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Medium: common QA role plus broad automation and data-pipeline requirements increase candidate competition.
High: payment-domain and data-pipeline expertise create strong domain-specific hiring bias.
Medium: mandatory data-pipeline and automation experience required but no explicit years specified.
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Maintain overall SLA for Technical Operations and proactively monitor application uptime to reduce incidents.
Lead incident management, coordinate with support teams, and drive process improvements through operational KPIs analysis.
Automate and execute QA plans for digital solutions, contribute to Cloud QA best practices, and mentor team members on supporting systems.
Strong experience with Data Processing Pipeline is mandatory.
Experience in test automation, including writing test scenarios, test plan documentation, and generating test metrics.
Experience in Agile methodologies and various testing types: Functional, Regression, API, Integration, UAT, and Performance testing.
Bachelor’s degree or MCA in Computer Science, IT, or related field; proven track record in delivering automation testing solutions.
Experienced in technical operations with a focus on SLA management and proactive incident reduction.
Skilled in coordinating across support levels and mentoring teams to improve operational efficiency.
Capable of independently driving automation initiatives in Agile environments, with strong analytical and problem-solving skills.