Senior Backend Engineer

Posted 2 Days Ago
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Paris, Île-de-France, FRA
Hybrid
Senior level
Information Technology • Software
The Role
Build and optimize high-availability backend microservices, protocol engines, and streaming communication layers that expose high-throughput 3D LiDAR spatial context to real-time applications. Implement MCP servers, JSON schemas and tool definitions for LLM agents, ensure robust websocket/gRPC delivery, and standardize APIs for decoupled consumption by Spatial Apps.
Summary Generated by Built In

Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data.

Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction.

 

Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice) & Hong Kong. To support our global outreach, we also operate a commercial office in Spain.

 

You can find below an interesting link about who we are and what we do :

Insights about Outsight

 

Our Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across four continents, including the most renowned hubs celebrated for their operational excellence and exceptional passenger experience.  We also deploy our solutions in other markets such as Tourism, Retail and Sports.

 

Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW.

 

Context

 

This role focuses on bridging data warehouse storage with live execution engines. You will build and optimize the high-availability API layers, protocol engines, and streaming communication paths that expose core spatial context to downstream real-time applications.

 

Responsibilities

 

  • Develop and scale concurrent backend microservices responsible for high-throughput spatial data querying.

  • Build, secure, and maintain high-performance context communication engines and Model Context Protocol (MCP) servers.

  • Optimize streaming data pipelines and ensure robust websocket/gRPC data delivery mechanisms.

  • Standardize organizational API structures, ensuring a decoupled architecture where the Spatial Apps group can consume data seamlessly.

Requirements for the role

  • You  must have native experience building Model Context Protocol (MCP) implementations, tool definitions, and JSON schemas that allow autonomous LLM agents to perform zero-shot data discovery. 

  • High proficiency in leveraging automated execution frameworks to minimize administrative engineering boilerplate is required.

 

Why join us?

 

Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows.

 

As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents.

 

Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics.

 

Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer.

 

Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.

Skills Required

  • Native experience building Model Context Protocol (MCP) implementations, tool definitions, and JSON schemas for autonomous LLM agents' zero-shot data discovery.
  • High proficiency with automated execution frameworks to minimize administrative engineering boilerplate.
  • Experience developing and scaling concurrent backend microservices for high-throughput spatial data querying.
  • Experience building and maintaining high-availability API layers and protocol engines.
  • Experience optimizing streaming data pipelines and ensuring robust websocket and gRPC data delivery mechanisms.
  • Ability to standardize organizational API structures to enable decoupled consumption by downstream applications.
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The Company
92 Employees
Year Founded: 2019

What We Do

Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data. Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction. Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, and Sophia-Antipolis (Nice). To support our global outreach, we also operate commercial offices in the UK, Belgium, Spain, Hong Kong, and Singapore. We believe that accelerating the adoption of LiDAR technology through robust and scalable software solutions will significantly contribute to making the world smarter, safer and more sustainable

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