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About the role
Design, develop, and maintain scalable automated testing frameworks for APIs, microservices, and web integrations Perform deep-dive testing of the Connect platform, with a strong focus on asynchronous workflows, data consistency, resiliency, and latency Own and evolve quality gates within the CI/CD pipeline, ensuring fast, actionable feedback on every pull request Plan and execute functional, regression, and end-to-end test coverage across UI, API, and database layers Build internal tools and utilities to help reproduce, debug, and isolate complex production issues Set up, execute, and continuously improve automated test suites; derive meaningful quality KPIs and clearly communicate results Provide detailed failure analysis to enable rapid diagnosis and resolution of product or test defects Design and execute load, stress, and performance tests across services and critical user workflows Participate actively in architecture and design reviews, advocating for testability and appropriate test hooks Define and execute comprehensive test strategies aligned with product and platform goals Write clean, reliable, and maintainable code, solving complex problems with scalable solutions Mentor junior and mid-level engineers, while staying current on modern testing and software development best practices What Youll Bring 6+ years of professional software development experience, with strong emphasis on test automation for large-scale systems Strong coding skills in Python, Java, or JavaScript Proven experience designing test frameworks, test strategies, and reviewing system designs Solid understanding of testing methodologies: regression, integration, end-to-end, load, and performance testing Hands-on experience with API and integration testing; strong knowledge of RESTful services Experience working in cloud-native, distributed environments Experience building and maintaining CI/CD pipelines using Jenkins and GitHub Strong written and verbal communication skills; comfortable collaborating across teams and geographies Demonstrated ownership, proactive problem-solving, and ability to operate independently Technologies Utilized GCP: App Engine (GAE), Kubernetes (GKE), Compute Engine (GCE) Languages & Tools: Python, Vue, Git, GitHub, Jira
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