Frontend Engineer (GIS & Data Visualization)

Applaudo; Peru (IL); On-site; USD 85,000 - 120,000; Full time

Job summary

Applaudo is seeking a frontend engineer to build large-scale, accessible, map-centric dashboards and data-driven UIs. You will work with geospatial data to create interactive experiences and collaborate through code reviews and ticket-based workflows.

The role emphasizes AI-assisted development, strong English communication, and daily overlap with US Eastern business hours, in a fast-paced delivery environment.

Qualifications

• 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.

Responsibilities

• Build and enhance large-scale interactive maps with layer controls and color-coding.
• Develop and maintain operational dashboards transforming data into usable UX.
• Implement accessible frontend experiences aligned with WCAG 2.1 AA.
• Work with geospatial data to create responsive map-based experiences.
• Participate in beta feedback, defect resolution, and UI improvements.
• Collaborate via designs, code reviews, Git workflows, and ticket-based processes.
• Leverage AI-assisted development tools to boost efficiency and code quality.

Skills

Frontend development

React or Angular

Data visualizations

WCAG 2.1 AA

Git workflows

AI-assisted development tools

Structured delivery processes

English communication

US Eastern overlap

Education

Bachelor’s degree in CS/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.