Software Development Engineer in Test III - Lead Gen

5+ years in software testing or automation for web applications, SaaS platforms, or large-scale systems Proven expertise in designing and maintaining test automation frameworks (Playwright, Cypress, Selenium, etc.) Strong in TypeScript, JavaScript, or Python — capable of writing scalable, maintainable automation code Hands-on experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab) and containerized environments (Docker, Kubernetes) Working knowledge of GCP or AWS for test infrastructure and environment setup Deep understanding of RESTful APIs, request validation, and integration testing Experience with tools like k6, Locust, or JMeter for load and scalability validation Familiarity with test reporting dashboards, metrics tracking, and alerting (Grafana, Prometheus, Slack integrations) Strong ability to diagnose failures in distributed systems and identify root causes quickly Solid understanding of system design, micro-services, databases, and data flow across layers Exposure to AI-assisted testing or LLM-based test generation is a plus Excellent communication, documentation, and collaboration skills with a cross-functional mindset Ownership-driven, curious about platform scalability, and passionate about building tools that enable others to test better

Own and evolve the test automation platform, ensuring scalability, reliability, and ease of use Design and maintain robust automation frameworks across UI, API, and backend layers Build and enhance internal QA tools that improve test efficiency Drive adoption of automation best practices, coding standards, and efficient test design Implement and maintain test observability systems for reporting, analytics, and defect insights Conduct performance, load, and scalability testing for key features and services Develop and maintain test infrastructure, supporting containerized and distributed environments Collaborate closely with developers, QA, and DevOps to embed quality throughout the delivery pipeline Improve test reliability and flakiness detection through intelligent retry and failure analysis systems Contribute to continuous improvement of tooling, test data management, and CI/CD quality gates Research and implement emerging technologies (AI/ML, LLMs, smart test generation, etc.) to advance test automation capabilities Advocate for shift-left quality, influencing design and architecture discussions for better testability Maintain clear documentation and onboarding materials for test frameworks and platform usage