Test Automation Engineer
TailscaleFull Time
Junior (1 to 2 years)
Candidates should have a Bachelor's degree in Computer Science, Information Technology, or a related field and at least 8 years of experience as a Test / QA Engineer. A strong understanding of software testing methodologies, tools, and processes is required, along with proficiency in test framework design. Experience with automated testing tools such as Selenium, Pytest, or TestNG and knowledge of scripting languages for test automation like Python or Java are essential. Candidates must also have expertise in test automation integration with CI/CD and familiarity with version control systems like Git.
The Test Infrastructure Engineer will develop test strategies, build test frameworks and test plans for web-app, services integration, and system levels. They will create testing frameworks for system and integration testing to enhance quality and velocity, as well as improve unit test quality for Python and Go. The role involves integrating automated tests into CI/CD infrastructure, developing a stress testing framework using Postman, Selenium, and other tools, and managing data analysis. Additionally, the engineer will triage failures and collaborate with stakeholders to debug issues.
Develops enterprise AI solutions for workforce efficiency
Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.