
10 000+ employés
🏥 Santé
🛡️ Assurance
📦 Logistique
💰 €2 000 000 Venture Round en 2015-01
Healthcare • Insurance • Logistics
Choisir un partenaire digital ne concerne pas seulement les capacités — c’est également une question de collaboration et de caractère.
🕒 il y a 1 mois
🇺🇸 États-Unis – Télétravail
💵 $73 000 - $110 000 / an
⏰ Temps Plein
🟠 Senior
🧐 Analyste
👻 Score fantôme 8%
🗣️🇺🇸🇬🇧 Anglais requis
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

10 000+ employés
🏥 Santé
🛡️ Assurance
📦 Logistique
💰 €2 000 000 Venture Round en 2015-01
Healthcare • Insurance • Logistics
Choisir un partenaire digital ne concerne pas seulement les capacités — c’est également une question de collaboration et de caractère.
• Partner with Product, Engineering, Operations, and Business teams to gain deep understanding of product workflows, business rules, integrations, and risk areas. • Design and implement AI-enabled QA solutions that help identify, predict, and prevent defects early in the SDLC. • Embed AI capabilities into the product and QA ecosystem to improve monitoring, validation, anomaly detection, regression analysis, and quality insights. • Leverage AI tools and frameworks for: • - Intelligent test case generation • - Automated test script creation and maintenance • - Defect prediction and root cause analysis • - Test optimization and prioritization • - Requirement-to-test traceability • - Regression impact analysis • - Automated validation and data quality checks • Build and enhance automated testing frameworks for UI, API, database, and batch processing systems. • Drive shift-left quality practices and integrate AI-enabled testing into CI/CD pipelines. • Analyze production trends, defect leakage, audit findings, and operational data to recommend preventive quality controls. • Collaborate with development teams to implement proactive quality gates and self-healing automation solutions. • Evaluate emerging AI technologies, tools, and accelerators for adoption within QA and engineering processes. • Create dashboards, reporting, and metrics demonstrating QA efficiency gains, defect reduction, automation coverage, and AI-driven improvements. • Mentor QA team members on AI-assisted testing approaches and modern quality engineering practices.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. • 5+ years of experience in QA, Quality Engineering, or Test Automation roles. • Hands-on experience implementing AI/ML-enabled solutions within QA or SDLC processes. • Strong understanding of software testing methodologies, SDLC, STLC, Agile, and DevOps practices. • Experience with test automation tools/frameworks such as Selenium, Playwright, Cypress, UFT, or similar. • Strong experience with API testing, database validation, and backend testing. • Experience using AI-assisted development/testing tools such as GitHub Copilot, OpenAI APIs, Azure AI, LangChain, Testim, Mabl, Functionize, or similar platforms. • Proficiency in at least one programming/scripting language such as Python, Java, JavaScript, or C#. • Experience integrating automated testing into CI/CD pipelines using tools like Azure DevOps, Jenkins, GitHub Actions, or similar. • Strong analytical, problem-solving, and communication skills.
• Please visit https://www.exlservice.com/us-careers-and-benefits for more information on benefits and what we offer
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