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Zeta Global

AI-driven marketing platform for enterprises

Senior Software Engineer - Automation & Tooling

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, Engineering, or equivalent experience.
  • At least 8 years of experience in Quality Engineering or Software Development, with a strong emphasis on test automation and tooling.
  • A strong software engineering background with proven coding expertise; Python is required, while Java, JavaScript, or similar languages are a plus.
  • Demonstrated ability to architect and maintain automation frameworks at scale.
  • Experience integrating automation into CI/CD pipelines and modern DevOps environments.
  • A track record of contributing strategically to process and tooling improvements and technically through hands-on coding.
  • Experience mentoring engineers and influencing QA practices across teams or pods.
  • Strong coding and debugging skills and a strong grasp of software engineering principles.
  • Ability to design and document complex automation frameworks and tools.
  • Knowledge of Agile and DevOps methodologies.

Responsibilities

  • Design, develop, and maintain automation frameworks, tools, and scripts to enhance engineering efficiency and product quality.
  • Write production-grade code and contribute to the test automation ecosystem.
  • Provide architectural input for automation solutions, ensure scalability and maintainability, and set coding standards for QA automation while remaining actively involved in code contributions.
  • Partner with Product Managers, Engineering Managers, Engineers, QA Managers, and QA peers across multiple pods to identify quality challenges, share solutions, and drive organization-wide improvements.
  • Identify gaps in QA processes and tooling; design and implement solutions to improve testing practices.
  • Drive evaluation, adoption, and integration of technologies, frameworks, and methodologies within the Automation & Tooling team.
  • Own complex quality issues across pods; facilitate discussions and workshops to drive resolution and implement long-term solutions.
  • Mentor junior engineers and QA peers in automation best practices and run knowledge-sharing sessions across the organization.
  • Track and analyze QA-related KPIs, use data to identify improvements, and report progress on automation and quality initiatives.
  • Align QA automation strategies with end-user needs, ensuring test coverage and quality improvements support customer experience.

Desired Qualifications

  • Hands-on experience developing AI-powered applications, especially using retrieval-augmented generation (RAG) architectures for knowledge retrieval and augmentation.
  • Familiarity with LangChain or similar frameworks for building large language model-powered workflows.
  • Experience with Model Context Protocols (MCPs) or related agent orchestration approaches.
  • Strong Python skills with modern machine learning and artificial intelligence libraries such as Hugging Face, OpenAI API, or Llama Index.
  • Experience applying AI in QA and automation contexts, such as intelligent test generation, anomaly detection, or defect classification.
  • Understanding of MLOps practices, including model deployment, monitoring, versioning, and integration with CI/CD.
  • Awareness of ethical AI practices, including bias, explainability, and model governance.

About the Company

Zeta Global

AI-driven marketing platform for enterprises

Zeta Global provides AI-driven marketing technology for enterprises to acquire customers, retain them longer, and grow their value. Its Zeta Marketing Platform offers a real-time view of prospects and customers and uses AI to deliver personalized experiences across multiple channels at scale, pulling in behavioral signals and purchase intents to generate intent and churn signals for millions of identities for cross-channel campaigns. It differentiates itself through real-time data, a large identity graph, multi-channel orchestration, and deterministic attribution that drive measurable marketing outcomes. The goal is to help brands optimize acquisition and retention to maximize lifetime value by delivering precise, data-driven marketing at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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