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Specialized payments/data-pipeline QA reduces applicants, but common mid-level QA demand keeps competition medium.
QA automation skills transfer broadly, but payments and data-pipeline specialization increases domain sensitivity.
Mandatory data-pipeline and automation expertise plus lead responsibilities make filtering strict.
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Maintain SLA for Technical Operations including proactive monitoring of application uptime and incident reduction.
Organize incident management, triage operational KPIs, and drive process improvements in Level 2 support team efficiency.
Automate and execute QA plans for digital solutions, contribute to cloud QA best practices, and mentor team members.
Strong experience with Data Processing Pipeline (mandatory).
Experience in automation testing, Agile methodologies, and various testing types including Functional, Regression, API, Integration, UAT, and Performance testing.
Bachelor’s degree or MCA in Computer Science, IT, or a related field.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in owning SLA and operational efficiency within technical support or QA teams for complex digital solutions.
Proficient in test automation and cloud QA best practices with ability to lead and mentor teams.
Capable of collaborating with cross-functional and geo-distributed teams, handling escalations, and managing incident resolutions effectively.