Fullstack Engineer

Overview

A fast growing industrial analytics software startup is hiring multiple Full Stack Engineers to help expand and scale its production analytics platform used by manufacturing and operations teams. This is a hands on product engineering role focused on building customer facing features, strengthening platform performance, and extending core data and visualization capabilities across the stack. You will work closely with Product, UX, and Data Services teams to design, build, and ship features that turn complex operational and machine data into actionable insights for end users.

This is an on-site role in Nashua, NH.

• Design and implement backend queries and APIs to surface analytics and operational insights
• Build and enhance Graph
  
  QL and REST services that support product features and reporting workflows
• Connect APIs to modern front end frameworks and deliver responsive high performance UI components
• Translate UX and product designs into production ready interfaces
• Develop interactive dashboards and visualizations using dynamic charting libraries
• Optimize application performance across desktop and mobile environments
• Integrate with distributed data stores and search platforms
• Participate in architecture discussions, code reviews, and technical design decisions
• Test and validate features across platforms to ensure reliability and scalability

You should have 5 or more years of experience building and shipping production software using most or all of the following

• React and Node
• Graph
  
  QL and or REST APIs
• Python frameworks such as Flask or Django
• Data stores such as Elasticsearch, Mongo
  
  DB, or Cassandra
• Interactive visualization libraries such as D3 or similar
• Role based access control in AWS, Azure, or Google Cloud
• Docker and Kubernetes for containerized deployment
• Git based version control workflows

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Experience working on analytics, data, or dashboard focused products
• Experience in manufacturing, IoT, or operational data environments is a plus
• Startup or early stage product experience is helpful