Programador full stack

As a Solution Engineer, you will be engineering full-stack AI-driven web applications. You will be working directly with our customers to design, develop, and deploy production applications, demos, and proofs-of-technology. An ideal candidate possesses strategic and analytical aptitude, software development expertise, and excellent interpersonal skills. Responsibilities: • Develop and deploy full-stack, AI-based enterprise applications on the C3 AI Platform • Mentor junior team members on coding standards and design techniques • Conduct design and development reviews of customer software applications • Test, troubleshoot, and enhance customer software applications with and on behalf of customers • Deliver technical deep-dives, demonstrations, and customer training • Write application specifications and documentation • Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs. Qualifications: • Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study • 2+ years of professional software development experience with object oriented programming languages • Strong verbal and written communication, and ability to work effectively on a cross-functional team • Analytical and problem-solving abilities • Organizational skills and attention to detail • Ability to travel as needed Preferred Qualifications: • Graduate degree in Science, Technology, Engineering or Mathematics (STEM), or comparable area of study • Experience deploying enterprise scale applications • Experience working in a customer-facing role • Software development experience with JavaScript and Python • Experience with Git or other version control software • Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular • Experience deploying software to least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) • Understanding of SQL and NoSQL databases • Proficiency in data structure and algorithm design and implementation • Proficiency in time-series data analysis, cleansing, and normalization • Working knowledge of Agile software development methodology • Solid understanding of common machine learning techniques, applications, and trade-offs • Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications

Creado: Jue, 01 de Ene de 1970