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About the role
The Role This role sits at the intersection of cloud infrastructure, data systems, and engineering quality. Rather than operating as a traditional QA function, you will take ownership of ensuring that systems behave reliably across cloud environments, data pipelines, APIs, and user interfaces. This involves reviewing implementations, identifying gaps, and ensuring everything works as expected in production. You will work closely with engineering teams to validate systems end-to-end and drive automation, with a strong focus on efficiency, reliability, and real-world system behaviour. What Youll Work On - Validating system behaviour across cloud infrastructure, APIs, data pipelines, and frontend layers - Reviewing code and identifying gaps, inconsistencies, and edge cases before they impact production - Building and improving automation workflows, CI/CD validations, and system-level checks - Ensuring reliability and stability across cloud-based deployments (GCP/AWS) - Collaborating closely with engineers to debug issues and improve overall system quality - Monitoring system performance and proactively identifying areas for improvement What Were Looking For - You have at least 4 years of experience in cloud engineering, quality engineering, or similar roles - You possess solid hands-on experience working with cloud environments (AWS/GCP) and understand how systems operate in production - Experience working with automation, CI/CD pipelines, and system-level validation - Familiarity with data pipelines or data-heavy systems, or the ability to ramp up quickly - Comfort with reading code and working closely with developers to resolve issues - A natural tendency to question system behaviour, identify gaps, and improve reliability - A mindset that focuses on end-to-end system quality rather than isolated test cases - Ability to operate across infrastructure, backend, and frontend layers when required Whats in It for You - Work on problems involving complex data, scale .
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