844", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 923.3122, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a470974d8ee00a05d7b3a", "title" : "QA Automation Engineer", "company" : "Slingshot Aerospace", "industry" : "Aerospace", "salary" : { "min" : 105000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote, United States", "locations" : [ "Remote", "United States" ], "timestamp" : "2026-06-14T21:53:55.192", "fingerprint" : "e36bb5c2eb045c16d9fc8346747c52054010bb65720f1b3047a3139c26143007", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/slingshotaerospace/jobs/6016469004?gh_jid=6016469004", "externalId" : "6016469004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "technicalSkills" : "Playwright, Cypress, Selenium, React, Node.js, Python, TypeScript, Docker, REST, GraphQL, SQL", "professionalSkills" : [ "Quality strategy", "Release management", "Product development", "AI-driven analytics", "Software engineering", "Data science" ], "hardSkillsList" : [ "Automated testing", "API testing", "Integration testing", "Backend validation", "Performance testing", "Scalability testing", "Data integrity verification", "System interoperability verification", "Reliability verification" ], "hardSkills" : [ { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Integration testing", "level" : "intermediate" }, { "name" : "Backend validation", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Scalability testing", "level" : "intermediate" }, { "name" : "Data integrity verification", "level" : "intermediate" }, { "name" : "System interoperability verification", "level" : "intermediate" }, { "name" : "Reliability verification", "level" : "intermediate" } ], "majorSkills" : "QA Automation, Test automation, CI/CD integration, Quality engineering", "majorSkillsList" : [ "QA Automation", "Test automation", "CI/CD integration", "Quality engineering" ], "coreResponsibilities" : "Design automated testing solutions, Develop automated testing solutions, Maintain automated testing solutions, Expand automated test coverage, Integrate automated testing CI/CD, Create test plans, Maintain test plans, Create quality processes, Maintain quality processes, Review requirements, Review acceptance criteria, Review user stories, Validate front-end functionality, Validate back-end functionality, Validate AI-enabled functionality, Identify defects, Document defects, Track defects, Assess production readiness, Validate release quality, Develop backend validation testing, Execute backend validation testing, Verify data integrity, Verify system interoperability, Verify reliability, Design performance testing scenarios, Execute performance testing scenarios, Troubleshoot API issues, Troubleshoot database issues, Troubleshoot distributed system issues, Support production releases, Coordinate testing, Communicate with stakeholders, Deliver demonstrations, Provide feedback, Analyze quality trends, Recommend testing improvements, Introduce new tools, Introduce new frameworks, Introduce best practices", "teamCollaboration" : "Partner with developers; Collaborate with Product Managers; Collaborate with Designers; Collaborate with Engineers; Collaborate with AI/Data Science teams; Collaborate across teams", "projectManagementSkills" : [ "Release management" ], "domainKnowledge" : "Space operations; Global security; Disaster response; Climate monitoring; Critical infrastructure; AI-driven analytics; Identity and access management; Authentication; Authorization", "domainList" : [ "space-operations", "global-security", "disaster-response", "climate-monitoring", "critical-infrastructure", "ai-driven-analytics", "identity-and-access-management", "authentication", "authorization" ], "domainSpecificKnowledge" : [ "Space operations", "Global security", "Disaster response", "Climate monitoring", "Critical infrastructure", "AI-driven analytics", "Identity and access management", "Authentication", "Authorization" ], "toolProficiency" : [ "Playwright", "Cypress", "Selenium", "TestRail" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Document defects; Document manual test cases", "problemSolvingSkills" : "Analytical skills; Troubleshooting skills; Problem-solving skills", "specialRequirements" : "Active TS/SCI clearance", "qualificationsBasic" : "3+ years QA experience, Design automated testing strategies, Implement automated testing frameworks, Proficiency UI automation tools, Testing modern web applications, Understanding APIs, Understanding backend services, Understanding databases, Experience CI/CD environments, Experience modern software development workflows, Analytical skills, Troubleshooting skills, Problem-solving skills, Communication skills, Collaborate effectively technical teams, Collaborate effectively non-technical teams", "qualificationsPreferred" : "Owning end-to-end quality certification, Testing AI-enabled products, Testing machine learning workflows, Testing data-driven applications, Performance testing frameworks, Load testing frameworks, Integration testing frameworks, API testing frameworks, Familiarity IAM concepts, Familiarity authentication concepts, Familiarity authorization concepts, Documenting manual test cases, Maintaining test repositories, Supporting release management activities, Interest in space technologies, Interest in aerospace technologies, Interest in defense technologies, Interest in national security technologies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Meet Slingshot At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere—whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place. What You'll Be Launching As a QA Automation Engineer, you'll help ensure the quality, reliability, and performance of the software that powers Slingshot's mission. You'll work at the intersection of software engineering, product development, and AI-driven analytics, partnering with teams across the organization to deliver exceptional user experiences and scalable solutions. This role goes beyond traditional testing. You'll help shape quality strategy, expand automation coverage, support release management, and collaborate closely with front-end engineers, back-end developers, and AI/Data Science teams. The ideal candidate is equally comfortable validating new functionality, building automation frameworks, and identifying opportunities to improve quality across the software development lifecycle. We're building a team of sharp, creative people who love solving hard problems. Bring your expertise, your perspective, and your drive—we'll bring the rocket fuel. Your Mission (Should You Choose to Accept It) Quality Engineering & Test Automation Design, develop, and maintain automated testing solutions across UI, API, integration, and end-to-end workflows. Continuously expand automated test coverage using tools such as Playwright, Cypress, or Selenium. Partner closely with developers to integrate automated testing into CI/CD pipelines and ensure quality is built into every release. Create and maintain test plans, test cases, and quality processes that support rapid product development. Product Quality & Validation Collaborate with Product Managers, Designers, and Engineers to review requirements, acceptance criteria, and user stories to ensure clear, testable outcomes. Validate front-end, back-end, and AI-enabled functionality across multiple products and platforms. Identify, document, and track defects through resolution using established quality assurance methodologies. Assess production readiness and validate release quality prior to deployment. Platform & Integration Testing Develop and execute API, integration, and backend validation testing using modern testing frameworks and tools. Verify data integrity, system interoperability, and reliability across connected services and external integrations. Design and execute performance and scalability testing scenarios to evaluate system responsiveness and stability. Troubleshoot issues related to APIs, databases, and distributed system interactions. Release Management & Continuous Improvement Support weekly production releases through testing coordination, validation, and stakeholder communication. Deliver demonstrations of completed functionality and provide feedback to development teams. Analyze quality trends and recommend improvements to testing strategies, tooling, and processes. Help shape the future of quality engineering at Slingshot by introducing new tools, frameworks, and best practices. Pre-Flight Checklist 3+ years of experience in Quality Assurance, Software Testing, or Quality Engineering. Experience designing and implementing automated testing strategies and frameworks. Proficiency with UI automation tools such as Playwright, Cypress, or Selenium. Experience testing modern web applications built with technologies such as React, Node.js, Python, TypeScript, and Docker. Strong understanding of APIs, backend services, and databases, including REST, GraphQL, and SQL. Experience working within CI/CD environments and modern software development workflows. Excellent analytical, troubleshooting, and problem-solving skills. Strong communication skills and ability to collaborate effectively across technical and non-technical teams. Bonus Cargo Experience owning end-to-end quality certification for major product releases. Experience testing AI-enabled products, machine learning workflows, or data-driven applications. Experience with performance, load, integration, and API testing frameworks. Familiarity with identity and access management (IAM), authentication, and authorization concepts. Experience documenting manual test cases and maintaining test repositories using tools such as TestRail. Experience supporting release management activities in fast-paced SaaS environments. Interest in space, aerospace, defense, or national security technologies. Active TS/SCI clearance. We're building a constellation here, not looking for identical satellites. Every member of the team brings different capabilities to the same mission. If your orbit intersects with ours and you're mission-ready, send it. Location: Remote, United States Compensation: $105,000-$160,000 US-based Candidates: we are currently only able to hire residents of the following U. S. states: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV We are unable to consider candidates residing in other U. S. states at this time. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time. Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.", "summaryDescription" : "QA Automation Engineer at Slingshot Aerospace. Skills: QA Automation, Test automation, CI/CD integration, Quality engineering. Design automated testing solutions. 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QA Automation Engineer