AdTechTalent
Engineering2 months agoOn-site

Zeta Global

Staff QA Automation Engineer

QA Automationtest automationCI/CDSQLAIMLLLMMarTechAdTechhealthcare dataquality engineeringSDETAI-firstnon-deterministic systems

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Bengaluru, India

Full job description

Staff QA Automation Engineer role based in Bengaluru, Karnataka, India. This senior full-time position focuses on building quality as a system within AI-first engineering teams. Responsibilities include designing automated testing systems, defining production readiness, anticipating edge cases, partnering with Product and Sales to validate ideas, mapping data flows, ensuring data reliability, applying MarTech/AdTech and healthcare data expertise, driving end-to-end delivery, and developing testing strategies for AI and non-deterministic systems. Requirements include strong systems thinking, experience in quality engineering or SDET roles, hands-on test automation and CI/CD pipeline experience, strong SQL skills, and familiarity with AI-assisted development or ML/LLM systems. The role demands ownership, technical leadership, and the ability to improve engineering quality without bottlenecks.

What you'll do

  • 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
  • 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 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
  • Apply knowledge of MarTech / AdTech (identity, activation, measurement)
  • Operate within healthcare data constraints and compliance requirements
  • Ensure solutions are technically sound and market-relevant
  • 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

Requirements

  • Strong systems thinking across quality, data, and delivery
  • Ability to move from data models to requirements to test strategy to 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

Tech stack

test automationCI/CD pipelinesSQLAI-assisted developmentMLLLM

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