Cloud Platform Engineer

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
Within the Software Team and, more specifically, within the Data/Platform team, we aim to add more business value to the perception data coming from our Edge Computing Units by combining it with Customer specific context and needs. The Data/Platform team also ensures that we use the best hybrid architecture to both meet the real-time nature of our technology and scale for very large deployments m2+ covered areas).
Responsibilities 
We are seeking a Cloud Platform Engineer to design, build, and operate the next-generation hybrid cloud infrastructure powering our SaaS platform. You will work at the crossroads of Kubernetes, AWS, and high-performance data streaming, ensuring that our system is secure, reliable, resilient, and scalable. This role is critical to meeting the stringent cybersecurity, privacy, and availability requirements of our customers (airports, car manufacturers, etc.), while also enabling a seamless and state-of-the-art user experience.
Requirements for the role
Key Responsibilities
Architecture & Deployment Design and operate data services within hybrid Kubernetes clusters (EKS on-prem and in the cloud) to ingest, process and expose added value KPIs from the perception software stack (near to real-time and long term aggregated data). Contribute directly to our existing K3s-based deployments (full on-prem and hybrid with EC2 nodes), supporting existing and adding new features. Deploy and scale real-time and batch workloads for lidar data processing and storage.
Security & Compliance Enforce privacy by design by complying with strict cybersecurity standards. Manage authentication and authorization with AWS Cognito and related services. Implement network segmentation, encryption, and monitoring to meet enterprise-grade security requirements.
Reliability & Resilience Build highly available, self-healing infrastructure across on-prem and cloud environments. Design resilient and observable services. Automate deployments and upgrades using Helm/Helmfile, and CI/CD pipelines and k8s Controllers/Operators patterns
Scalability & Performance Provides solutions for real-time processing and large-scale data storage. Design solutions for efficient streaming, ingestion, and long-term analytics. Ensure secure integration with external BI tools and visualization software.

What We're Looking For
Strong experience with Kubernetes, including hybrid/on-prem deployments. Hands-on mastery of Kubernetes internals to debug, extend, and support existing K3s clusters. Proficiency with AWS cloud services and terraform (Cognito, S3, networking, IAM, etc.) Expertise in security best practices, including customer isolation and compliance frameworks. Familiarity with CI/CD, Helm, and GitOps workflows. Knowledge of Kubernetes controllers/operators patterns. Experience with high-throughput data processing and distributed storage solutions. Knowledge of monitoring/observability stacks (Prometheus, Grafana, ELK, etc.).
Nice to Have
Background in real-time data streaming (Kafka, Kinesis with Flink or equivalent). Experience with edge computing and hybrid architectures. Exposure to cybersecurity certifications or audits (ISO 27001, SOC2, etc.). Interest in 3D data, computer vision, or lidar technologies.
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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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