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Mid-tier brand with a popular QA mid-level role and broad automation requirements increases competition.
Core QA and automation skills are transferable but required data-processing pipeline expertise raises domain specificity.
Mandatory data-pipeline expertise plus automation and cloud QA expectations create moderate strictness without explicit years.
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Lead QA efforts to maintain SLA for Technical Operations and reduce incidents through proactive monitoring and incident management.
Automate and execute QA plans for digital solutions, contributing to Cloud QA best practices in test automation and reporting.
Train and mentor team members, handle escalations, and collaborate across teams to improve Level 2 support efficiency and overall process improvements.
Strong experience with Data Processing Pipeline is mandatory.
Experience in automating test plans and working with Agile methodologies.
Bachelor’s degree/MCA in Computer Science, Information Technology, or related field.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in diverse testing types including Functional, Regression, API, Integration, UAT, and Performance testing, with ability to hit the ground running.
Able to coordinate incident management and operational KPI analysis to drive process improvements.
Capable of mentoring teams and collaborating cross-functionally in geo-distributed environments, with good business acumen.