Related skills
gitlab jenkins test automation python ai📋 Description
- Design intelligent test analysis systems to identify quality gaps and predict failures
- Design systems that collect, analyse and act on testing data to improve quality processes
- Leverage AI-powered tools to implement test automation, failure analysis, and root cause identification
- Establish new methodologies for measuring and improving test quality beyond pass/fail metrics
- Define and implement architectural patterns to make testing more effective and maintainable
- Systematic regression tracking and processes to prevent regression recurrence
🎯 Requirements
- Expertise with test architecture and automation systems design.
- Programming experience across multiple languages, Python a must.
- Expertise in test automation with embedded systems in the loop.
- Proven track record in driving test transformation and reducing production issues.
- AI expertise for testing with AI tools and predictive analytics.
- Knowledge of continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and quality gates
🎁 Benefits
- Hybrid work: in-office Mon-Thu, remote on Fridays
- Global mental health and financial wellness resources
- Healthcare, dental, vision, life, disability, and retirement options
- Generous time off and location-based leave policies
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!