FULL STACK ENGINEERING APPRENTICE
il y a 6 jours
Join to apply for the FULL STACK ENGINEERING APPRENTICE role at STATION F. Symbiose is a venture‑backed deeptech company at the crossroads of space‑tech and nature‑tech, pioneering the use of AI, remote sensing, and High‑Performance Computing (HPC) to transform how forests are monitored, managed, and valued. By fusing diverse Earth Observation data — hyperspectral, LiDAR, radar, and optical imagery — Symbiose delivers precise, real‑time insights into forest health, carbon dynamics, and climate resilience. Our AI‑driven platform empowers forest owners, investors, and insurers with actionable intelligence to accelerate FSC certification, enhance transparency, and drive a nature‑positive economy. Key Responsibilities Contribute to backend and frontend development under the guidance of senior engineers. Assist in integrating geospatial, remote sensing, or ML outputs into APIs and web applications. Participate in the development and maintenance of data pipelines and ETL workflows. Help build and improve web interfaces using React and TypeScript. Support the integration of geospatial visualization tools (e.g. Mapbox GL or equivalent). Write clean, well‑documented, and tested code. Participate in code reviews, QA testing, and agile development cycles. Learn and apply best practices in cloud‑native and scalable software development. Preferred Experience Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Data Engineering, or a related field. First hands‑on experience (academic or personal projects) in full‑stack development. Familiarity with JavaScript / TypeScript and modern frontend frameworks (React preferred). Basic understanding of backend development concepts (APIs, databases). Exposure to SQL and relational databases (PostgreSQL is a plus). Comfortable working in English in a technical environment. Nice to Have Experience with Python. Interest in geospatial data, remote sensing, or climate tech. Familiarity with Docker, cloud platforms, or Kubernetes (even at a basic level). Experience with maps, data visualization, or geospatial libraries. Personal projects, GitHub repositories, or open‑source contributions. Soft Skills Curious and eager to learn in a fast‑paced technical environment. Structured, detail‑oriented, and motivated to write quality code. Proactive mindset and willingness to ask questions. Strong team spirit and interest in interdisciplinary challenges. Recruitment Process Step 1: 30‑minute screening call with our People team. Step 2: Take‑home case study. Step 3: Feedback & culture‑fit interview. Step 4: Onboarding at Station F. Additional Information Contract Type: Apprenticeship (between 6 and 12 months). Start Date: 01 January 2026. Location: Paris (possible partial remote). #J-18808-Ljbffr
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