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Metro location and general SDET automation skills increase applicant density, but seniority and specialization moderate it.
Automation, cloud-native, and monitoring skills transfer across industries, but platform-specific tools raise domain bias.
Multiple mandatory automation, performance, cloud, and monitoring skills imply moderate filtering of candidates.
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Lead development and maintenance of automated testing frameworks for large-scale, data-driven Java and Cloud Native applications.
Provide technical leadership in testing automation across multiple programs and projects, emphasizing reduction in manual testing by identifying and automating high-ROI test cases.
Collaborate closely in Agile teams with engineers, architects, and product managers to ensure comprehensive end-to-end testing for each release.
Bachelor’s degree in computer science or equivalent technical work experience.
Experience with automation testing frameworks and techniques for Java, Cloud Native applications, mobile apps, and SDKs.
Proficiency in Python, Hadoop, Spark, Java, SQL, APIs (REST/SOAP), and ability to manage multiple priorities in dynamic environments.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading automation testing initiatives and developing frameworks with a focus on reducing manual testing efforts.
Strong technical knowledge of DevOps practices including continuous integration/continuous delivery tools like Jenkins, and familiarity with monitoring tools such as Dynatrace and Splunk.
Comfortable working with complex data pipelines and microservices architectures, and engaging collaboratively with cross-functional Agile teams from early development stages.