Senior Automation QA Engineer (SDET)

Accountabilities

• • 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.
  • Perform integration testing across APIs, databases, flat files, and other system interfaces.
  • Collaborate with engineering teams during requirements definition and technical design reviews to incorporate automation and testability into new features from the beginning.
  • Evaluate existing test automation frameworks and identify opportunities to improve their reliability, maintainability, coverage, and scalability.
  • Research, recommend, and implement modern automation tools, techniques, and testing approaches.
  • 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.
  • Identify quality issues affecting data collection, storage, processing, and downstream data pipelines.
  • Champion quality ownership across engineering teams and promote effective QA methodologies and automation best practices.
  • Clearly communicate technical findings, risks, recommendations, and testing results to both technical and cross-functional stakeholders.

  Requirements

  • Bachelor’s degree in Computer Science or a 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, such as Azure, AWS, or GCP.
  • Practical performance testing experience with tools such as JMeter, Locust, Gatling, or k6.
  • Strong knowledge of relational databases, including technologies such as 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.
  • Experience with root-cause analysis, incident management, SLA-driven environments, debugging, and data-pipeline troubleshooting.
  • Solid understanding of QA methodologies, including functional, performance, regression, black-box, and white-box testing.
  • Strong analytical and problem-solving skills, with the ability to investigate complex systems and identify underlying causes of issues.
  • Excellent communication skills and the ability to explain technical concepts clearly to engineers and cross-functional stakeholders.
  • Curiosity and genuine enthusiasm for continuous learning, experimentation, and improving engineering quality.
  • Knowledge of healthcare technology and benefits systems is a plus, particularly EDI, NCPDP, and pharmacy/PBM transaction processing.
  • Experience working in HIPAA-, PCI-, or similarly regulated high-security environments is desirable.
  • Open-source contribution experience is an additional advantage.

  Benefits

  • Fully remote position in Brazil.
  • Opportunity to work on large-scale data platforms and highly automated engineering environments.
  • Exposure to systems running millions of automated tests annually through integrated CI/CD pipelines.
  • Collaboration with multidisciplinary engineering, product, QA, data, and technical leadership teams.
  • Opportunity to influence testing strategy, automation architecture, and quality practices across the development lifecycle.
  • Hands-on exposure to cloud platforms, data pipelines, streaming technologies, performance testing, and modern CI/CD tooling.
  • Opportunity to work on technically complex systems where reliability, scalability, and automation are central priorities.
  • Remote-first environment with opportunities to contribute to global engineering initiatives.