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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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