5 open TypeScript positions
This role involves building a structured, queryable system to capture and annotate network engineering diagnostic reasoning for machine learning models. The engineer will collaborate with network engineers and ML researchers to create a Git-like platform for network engineering data, enabling autonomous network management.
The Software Engineer will focus on shaping customer interaction with the company's dashboard by creating intuitive and performant data visualizations. Key responsibilities include ensuring real-time insights into device health and performance, improving render/load speeds, and building reusable visualization components. The role utilizes a modern stack including TypeScript, React, and GraphQL to deliver elegant systems at scale.
As a Product Engineer at Meter, you will shape how companies visualize and interact with networks using intuitive, elegant, and performant experiences on the customer dashboard. Key responsibilities include creating real-time data visualizations, improving render/load/scroll performance, and building reusable visualization components. You will work primarily with TypeScript, React, Vercel, and GraphQL to deliver high-quality, well-tested code.
Meter is seeking a Full Stack Engineer to drive the technical vision and development of the Connect platform, focusing on improving customer experience and solving complex scaling challenges. Responsibilities include integrating third-party APIs, displaying abstract data, and building automation using Go, Postgres, GraphQL on the backend, and React/TypeScript on the frontend. The ideal candidate thrives in an experimental environment, takes ownership, and drives technical decisions across the stack.
The Full Stack Engineer for Command will own the end-to-end product development for Meter's generative UI interface, which allows users to interact with network infrastructure using natural language. Key responsibilities include designing and implementing frontend features using Next.js/React/TypeScript and building/scaling backend services using technologies like Planetscale DB and integrating LLMs into user workflows. This deeply cross-functional role requires shaping the direction of a new kind of intelligent UI by working closely with model, application engineering, and operations teams.