Senior Software Engineer - Automation & Tooling

The role

You will design, build and maintain automation frameworks, tools and scripts to improve engineering efficiency and product quality. You will also act as a technical leader for QA automation and mentor engineers across multiple pods.

What you will do

• Design, develop and maintain automation frameworks, tools and scripts; write production-grade code
• Provide architectural input for automation solutions and set coding standards for QA automation
• Partner with Product Managers, Engineering Managers, Engineers and QA peers across multiple pods to drive org-wide quality improvements
• Identify gaps in QA processes and tooling and design solutions
• Evaluate, adopt and integrate new technologies, frameworks and methodologies
• Own complex quality issues across pods and lead discussions and workshops to resolve them
• Mentor junior engineers and QA peers in automation best practices
• Run knowledge-sharing sessions across the organization
• Track and analyze QA-related KPIs and report on automation and quality initiatives
• Align QA automation strategies with end-user needs and the customer experience

Required qualifications

• Bachelor's degree in computer science, engineering or equivalent experience
• 8+ years in Quality Engineering or Software Development, with strong emphasis on test automation and tooling
• Strong software engineering background with proven coding expertise in Python
• Demonstrated ability to architect and maintain automation frameworks at scale
• Experience integrating automation into CI/CD pipelines and modern DevOps environments
• Track record of contributing strategically (process and tooling improvements) and technically (hands-on coding)
• Experience mentoring engineers and influencing QA practices across teams or pods
• Excellent coding and debugging skills and a strong grasp of software engineering principles
• Ability to design and document complex automation frameworks and tools
• Strong problem-solving, analytical and architectural skills
• Excellent communication and interpersonal skills; able to influence without direct authority
• Knowledge of Agile and DevOps methodologies

Nice to have

• Java, JavaScript or similar languages
• Hands-on experience developing AI-powered applications, especially with RAG architectures
• Familiarity with LangChain or similar frameworks for LLM-powered workflows
• Experience with Model Context Protocols (MCPs) or related agent orchestration approaches
• Strong Python skills with modern ML/AI libraries such as Hugging Face, OpenAI API or Llama Index
• Experience applying AI in QA and automation, such as intelligent test generation, anomaly detection and defect classification
• Understanding of MLOps practices, including model deployment, monitoring, versioning and CI/CD integration
• Awareness of ethical AI practices, including bias, explainability and model governance

About the company

Zeta Global is a data-powered, AI-driven marketing technology company founded in 2007 and listed on the NYSE (ZETA). It offers the Zeta Marketing Platform to help enterprise brands acquire, grow and retain customers.