Lead Test Automation Expert
1 semana atrás
About the Role Diib is a company based out of Salt Lake City, Utah. Diib's mission is to make internet marketing clearer for individuals who don't know anything about it. Diib helps small and medium businesses to find new ways to grow with Actionable Analytics, Industry-Based Ranking, and Custom Learning Tracks. 250k websites use Diib. We are looking for a Senior QA Automation Engineer who is passionate about delivering high-quality software, ensuring robust system performance, and driving automation best practices. In this role, you will take ownership of end-to-end testing strategies, leveraging Python for comprehensive test automation across functional, non-functional, and white-box testing. You will also play a key role in maintaining monitoring systems to proactively identify issues in production environments. Key Responsibilities: Design, develop, and maintain robust, scalable end-to-end (E2E) tests using Python, Playwright, and Pytest for both UI and API validation. Integrate automated tests into the CI/CD pipeline (e.g., Jenkins, GitLab CI, GitHub Actions) to support continuous delivery and provide fast feedback. Implement and manage test data and environments to ensure reliable and repeatable test execution. Test Planning & Strategy Design, document, and maintain comprehensive test plans and test cases. Collaborate with product and engineering teams to define quality benchmarks and ensure test coverage for all requirements. Functional and Non-Functional Testing Execute detailed automated and manual tests across multiple platforms and devices to validate functionality, usability, and performance. Ensure that systems meet reliability, scalability, and availability expectations, especially in cloud environments (AWS, Azure, or GCP). White-box Testing Work closely with developers to understand internal logic and architecture, enabling more effective code-level testing. Utilize Python scripts to facilitate unit, integration, and service-level testing beyond traditional black-box methods. Monitoring System Configuration Manage application and infrastructure monitoring tools. Establish alerts and dashboards to support proactive issue resolution and maintain uptime. Qualifications: 5+ years of experience in Quality Assurance or Software Testing. 3+ years of proficiency in Python for test automation, scripting, and framework development. Demonstrable experience with modern testing frameworks/tools like Playwright and Pytest for effective and reliable E2E and API testing. Proven experience working with and testing applications deployed in a Cloud Environment (AWS, Azure, or GCP). Solid experience setting up and maintaining test execution within CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions). Strong knowledge of QA methodologies, tools, and processes. Good knowledge of SQL is a must. Familiarity with modern monitoring platforms (e.g., Prometheus, Grafana, Kibana, Datadog, or similar). Excellent analytical, debugging, and problem-solving skills. Bonus Qualifications: Proficiency in performance and security testing tools (e.g., JMeter, OWASP ZAP, Burp Suite). Experience in testing data pipelines or data warehouse solutions, particularly Amazon Redshift. Familiarity with testing applications built on AI/ML platforms, such as AWS Bedrock (e.g., prompt validation, knowledge base testing, or guardrail evaluation). What We Offer A collaborative and innovative work environment. Flexible PTO for any reason, including sick days. A personal laptop. A health and wellness package. A budget for English lessons.
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