Ingénieur DevOps / Plateforme Senior – Infrastructure IA, géospatiale et HPC - Paris

Symbiose Management

💡 Produits ou services responsables
CDI
Localisation Paris, France
Impact
Télétravail partiel possible
35000 - 80001€ brut (Annuel)
De 5 à 10 année(s) d'exp.
Publiée le 26/03/2026

Description de la mission

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 — 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

Profil recherché

Qualifications

  • 5+ years in DevOps / Platform Engineering / Cloud Infrastructure
  • Strong experience with:
  • AWS and/or Azure (compute, storage, networking)
  • Docker (required) and containerized environments
  • Terraform (or strong IaC experience)
  • CI/CD pipelines (GitLab CI preferred)
  • Linux systems and scripting
  • Experience supporting data-intensive systems or pipelines
  • Comfortable working with Python and/or Node.js environments
  • Ability to work on or quickly adapt to HPC and distributed systems
  • Strong ownership mindset and autonomy

Strong Pluses

  • Experience with PostgreSQL / PostGIS
  • Exposure to geospatial systems or EO data
  • Experience with:
  • Airflow / workflow orchestration
  • Spark / PySpark
  • MLflow or model tracking systems
  • Ray or distributed compute frameworks
  • Experience optimizing compute-heavy or batch workloads
  • Familiarity with GeoParquet, COG, or large raster pipelines

Hiring Process

Step 1: 30-minute screening call

Step 2: Technical questions (async)

Step 3: Deep-dive discussion (architecture & systems)

Step 4: Fast onboarding 🚀

Process can be completed within 1–2 weeks

Symbiose Management

At Symbiose, we build deeptech solutions (AI, satellite data, HPC) to help understand, value, and protect forests, enabling better decisions for climate resilience and sustainable management 🌳🛰️

💡 Produits ou services responsables

La mission de cette entreprise est de concevoir des produits ou proposer des services éco-responsables alignés avec les besoins de la transformation écologique et solidaire.

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