Front-End Software Engineer
Posted on Nov 22, 2019 by Request Technology - Craig Johnson
Prestigious Fortune 500 Company is currently seeking a Front End Software Engineer. Candidate will develop new tools and solutions that enable Data Management and Analytics Strategy. Candidate will be part of an innovation team that works on different initiatives, from automating processes that increase the effectiveness of our Data Management program to building and supporting new platforms and solutions that make data more easily available to data consumers.
Utilize multidisciplinary approach to business problems to combine technical, analytics and business knowledge.
Break down business problems into solvable components by assessing the requirements and/or business implications to arrive at recommended solutions.
Demonstrate high degree of analytic agility to meet fluid and dynamic business needs.
Develop, deploy and manage software applications that deliver new data management capabilities.
Support a variety of products and needs for the Enterprise Data Management team.
Use a wide variety of tools and languages to achieve results (eg, Flask, ReactJs, ExpressJS, NodeJs, etc.).
Coach and mentor jr. developers when needed
Bachelor's degree in Computer Science or STEM field, including a solid understanding of Computer Science and Software Engineering fundamentals or equivalent experience.
Experience with modern Front End frameworks (eg, React, Redux, Angular, NodeJS and ExpressJS) and development tools (eg Babel, Webpack, NPM, etc.)
Solid experience with unit testing frameworks (preferably Jest).
Experience with CI/CD pipelines and DevOps tools like Github and Jenkins.
Master's or PhD in the fields of Computer Science or STEM related
Knowledge of Python or Scala
Experience with developing APIs in Springboot, JPA, and Hibernate
Solid understanding of other Back End technologies and frameworks (preferably Flask).
Strong ability to communicate technical concepts to non-technical audiences.
Demonstrated delivery of software applications within a complex technical data ecosystem