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SDET – Regression Automation Engineer
Oowlish · Brasília, Federal District, Brazil; Greater Fortaleza; Rio de Janeiro, Rio de Janeiro, Brazil; Buenos Aires Province; Bogota,D.C., Capital District; Mexico City; São Paulo, Brazil
Publicada em 20/08/2026
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Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role:
We are looking for experienced SDETs (Software Development Engineers in Test) to build and execute automated regression testing for a complex observability and audit platform operating across multiple enterprise environments.
This is a highly technical, hands-on automation role focused on validating APIs, data and telemetry pipelines, distributed tracing, alerting, audit capabilities, infrastructure deployments, performance, and scalability. This is not a traditional UI-focused QA automation position.
You will develop automated regression suites, validate Infrastructure as Code (IaC) deployments, execute load and failure scenarios, investigate defects, and provide regression evidence throughout a sprint-based development lifecycle.
The ideal candidate combines strong test automation and scripting skills with enough knowledge of AWS, Terraform, OpenTelemetry, and distributed systems to effectively validate complex infrastructure and observability capabilities.
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