Senior Full Stack Engineer in Saratoga

We’re looking for a Senior Full Stack Engineer to architect and deliver the interactive tools and backend services that power our AI-driven networking platform. This role demands deep full‑stack expertise and an eye for building rich, map‑based UIs backed by scalable, real‑time systems. You’ll work in a collaborative, fast‑paced team alongside product designers, ML engineers, and wireless experts to craft performant, visually intuitive tools that drive real‑world telecom insights.

• Design, develop, and maintain interactive, geospatial web applications using React.js, Type Script, HTML/CSS, and mapping libraries like Mapbox GL and Leaflet.js.
• Build secure, scalable, and maintainable RESTful APIs and backend services using Node.js and Express.
• Develop dynamic dashboards and data visualizations that present insights from AI/ML models and large‑scale telemetry datasets.
• Integrate with and query data from MySQL, Click House (real‑time analytics), and Azure Synapse (big data warehousing).
• Implement efficient data pipelines and optimize performance for large datasets and spatial rendering.
• Own CI/CD processes and containerization using Docker and cloud‑based workflows (e.g., AWS, Azure).
• Collaborate with cross‑functional teams to translate business and ML model outputs into production‑grade user experiences.

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• 4+ years of experience in full‑stack development across production systems.

• Frontend:
  React.js, Type Script, JavaScript (ES6+), HTML, CSS.
• Mapping/UI:
  Mapbox GL JS or Leaflet.js for spatial visualization.
• Backend:
  Node.js, Express.js, API development.
• Practical experience with MySQL and at least one analytical database (Click House, Big Query, or Synapse).
• Familiarity with Docker, Git, and Dev Ops workflows.
• Deep understanding of data modeling, API security, and application performance.

• Experience building map‑based analytics tools with high‑performance rendering and custom vector tiles.
• Exposure to Click House or OLAP systems for high‑volume time‑series data.
• Experience with data‑intensive dashboards or streaming telemetry platforms.
• Familiarity with Azure Synapse, Kafka, or Airflow for ETL/data orchestration.
• Prior work on AI/ML‑based UI interfaces or tools that integrate inference pipelines.
• Knowledge of mobile telecom, networking, or geospatial systems is a strong plus.