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Software Engineer in Test III - GenAI

Job Description - Software Engineer in Test III - GenAI

Responsibilities:



  • Validate complex system workflows across UI, API, and backend layers, ensuring correctness, reliability, and consistency of every release

  • Enhance and maintain the existing Playwright automation framework, expanding UI/API coverage and improving reliability, flakiness detection, and execution efficiency

  • Build internal QA tools, improve test data workflows, and contribute to CI/CD quality gates and overall pipeline readiness

  • Develop and maintain test infrastructure for containerized and distributed environments (Docker, Kubernetes)

  • Conduct performance, load, and scalability testing for high-traffic services using k6 or similar tools

  • Collaborate closely with engineering, product, LeadGen, Payments, and design teams to embed quality early in the lifecycle

  • Analyze failures across distributed systems using observability platforms (logs, metrics, dashboards) to identify root causes quickly

  • Advocate for shift-left quality and influence system design and architecture for better testability

  • Maintain accurate documentation and onboarding materials for frameworks, tooling, and best practices


Requirements:



  • 4+ years of experience in software testing or automation for SaaS, web applications, or distributed systems

  • Expertise in enhancing and maintaining automation frameworks (Playwright or equivalent)

  • Proficiency in TypeScript, JavaScript, or Python for scalable automation development

  • Hands-on experience with CI/CD pipelines and containerized infrastructure (Docker, Kubernetes)

  • Working knowledge of AWS or GCP environments

  • Deep understanding of RESTful API testing, backend validation, mocks/stubs, and integration testing

  • Experience with performance and load testing tools like k6, Locust, or JMeter

  • Familiarity with observability tools such as Grafana, Prometheus, ELK, or OpenTelemetry

  • Strong debugging skills, especially in distributed and microservices-based architectures

  • E-Commerce domain experience (preferred but optional)

  • Basic knowledge of AI-driven testing techniques or LLM-based test generation

  • Excellent communication, documentation, and problem-solving abilities


Nice to Have:



  • Experience validating E-Commerce flows such as checkout, order lifecycle, payments, taxes, pricing rules, and inventory synchronisation

  • Experience analysing and testing AI/LLM-powered features, including prompt validation, hallucination detection, model consistency checks, and AI-assisted testing workflows

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