Software Development Engineer in Test II (SDET II)

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.

We are seeking an experienced Software Development Engineer in Test II (SDET II) to improve the quality, reliability, and delivery speed of our software products. This role will design and maintain automated test solutions, strengthen our testing practices, and partner with engineering and product teams throughout the development lifecycle.

The ideal candidate combines strong software engineering skills with a quality-focused mindset and can independently solve moderately complex testing and automation challenges.

• →Design, develop, and maintain automated test cases and test suites, working within established automation frameworks and patterns.
• →Create test strategies and plans covering functional, integration, regression, end-to-end, performance, and reliability testing. 
• →Integrate automated tests into CI/CD pipelines and improve the speed, stability, and usefulness of test feedback.
• →Review product requirements and technical designs to identify risks, edge cases, and testability concerns early.
• →Diagnose failures across application, test, infrastructure, and data layers, partnering with developers to resolve root causes.
• →Monitor and report quality metrics such as defect trends, test coverage, escaped defects, and automation reliability.
• →Reduce flaky tests and improve the maintainability and execution efficiency of the automation suite.
• →Participate in code reviews and promote engineering practices that improve testability and software quality.
• →Execute manual and exploratory testing for Electronic Logging Device (ELD) compliance solutions, including hardware-in-the-loop setups utilizing Android tablets, telematics devices/On-Board Computers (OBCs), and in-cabin vehicle testing.
• →Must be able to work on-site a minimum of 3 days per week

• Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
• 3-4 years of experience in software development, test automation, or quality engineering.
• Proficiency in Python, or a comparable object-oriented language (Java, C#, Ruby, JavaScript/TypeScript)
• Experience with Gherkin/BDD frameworks.
• Experience with mobile UI automation (Appium, Espresso, XCUITest, or similar).
• Comfort with REST API testing — OAuth-based auth flows, building/debugging HTTP request wrappers, reading API error responses.
• Experience working with Git, CI/CD systems, and Agile software development practices.
• Ability to troubleshoot distributed systems using logs, metrics, traces, and debugging tools.
• Strong written and verbal communication skills, with the ability to collaborate across technical and nontechnical teams.

• Experience testing cloud-based applications or services in AWS, Azure, or Google Cloud.
• Working knowledge of Docker and dev containers for running a consistent local test environment
• Experience testing Android applications (UiAutomator2, adb)
• Familiarity with test reporting tools (Allure, ReportPortal, or similar).
• Experience with performance and load-testing tools such as k6, JMeter, or Gatling.
• Knowledge of accessibility, security, contract, or resilience testing.
• Experience improving test architecture, reducing flaky automation, or modernizing legacy test frameworks.
• Familiarity with observability platforms and production-quality monitoring.
• Practical experience using AI coding tools, with the judgment to verify and adapt AI-generated code.
• Experience mentoring engineers or leading quality initiatives across multiple teams.
• Experience in a regulated/compliance-driven domain