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Senior, metro Bengaluru role but niche Azure integration and data specialization reduces broad applicant competition.
Azure-specific integration and data engineering skills transfer across industries but require cloud platform experience.
Explicit 8–12 years, mandatory Azure integration, data and QA leadership, and CI/CD test automation required.
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Lead design, development, and maintenance of scalable Azure-based integration and data engineering solutions.
Own quality strategy and QA leadership for integration and data platforms, including test automation and release readiness.
Provide technical leadership, mentor engineers, and collaborate cross-functionally to ensure integration reliability and quality governance.
8–12 years of software engineering experience with a focus on integration-heavy or data-centric platforms.
Strong hands-on expertise with Azure Integration Services, Azure Data Factory/Synapse, and cloud-native integration patterns.
Proven experience leading QA or Quality Engineering efforts, including test automation and quality standards enforcement.
Proficiency in programming/scripting languages such as C#, Python, or JavaScript; experience with Azure DevOps CI/CD pipelines.
Experienced technical leader with ownership of end-to-end delivery quality for complex Azure-based integrations.
Skilled in driving QA strategy and governance in multi-team, distributed environments, balancing hands-on engineering and leadership.
Comfortable collaborating with product, architecture, DevOps, and release teams to manage risks and ensure stable releases.