Quality Assurance Analyst
Carrot FertilityFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must have 5+ years of hands-on experience testing web or mobile applications, as well as APIs. They should possess 3+ years of experience in setting up testing processes from scratch, building and maintaining test documentation, and have a strong understanding of client-server architecture, testing theory, and SDLC. A basic understanding of CI/CD, networking stack (DNS, TCP/IP, HTTP(S), SSH, etc.), and scripting experience in any modern programming language is required. Upper-intermediate written and spoken English proficiency, familiarity with task estimation, and a proactive personality with a willingness to learn and contribute to test automation are also essential.
The Manual QA Engineer will define end-to-end test strategy and processes for entire products, including suggesting appropriate tools. They will plan and execute testing for quality and conformance to specifications, assist project teams by tracking and reporting on quality initiatives, and investigate product quality issues, working towards resolution. The role also involves being a quality champion, evangelizing QA best practices, engaging directly with clients to understand requirements and define quality, and debugging complex issues. Additionally, the engineer will be expected to learn fast while working independently and reliably.
AI-powered platform for PCB design
Flux.ai provides a platform for designing and building printed circuit boards (PCBs) within the electronic design automation (EDA) market. The platform features an AI-powered assistant named Copilot, which helps users streamline the PCB design process, making it more efficient. Users can sign up for free and access basic features, with the option to upgrade to premium subscription plans for additional services. This freemium model allows engineers, designers, and electronics enthusiasts to engage with the platform at their own pace. Flux.ai differentiates itself from competitors by integrating AI assistance directly into the design workflow, enhancing user experience and accessibility in PCB design.