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Software Platform Engineer

A leader in Spatial Intelligence using 3D LiDAR data to track motion of people and vehicles for transportation hubs, sports venues, and industrial sites.
DevOps
Mid-Level Software Engineer
Hybrid
51 - 100 Employees
3+ years of experience
AI · Enterprise SaaS

Job Description

Outsight, a pioneering leader in Spatial Intelligence with 73 patents, is seeking a Software Platform Engineer to join their international team. The role focuses on deploying and managing advanced LiDAR 3D real-time processing software through Kubernetes infrastructure.

The position offers an opportunity to work with cutting-edge technology in spatial intelligence, where you'll be responsible for architecting and maintaining Kubernetes clusters across both on-premises and cloud environments. You'll be working with a modern tech stack including Vue3, ThreeJS, ExpressJS, Python, and various database technologies.

The ideal candidate will bring strong expertise in Kubernetes, container orchestration, and infrastructure management, combined with a solid understanding of real-time stream processing. You'll be part of a dynamic, experienced, and multidisciplinary team spread across global locations including Paris, San Francisco, Sophia-Antipolis, and Hong Kong.

This role offers significant growth potential in a fast-growing startup that has been recognized as a market leader by Gartner and awarded the Edge AI and Vision Product of the Year. You'll work with visionary management and have the opportunity to make a meaningful impact in the field of spatial intelligence, helping to improve operations and safety in transportation hubs, sports venues, and industrial sites worldwide.

The position requires a Master's degree and at least 3 years of relevant experience, offering a chance to work in a hybrid environment with a focus on innovation and technical excellence. Join a company that values diversity, promotes equal employment opportunities, and is making significant strides in spatial intelligence technology.

Last updated 5 months ago

Responsibilities For Software Platform Engineer

  • Architect, deploy, and sustain Kubernetes clusters in both on-premises and cloud platforms (Azure, AWS)
  • Work with development teams to integrate Kubernetes into software deployment processes
  • Oversee and refine both on-premises and cloud resources
  • Craft and enact strategies for hybrid deployments
  • Monitor and address issues related to performance, scalability, and security
  • Employ automation in deployment and orchestration
  • Stay updated with latest developments in Kubernetes, cloud technologies, and on-premises solutions

Requirements For Software Platform Engineer

Python
PostgreSQL
RabbitMQ
Redis
TypeScript
Kubernetes
  • Master's degree in Computer Science, Engineering, or related field
  • Minimum of 3 years of Kubernetes experience
  • Background in real-time stream processing
  • Proficiency in managing on-premises infrastructure and cloud services (Azure, AWS)
  • Expertise in Linux/Unix administration and scripting (Python, Bash)
  • Comprehensive understanding of network, security, and storage configurations
  • Exceptional problem-solving, analytical, and communication abilities
  • Eagerness to collaborate and innovate within a team environment

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