Automation Engineer

Summary

Join NICE Actimize, a leading provider of financial crime solutions, and contribute to the development of a next-generation advanced analytical cloud platform. As a member of the PaaS/SaaS development group, you will design, develop, and maintain scalable automation frameworks for AI-based applications. Collaborate with data scientists and product managers to define test strategies, create and execute automated test cases, and integrate automated tests into CI/CD pipelines. Analyze test results, identify root causes, and work with developers to resolve issues. This role requires strong programming skills, experience with automation tools, and familiarity with AI/ML-based systems. NICE offers a challenging work environment, competitive compensation and benefits, and rewarding career opportunities.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 2–4 years of experience in QA with a strong focus on automation
• Proficiency in automation tools and frameworks such as Selenium, TestNG, JUnit, or Cypress
• Strong programming/scripting skills in Java, Python, or JavaScript
• Experience testing AI/ML-based systems or data-driven applications
• Familiarity with REST APIs, JSON, and Postman
• Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or Azure DevOps
• Excellent analytical and debugging skills

Responsibilities

• Design, develop, and maintain scalable automation frameworks for AI-based applications
• Collaborate with data scientists, developers, and product managers to understand requirements and define test strategies
• Create and execute automated test cases for functional, regression, and performance testing
• Integrate automated tests into CI/CD pipelines for continuous validation
• Analyse test results, identify root causes, and work with developers to resolve issues
• Ensure high test coverage and maintain test documentation
• Contribute to best practices in automation

Preferred Qualifications

• Experience in financial services or compliance domains
• Exposure to testing data pipelines, model outputs, and AI explainability
• Knowledge of performance testing tools like JMeter or Gatling
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

Benefits

• Competitive compensation, and benefits
• 2 days working from the office and 3 days of remote work, each week