Low-Code Developer
LATAM, Europe | Full-time | Remote

We are on the lookout for a dedicated and proficient Low-Code Engineer for our hiring partner - a start-up company which automates content review, ensuring it's aligned with regulations and policies.

The candidate for this role will possess a combination of technical skills, creativity, and analytical thinking. They will be responsible for rapidly prototyping solutions using a mix of low-code/no-code platforms and traditional coding, particularly in JavaScript and related technologies. The role demands an understanding of product design and frontend development practices, including responsive design, JavaScript frameworks (such as React), and CSS preprocessors.
Additionally, the candidate should be proficient in integrating and analyzing data from various sources to inform design and functionality decisions.

It is a fully remote (at least 3 - 4 hours to work within PST).

  • Experience in front-end development, including JavaScript, HTML5, and CSS3.
  • Experience with low-code (such as bubble.io, airtable, smartsheet etc) and no-code platforms and understanding their capabilities and limitations.
  • Analytical skills, with the ability to use data to drive decisions.
  • Familiarity with JavaScript libraries (e.g. jQuery) and frameworks (e.g. React, Angular).
  • Knowledge of version control systems, like Git.
  • Understanding of RESTful services and APIs.
  • Experience with responsive and mobile design principles.
  • Excellent communication skills to collaborate with non-technical stakeholders.

  • Work closely with product managers, designers, and stakeholders to understand requirements and translate business needs into technical solutions.
  • Design and develop rapid prototypes using a combination of low-code/no-code platforms and custom development.
  • Leverage JavaScript, HTML, and CSS to enhance low-code functionality with custom development.
  • Integrate with APIs to connect with backend services and ensure seamless data flow.
  • Analyze user interaction data to inform iterative design improvements.
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