Senior Automation Engineer AVP - AI-Driven Testing

Citi; New York (NY); Hybrid; USD 94,000 - 142,000; Full time

Job summary

Citi is hiring a Senior Automation Developer in a Hybrid role based in Mississauga, Canada, with a strong focus on scalable UI and server-side automation. You will architect, refactor, and maintain distributed test automation frameworks while adopting shift-left testing in a fast-paced Agile environment.

You will work across UI, API, and data layers, applying SOLID and design patterns, and integrating AI/ML utilities to improve script generation, self-healing locators, and test coverage.

Qualifications

• 5-8 years of relevant experience in software development.
• Advanced programming in Java, Python, and JavaScript/TypeScript with strong OOP
• Experience with Selenium WebDriver and automation frameworks
• Familiarity with CI/CD pipelines and AI-assisted development tools

Responsibilities

• Architect and scale robust automation frameworks for UI and server-side components.
• Write production-grade automation code and reusable libraries.
• Collaborate in early sprint planning to define automation requirements and acceptance criteria.
• Implement BDD/TDD practices and translate Gherkin into executable steps.
• Develop automated validation for APIs, microservices, and databases.
• Integrate AI tools to enable self-healing scripts and predictive test analytics.

Skills

Java

Python

JavaScript/TypeScript

OOP Principles

Problem Solving

Education

Bachelor's degree in Computer Science or related

Tools

IntelliJ IDEA

GitHub Copilot

CI/CD tools (Jenkins / GitLab CI / GitHub Actions / Tekton)

Selenium WebDriver

Docker

Kubernetes

Git

Job description

Citi is hiring a Senior Automation Developer in a Hybrid role based in Mississauga, Canada, with a strong focus on scalable UI and server-side automation. You will architect, refactor, and maintain distributed test automation frameworks while adopting shift-left testing in a fast-paced Agile environment.

You will work across UI, API, and data layers, applying SOLID and design patterns, and integrating AI/ML utilities to improve script generation, self-healing locators, and test coverage.