HighLevel - Software Development Engineer in Test III

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