zetaglobal · Bengaluru, Karnataka, India
Skills: SQL, CI/CD
Staff QA Automation Engineer Job Location: Bangalore About the role: Most teams trade speed for quality. We believe quality is what enables speed. We are building an AI-first engineering organization where teams ship fast, confidently, and continuously. That only works when quality, data, and delivery are designed as a system—not separate functions. This is not a traditional QA role. It is not project management. This is a high-ownership position where you define how an AI-first team builds, validates, and ships production software. Key Responsibilities: Build Quality as a System Turn quality into developer behavior, not a downstream gate Design automated testing systems that act as guardrails Define and enforce what “production-ready” means through systems Enable teams to anticipate edge cases, failures, and data issues early Eliminate “hope-driven” releases Define What’s Buildable Partner with Product and Sales to validate ideas early Assess feasibility, data requirements, trade-offs, and cost Translate ambiguity into clear, executable plans Shape viable ideas and stop unworkable ones early Own the Data Reality Map how data actually flows across systems and integrations Identify gaps, inconsistencies, and reliability issues Ensure features are grounded in real, usable data Navigate internal and third-party data ecosystems confidently Bring Domain Expertise Apply knowledge of MarTech / AdTech (identity, activation, measurement) Operate within healthcare data constraints and compliance requirements Ensure solutions are technically sound and market-relevant Drive Delivery End-to-End Own delivery for AI-first engineering teams Break down work into clear, actionable steps Maintain predictable delivery without slowing velocity Proactively identify risks and adjust early Align Product, Engineering, and GTM teams. Redefine QA for AI Systems Develop testing strategies for AI-generated, non-deterministic systems Validate outputs and behavior, not just code Build evaluation…
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