Senior Automation QA Engineer (SDET)
New
J
JobgetherSecurity & IT
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years of experience as an SDET, Automation QA Engineer, or Software Engineer
- Required Skills
- PythonSQLCloud ComputingGitKafkaC#GoCI/CD
Requirements
- Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
- 4+ years of experience as an SDET, Automation QA Engineer, or Software Engineer with significant testing and automation responsibilities.
- Strong professional programming experience with C#, Python, or Go.
- Solid understanding of Object-Oriented Programming principles and software engineering practices.
- Hands-on experience designing, building, and maintaining automated test frameworks.
- Experience working across both Windows and Linux environments.
- Professional experience with at least one major cloud platform (Azure, AWS, or GCP).
- Practical performance testing experience with tools such as JMeter, Locust, Gatling, or k6.
- Strong knowledge of relational databases (e.g., SQL Server, MySQL, PostgreSQL, Oracle, or MariaDB).
- Experience testing or troubleshooting streaming and messaging platforms such as Kafka, RabbitMQ, or Pub/Sub.
- Strong Git workflow knowledge and experience working with collaborative source-control practices.
- Hands-on experience with CI/CD platforms such as Azure DevOps, Jenkins, CircleCI, GitLab, Codefresh, or Rundeck.
Responsibilities
- Analyze front-end and back-end systems to identify quality, reliability, performance, and scalability risks.
- Design, develop, deploy, and maintain automated testing solutions capable of operating at large scale.
- Build and execute automated test cases covering functional behavior, regression scenarios, integrations, data processing, and service reliability.
- Collaborate with engineering teams during requirements definition and technical design reviews to incorporate automation and testability.
- Maintain and enhance automated tests integrated into CI/CD pipelines, enabling rapid and reliable feedback on code submissions.
- Perform performance testing and help identify bottlenecks or reliability issues across services and data-processing workflows.
- Investigate defects, debug complex issues, perform root-cause analysis, and support incident and SLA management activities.
- Champion quality ownership across engineering teams and promote effective QA methodologies and automation best practices.
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