Staff QA Automation Engineer

Overview

Build and redefine quality engineering for AI-first engineering teams by designing systems that enable teams to ship production software quickly and confidently. Own quality, data, delivery, and testing strategies for AI-generated and non-deterministic systems.

What you'll do

• Turn quality into developer behavior rather than 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.
• 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.
• Map how data flows across systems and integrations.
• Identify data gaps, inconsistencies, and reliability issues.
• Ensure features are grounded in real, usable data.
• Navigate internal and third-party data ecosystems.
• Apply knowledge of MarTech / AdTech, including identity, activation, and measurement.
• Operate within healthcare data constraints and compliance requirements.
• 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.
• Develop testing strategies for AI-generated, non-deterministic systems.
• Validate outputs and behavior, not just code.
• Build evaluation frameworks for AI reliability and accuracy.
• Ensure AI accelerates development without compromising quality.

What you'll need

• Strong systems thinking across quality, data, and delivery.
• Ability to move from data models → requirements → test strategy → delivery plan.
• Experience improving engineering quality without becoming a bottleneck.
• Confidence pushing back on unclear or unviable ideas.
• Focus on production outcomes, not just releases.
• Background in Quality Engineering, SDET, or technical delivery leadership.
• Hands-on experience with test automation and CI/CD pipelines.
• Strong SQL skills and ability to work with complex data systems.
• Experience with AI-assisted development or ML/LLM-based systems.

Nice to have

• Experience in MarTech / AdTech ecosystems.
• Familiarity with healthcare data, compliance, and constraints.
• Exposure to building or testing AI-first or non-deterministic systems at scale.

Details

• Location: Bengaluru, Karnataka, India.