Design, develop, and maintain scalable automation frameworks for functional, regression, and integration testing across enterprise applications.
Lead automation engineering efforts across multiple projects, ensuring timely delivery and alignment with engineering standards.
Build and maintain CI/CD pipeline integrations to enable continuous testing and deployment across development teams.
Collaborate with software engineers, QA analysts, product managers, and DevOps teams to embed automation throughout the software development lifecycle.
Identify opportunities to expand automation coverage and champion best practices across the engineering organization.
Develop and maintain reusable automation libraries, scripts, and utilities using Python, Java, or similar languages.
Monitor automated test results, analyze failures, and drive resolution of defects and pipeline issues.
Mentor and provide technical guidance to junior and mid-level engineers on automation tools, frameworks, and practices.
Contribute to technical roadmaps, tooling evaluations, and strategic planning for the automation practice.
Minimum Qualifications
Bachelors degree in Computer Science, Engineering, or Information Technology.
8 or more years of experience in automation engineering with progressive responsibility.
4 or more years of hands-on experience building and maintaining automation frameworks using tools such as Selenium, Playwright, or Cypress.
4 or more years of experience in scripting and automation development using Python or Java.
3 or more years of experience integrating automated tests within CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.
3 or more years of experience with API test automation using REST-based frameworks.
2 or more years of experience with version control systems using Git or Bitbucket.
2 or more years of experience working in Agile development environments.
Preferred Qualifications
2 or more years of experience with infrastructure-as-code tools such as Ansible or Terraform.
2 or more years of experience with cloud platforms such as AWS, Azure, or GCP.
2 or more years of experience with containerization technologies such as Docker or Kubernetes.
2 or more years of experience with performance or load testing tools such as JMeter or Gatling.
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