Full Description

Software Development Engineer in Test Brazil, Londrina At Platform Science, we’re working to connect everything that moves. Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe. Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation. We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team. About the Role As a Software Development Engineer in Test (SDET), you'll be a technical expert in test automation, working closely with development teams to embed quality from the early stages of the software development lifecycle. Your expertise will be crucial in enhancing our testing processes, optimizing CI/CD pipelines, and developing innovative solutions that ensure the continuous delivery of high-quality software. You'll also ensure product quality through the strategic execution of manual exploratory and validation tests.

Technical Excellence and Advanced Automation

• Design, develop, and implement sophisticated test automation frameworks (API, database, performance, security, usability, accessibility, etc.) that are scalable, robust, and adaptable to various environments and platforms.
• Act as a technical reference in solving complex testing problems, utilizing advanced debugging techniques and performance analysis.
• Develop and maintain test automation solutions for microservices, event-driven architecture, and service-oriented architectures, including the simulation of dependent services using virtualization.
• Conduct root cause analyses on complex incidents, applying advanced analytical methods to identify patterns and mitigate future risks.
• Analyze and optimize the CI/CD pipeline to reduce test feedback time and improve development process efficiency.

Quality and Continuous Improvement

• Implement and enhance shift-left testing practices, ensuring quality is considered at all stages of development.
• Actively contribute to defining and implementing the test pyramid, considering the architectural challenges of each solution.
• Implement real-time test monitoring and alert systems, enabling quick responses to critical failures.
• Research, evaluate, and, when applicable, implement emerging technologies in AI and machine learning for test automation, aiming for early fault detection and process optimization.
• Outline test strategies for integrated applications, working alongside the quality, engineering, and product teams.