BairesDev
Uruguay
New
API Test Automation Engineer (Playwright)
Testing Full-time Mid-Senior level 16m ago
- Continuous Deployment
- Continuous Integration
C
AI Summary
We're looking for an SDET Automation Lead to transform our QA team into a strategic, AI-powered quality engineering function. The ideal candidate will have experience in test automation, leading a QA team, and building AI/ML into QA workflows. The role requires strong Python skills, CI/CD pipeline architecture experience, and a strategic mindset.
Key Highlights
Transform QA team into a strategic, AI-powered quality engineering function
Define key product quality metrics and build a strategic multi-quarter QA roadmap
Build a team culture focused on heavy AI & automation usage
Key Responsibilities
Define key product quality metrics and build a strategic multi-quarter QA roadmap
Execute the defined QA roadmap
Expand test coverage systematically: prioritize by risk, by impact
Own the test system infrastructure and the resource strategy
Build a team culture focused on heavy AI & automation usage
Mentor 6 SDETs from 'test writers' to 'product quality engineers' who own subsystems end-to-end
Create career growth paths
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Technical Skills Required
Benefits & Perks
Fully remote work with flexible working hours
Paid 24 days of vacation per year
10 days of national holidays
Unlimited sick leaves
Compensation for private medical insurance
Co-working and gym/sports reimbursement
Budget for education
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Nice to Have
VM orchestration/cloud infrastructure testing experience
Security product testing background (WAF, antivirus)
Job Description
CloudLinux Inc., the maker of the #1 OS in security and stability for hosting providers. It is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention.Check out our website for more information about our https://cloudlinux.com/We're looking for who can transform a technically capable but operationally strained QA team into a strategic, AI-powered quality engineering function. This is the opportunity to fundamentally rethink how we assure quality at scale.
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