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Software Engineer in Test III - GenAI

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Onsite

Software Engineer in Test III - GenAI

Zealant Consulting Group

Software Engineer in Test III - GenAI

Skills

Google Cloud PlatformE-commerce WebsitesDockerTypescriptPythonTesting & QAMicroservicesGrafanaPlaywrightAIAWSPrometheusKubernetesJavascript

5 months ago

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Important information


Contract type:

Permanent

Location:

Orchha, Madhya Pradesh 472246, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


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

Skills: test automation framework,automation,eval,testing,rag,llm

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