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QA Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . QA Engineer. in . United States. .. As a QA Engineer, you will play a key role in ensuring the quality, reliability, and scalability of cloud-based platforms and distributed systems. You will design, develop, and execute both automated and manual test plans, collaborating closely with backend engineers and DevOps teams to maintain seamless cloud experiences for customers. This role requires hands-on experience with cloud infrastructure, APIs, and microservices, as well as proficiency in automation frameworks and scripting languages. You will help validate system performance, reliability, and security across multi-cloud environments, contributing to continuous improvement and robust, high-quality product delivery. The position offers a remote-friendly, collaborative environment where your work directly impacts customer satisfaction and system excellence.. . Accountabilities. Design, develop, and maintain automated and manual test cases for cloud applications, APIs, and microservices.. Validate performance, reliability, and scalability across multi-cloud or hybrid environments.. Develop and maintain automated regression suites and conduct API testing.. Identify, document, and track defects through resolution.. Support security, failover, and load testing as part of continuous quality assurance efforts.. Collaborate with cross-functional teams to enhance QA processes and improve overall product quality.. . Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.. 3–8 years of QA experience, with at least 2 years in cloud or distributed systems testing.. Strong experience with test automation frameworks and scripting languages (Python, Shell, or similar).. Solid understanding of cloud infrastructure and services (AWS, GCP, or equivalent).. Knowledge of REST APIs, microservices, and networking fundamentals.. Preferred:. Experience testing serverless architectures or containerized workloads (Kubernetes, ECS).. Familiarity with performance testing tools and infrastructure testing frameworks.. Exposure to chaos engineering methodologies.. . Company Location: United States.