Cette offre n'affiche pas de salaire. D'après 98 offres pour ce poste (Senior, France), le marché se situe autour de 460€/j (410€/j–510€/j).
The company is experiencing strong growth and is scaling its engineering teams to support increasing product usage and infrastructure complexity.
You will join a high-performance environment working on challenging topics such as distributed systems, high-volume data processing, real-time architecture, and system reliability.
Design and build robust, scalable APIs (FastAPI or similar frameworks)
Contribute to architectural decisions (microservices, event-driven systems, decoupled architectures)
Optimize performance and scalability
Design and maintain data pipelines (ETL/ELT)
Ensure data quality, reliability, and availability
Collaborate with Data and Product teams to deliver usable datasets
Follow and improve best practices (CI/CD, testing, code reviews)
Contribute to continuous improvement of the tech stack
Work closely with Product, Data, and Ops teams
Python (FastAPI, Django, Flask or equivalent)
Data: Airflow, dbt, Spark, BigQuery, Snowflake
Cloud: GCP / AWS
Databases: PostgreSQL, NoSQL
Messaging: Kafka / Pub/Sub
CI/CD: GitHub Actions / GitLab CI
Containerization: Docker / Kubernetes
7+ years of experience in Python development
Strong experience with a web framework (FastAPI is a plus)
OR solid experience in data engineering
Key requirement:
Previous experience in a scale-up or unicorn environment is strongly preferred
Comfortable with high-scale systems and performance challenges
Able to operate in fast-paced, sometimes ambiguous environments with strong autonomy
Strong ownership mindset: able to take topics end-to-end
Ability to structure and clarify complex problems
Product mindset with business impact awareness
Strong communication skills in cross-functional teams
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