Platform/devops Engineer Internship
Outsight
Platform/DevOps Engineer Internship
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.
Outsight's SHIFT SaaS product is designed to run in a multi-tenant cloud environment, where each customer may have dedicated resources or shared components in a centralized architecture. Managing software delivery and monitoring in such an environment requires strong automation, tenant-aware observability, and scalable DevOps practices. Currently, application deployment and monitoring are evolving toward a fully automated CI/CD pipeline approach. In addition, the observability of customer resources, must be designed to ensure visibility, security, and performance. The intern will contribute to the design and development of CI/CD pipelines and monitoring frameworks to support the SHIFT SaaS model in a multi-tenant context. The project will include: enhancing GitLab pipelines (and/or cloud-native pipelines) to handle lift-and-shift processes and continuous deployments; building observability stacks using Grafana, Prometheus, and Loki, capable of either tenant-isolated monitoring or a centralized monitoring approach; exploring the integration of cloud-native monitoring services (e.g., AWS CloudWatch, Managed Grafana) with other tools. This internship is ideal for a student passionate about Kubernetes, automation, CI/CD, and monitoring, and who wants to gain hands-on experience in solving real SaaS multi-tenant challenges.
Design and implement enhancements to CI/CD pipelines (GitLab, AWS-native pipelines) for SaaS deployments. Manage and enhance Kubernetes deployments using YAML files, Helm packages and ArgoCD pipelines. Build and configure observability stacks (Prometheus, Grafana, Loki, etc.) for tenant-specific or centralized monitoring. Explore and integrate cloud-native monitoring services with third-party tools. Document the architecture, implementation, and outcomes of the project in a structured report.
How to design and implement CI/CD pipelines for SaaS products in multi-tenant environments. Best practices for observability and monitoring across tenant-isolated or centralized models. Running and scaling workloads on Kubernetes in hybrid cloud environments. Hands-on work with Grafana, Prometheus, Loki, and cloud-native monitoring services. Exposure to real-world SaaS delivery challenges.
Best practices in AWS cloud infrastructure management. End-to-end deployment of hybrid cloud solutions. Real-world experience with Infrastructure-as-Code and automation pipelines. Exposure to Kubernetes and platform integration.
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.