SDET-Client Automation and QA
Hewlett Packard Enterprise (HPE)Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level SDET role in Bengaluru with common automation skills attracts high applicant density.
Core QA automation skills are transferable, but deep networking and endpoint security requirements raise industry specificity.
Explicit 5–8 years plus mandatory Python, automation frameworks, multi-OS and networking expertise creates high strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end validation of Atmos Agent client features across multiple desktop and mobile platforms including Windows, macOS, Linux, Android, iOS, and ChromeOS.
Develop, maintain, and integrate automated test cases and common automation libraries into CI pipelines, analyzing and triaging failures to improve regression efficiency.
Perform hands-on debugging and reproduce customer issues related to secure access, authentication, networking, and policy enforcement to provide clear technical analysis and support continuous QA process improvements.
Minimum Requirements
Bachelor's or Master's degree in Computer Science or related fields.
5-8 years of relevant experience in QA for enterprise endpoint/client applications across desktop and mobile platforms.
Strong programming skills in Python and experience with automation frameworks such as Playwright, Selenium, and Appium.
Onsite work requirement at HPE office; strong networking fundamentals including TCP/IP, VPN, secure access technologies, and client-side debugging skills.
Ideal Candidate Profile
Experienced in client application QA with demonstrated ability to automate and maintain test suites in multi-platform environments with CI integration.
Technical proficiency in analyzing complex networking and endpoint security issues including VPN, ZTNA, SSO, and certificate-based authentication workflows.
Ability to independently lead validation efforts, collaborate cross-functionally on quality improvements, and improve automation efficiency using existing frameworks and diagnostic tools.