Software Engineer - Backend

Responsibilities

Develop and maintain high-impact features for clients and internal teams.

Drive technical and architectural decisions.

Ensure overall code quality (tests, best practices, reviews).

Share your knowledge and mentor junior developers to help them grow.

Client APIs

Design, maintain, and scale the APIs that deliver data to clients and internal consumers.

Data ingestion & provider integration

Integrate and reconcile sports data from multiple third‑party providers, handle schema design for competition‑specific rules, and ensure data consistency across sources.

Operations tooling

Centralized internal platform for managing matches, line‑ups, data validation, and operational workflows used daily by the ops team.

Multi‑sport expansion

Extend the platform to new sports (basketball and beyond) with new data models, APIs, and pipelines adapted to each sport's specificities.

Service architecture

Design and build backend services as part of an ongoing effort to decompose a monolithic platform into well‑scoped, independent services.

Shared libraries & developer experience

Maintain core Python libraries (utilities, models, HTTP clients) used across the company, and drive code quality improvements (testing, refactoring legacy code, tooling).

Desired profile

Must have

5+ years of experience in software engineering.

Strong expertise in Python and backend development.

Ability to drive technical decisions and justify them.

Solid understanding of distributed architectures, databases, and data modeling/schema design.

Experience with a Python web framework (Django, FastAPI, or similar).

Solution‑oriented mindset, eagerness to learn and to share knowledge.

Nice to have

Experience with cloud environments (preferably AWS).

Knowledge of analytical databases (Redshift, BigQuery, ClickHouse, …).

Experience with data processing libraries such as pandas or polars.

Experience with data quality challenges, such as duplicates, consistency checks, or merging records from multiple sources.

Experience with service‑oriented architectures and splitting monolithic systems.

Familiarity with IaC tools (Pulumi, Terraform).

Interest in sports or sports analytics.

Your work powers decisions made by top professional clubs and leagues worldwide.

A multi‑sport platform expanding to new sports (basketball, US football), with real technical challenges around scalability and data modeling.

Small enough to have real ownership and impact, growing fast enough to keep things interesting.

Position based in Paris (preferred), but open to full remote for highly experienced profiles.