Frontend Engineer (GIS & Data Visualization)

Applaudo

Mexico

On-site

MXN 420,000 - 660,000

Full time

3 days ago
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Job summary

Applaudo in Mexico is actively seeking a Frontend Engineer with 4+ years of experience to build data visualizations, dashboards, and accessible frontend applications.

You will collaborate through code reviews and ticket-based workflows, implement WCAG 2.1 AA requirements, work with geospatial data, and contribute to scalable, performant user interfaces while leveraging AI-assisted development tools.

Qualifications

  • Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or related field or equivalent professional experience.
  • 4+ years of professional experience in Frontend Development or Frontend Engineering.
  • Experience with geospatial or location-based data in frontend apps.
  • Experience building data visualizations, dashboards, and data-driven interfaces.
  • Hands-on WCAG 2.1 AA accessibility implementation in frontend apps.
  • Experience building scalable and maintainable user-facing apps.
  • Proficiency with Git and collaborative development workflows.
  • Experience using AI-assisted development tools such as Claude Code or similar.
  • Experience working in structured delivery environments with documented designs, code reviews, and ticket-based workflows.
  • Strong written and spoken English communication skills.
  • Ability to maintain at least 4 hours of daily overlap with U.S. Eastern business hours.

Responsibilities

  • Build and enhance large-scale interactive maps with layer controls and color-coding.
  • Develop and maintain operational dashboards translating complex data into intuitive UIs.
  • Implement accessible frontend experiences aligned with WCAG 2.1 AA and support verification.
  • Work with geospatial data to create responsive, user-friendly map-based experiences.
  • Participate in beta feedback, defect resolution, UI improvements, and hardening through acceptance.
  • Collaborate with delivery teams through documented designs, Git workflows, and ticketed development processes.
  • Leverage AI-assisted development tools to improve efficiency and software quality.

Skills

Frontend Development
React
Angular
Data visualizations
WCAG 2.1 AA
Geospatial data
Git
AI-assisted tools
Code reviews

Education

Bachelor’s degree in CS / Software/Engineering or related field

Tools

Git
Claude Code

Job description

You have experience building data visualizations, dashboards, and accessible frontend applications, and you understand the importance of usability, maintainability, and performance. You are comfortable working in structured delivery environments, collaborating through code reviews and ticket-based workflows, and leveraging AI-assisted development tools to support your work.

You Bring to Applaudo the Following Competencies:
  • Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, or a related field is desired, or equivalent professional experience.
  • 4+ years of professional experience in Frontend Development or Frontend Engineering.
  • Experience working with geospatial or location-based data in frontend applications.
  • Experience building data visualizations, dashboards, and data-driven user interfaces.
  • Hands-on experience implementing WCAG 2.1 AA accessibility requirements in frontend applications.
  • Experience building scalable and maintainable user-facing applications.
  • Proficiency with Git and collaborative development workflows.
  • Experience using AI-assisted development tools such as Claude Code or similar tools.
  • Experience working in structured delivery environments with documented designs, code reviews, and ticket-based workflows.
  • Strong written and spoken English communication skills.
  • Ability to maintain at least 4 hours of daily overlap with U.S. Eastern business hours.
You Will Be Accountable for the Following Responsibilities:
  • Build and enhance large-scale interactive maps, including layer controls, operational color-coding, and manual override functionality.
  • Develop and maintain operational dashboards, transforming complex data into intuitive and actionable user experiences.
  • Implement accessible frontend experiences in alignment with WCAG 2.1 AA requirements and support accessibility verification throughout the development lifecycle.
  • Work with geospatial and operational data to create interactive, responsive, and user-friendly map-based experiences.
  • Participate in beta feedback rounds, defect resolution, UI improvements, and application hardening through acceptance.
  • Collaborate with the delivery team through documented designs, code reviews, Git-based workflows, and ticketed development processes.
  • Leverage AI-assisted development tools to improve development efficiency and support high-quality software delivery.
Qualifications
  • 4+ years of professional experience in Frontend Development or Frontend Engineering.
  • Strong hands-on experience with React or Angular.
  • Experience building data visualizations, dashboards, and data-driven user interfaces.
  • Hands-on experience implementing WCAG 2.1 AA accessibility requirements.
Additional Information
About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.

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