Application Developer

Trackonomy•Louisville, KY

About The Position

We are seeking a skilled Software Application Developer to join our team in building robust, user-friendly web applications focused on processing and visualizing complex IoT sensor data. The ideal candidate has up to 3 years experience and will possess strong full-stack development expertise, with an emphasis on Python-based backends, modern JavaScript frontends, and data-driven interfaces. This role involves bridging raw data sources with intuitive visualizations to deliver actionable business insights, particularly in areas such as fleet management and real-time journey analytics.

Requirements

Proven experience in full-stack development with Python (backend) and JavaScript (frontend).
Proficiency in SQL database management and query optimization.
Demonstrated experience with API integrations, particularly those requiring OAuth 2.0 authentication.
Familiarity with JavaScript-based visualization tools and libraries for maps, charts, and dashboards.
Strong understanding of UI/UX best practices, especially in data-heavy applications involving real-time or IoT data.
Experience in cross-browser and mobile-responsive testing.
Ability to work independently and collaboratively in a dynamic environment, with a focus on delivering high-quality, maintainable code.

Responsibilities

Design and implement backend solutions using Python, including the development of efficient server-side logic and data processing pipelines.
Develop responsive frontend components using JavaScript, incorporating popular visualization libraries and widgets (e.g., Google Maps, Chart.js, or equivalent tools) to create dynamic and interactive user interfaces.
Manage SQL databases, writing optimized queries to handle large datasets from IoT sensor streams, ensuring data integrity, performance, and scalability.
Integrate third-party APIs, including OpenAI, FleetAware (or similar fleet management services), and other external sources, utilizing secure authentication protocols such as OAuth 2.0.
Create robust Python wrappers and services that execute complex SQL queries, effectively bridging raw database storage with frontend visualization needs to support seamless data flow.
Apply strong intuition for user interface and user experience (UI/UX) design principles to transform intricate IoT data streams into clear, actionable business key performance indicators (KPIs) and narrative-driven journey visualizations.
Conduct thorough testing to ensure functional performance, compatibility, and responsiveness across multiple web browsers and mobile web interfaces.
Leverage AI-assisted development techniques (e.g., using AI copilots to reduce implementation time) and tools to rapidly prototype and build interactive UI components, enhancing productivity while maintaining code quality.