Source description
About the role
Responsibilities
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Own and evolve the test automation platform, ensuring scalability, reliability, and ease of use
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Design and maintain robust automation frameworks across UI, API, and backend layers
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Build and enhance internal QA tools that improve test efficiency
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Drive adoption of automation best practices, coding standards, and efficient test design
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Implement and maintain test observability systems for reporting, analytics, and defect insights
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Conduct performance, load, and scalability testing for key features and services
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Develop and maintain test infrastructure, supporting containerized and distributed environments
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Collaborate closely with developers, QA, and DevOps to embed quality throughout the delivery pipeline
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Improve test reliability and flakiness detection through intelligent retry and failure analysis systems
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Contribute to continuous improvement of tooling, test data management, and CI/CD quality gates
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Research and implement emerging technologies (AI/ML, LLMs, smart test generation, etc.) to advance test automation capabilities
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Advocate for shift-left quality, influencing design and architecture discussions for better testability
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Maintain clear documentation and onboarding materials for test frameworks and platform usage
Requirements
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Experience: 5+ years in software testing or automation for web applications, SaaS platforms, or large-scale systems
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Technical Depth: Proven expertise in designing and maintaining test automation frameworks (Playwright, Cypress, Selenium, etc.)
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Programming Skills: Strong in TypeScript, JavaScript, or Python — capable of writing scalable, maintainable automation code
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Infrastructure Knowledge: Hands-on experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab) and containerized environments (Docker, Kubernetes)
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Cloud Proficiency: Working knowledge of GCP or AWS for test infrastructure and environment setup
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API & Backend Testing: Deep understanding of RESTful APIs, request validation, and integration testing
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Performance Testing: Experience with tools like k6, Locust, or JMeter for load and scalability validation
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Observability & Reporting: Familiarity with test reporting dashboards, metrics tracking, and alerting (Grafana, Prometheus, Slack integrations)
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Debugging Skills: Strong ability to diagnose failures in distributed systems and identify root causes quickly
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Architecture Awareness: Solid understanding of system design, micro-services, databases, and data flow across layers
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AI/ML Awareness (Preferred): Exposure to AI-assisted testing or LLM-based test generation is a plus
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Soft Skills: Excellent communication, documentation, and collaboration skills with a cross-functional mindset
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Mindset: Ownership-driven, curious about platform scalability, and passionate about building tools that enable others to test better
More at Zealant Consulting Group