Entrepreneurship in the territories: is it the right time?
Role Overview
At Symbiose, we build the infrastructure layer to understand and value forests at scale using Earth Observation, AI, and High-Performance Computing (HPC).
Our platform processes large-scale satellite (Sentinel, LiDAR), geospatial, and climate datasets to produce forest growth models, biomass estimations, and climate risk indicators.
We are looking for a Senior DevOps / Platform Engineer to take ownership of the infrastructure powering these systems â across cloud, data pipelines, backend services, and HPC workloads.
This is not a standard DevOps role.
You will operate a data-intensive, geospatial, and compute-heavy platform in production.
Key Responsibilities
Infrastructure & Cloud
- Own and operate infrastructure across AWS and Azure
- Design, deploy, and maintain production-grade systems
- Manage Infrastructure as Code (Terraform)
- Ensure security, IAM, networking, and cost control
Backend & Platform Support
- Support production environments across Python, Node.js, and GraphQL services
- Ensure reliability of APIs and backend systems
- Handle asynchronous workloads and batch processing systems
Data & Geospatial Infrastructure
- Design and optimize data pipelines (EO, LiDAR, climate datasets)
- Maintain data lake architectures (S3, Parquet, GeoParquet)
- Optimize PostgreSQL / PostGIS performance
- Support geospatial and raster-heavy workflows (GeoTIFF, COG, MBTiles/PMTiles)
MLOps & Compute Systems
- Enable deployment and scaling of ML models (Python, PyTorch)
- Support training and inference pipelines
- Contribute to model lifecycle and monitoring
HPC & Distributed Workloads
- Operate and optimize HPC / distributed compute environments
- Handle job orchestration, scheduling, and parallel workloads
- Optimize performance, resource allocation, and compute efficiency
- Conduct benchmarking and scaling analysis
Observability & Reliability
- Implement monitoring, logging, and alerting (Prometheus, Grafana)
- Improve fault tolerance and incident response
- Ensure reliability of long-running data and compute jobs
