Senior Full-Stack Engineer (Node, React)

Factored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. ​We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.

We seek a skilled Full-Stack Engineer with React and Node.js expertise to join our dynamic development team. As a Full-stack Engineer, you will contribute to designing, developing, and implementing cutting-edge applications. You will be responsible for both backend and frontend development, utilizing your strong programming skills and experience with React and Node.js.

Functional Responsibilities:

• Develop new user-facing features using React, ensuring high-quality, reusable, and efficient code.
• Participate in code reviews to maintain code quality, identify bugs, and suggest improvements.
• Collaborate with cross-functional teams to gather requirements, design solutions, and implement application features.
• Support robust and scalable backend components using Node.js.
• Work with AWS services and general knowledge of cloud infrastructure to deploy and maintain applications.
• Collaborate with the team to identify and address performance bottlenecks, scalability issues, and technical debt.
• Stay up-to-date with emerging technologies and industry trends, and share your knowledge with the team.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of professional experience as a Full-Stack Engineer, with strong expertise in JavaScript, React, and Node.js.
• Solid understanding of web development principles, including RESTful APIs, MVC architecture, and frontend/backend integration.
• General knowledge of AWS and experience with cloud services.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities, with a passion for teamwork.
• Ability to adapt to a fast-paced, agile development environment.
• Excellent English communication skills.

 

At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you.     We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts.    In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission.  When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.