Context
SkillCorner is growing and structuring its tech teams.
Within the Software Application team, you will contribute to implementing features for our clients and internal teams, working closely with the Product team.
You will join a fullstack team (backend, frontend, APIs, pipelines, video, analytics, …) where each developer brings expertise while collaborating on cross-functional projects.
Responsibilities
Develop and maintain high-impact features for clients and internal teams.
Contribute to technical and architectural decisions.
Ensure overall code quality (tests, best practices, reviews).
Work closely with the Product team and other technical teams.
Share your knowledge and mentor junior developers to help them grow.
Contribute across a wide scope: backend, APIs, data pipelines, video processing, operations tools, analytics, …
Example projects
Operations: centralized internal platform (match creation, line-ups, video event annotation, operational requests tracking, pipeline incident monitoring, …).
ML/CV metrics integration: ingestion, processing, delivery and performance optimization (response times, compute time, scalability, …).
Client APIs: design and evolution of APIs exposed to our clients.
Analytics: ensuring production performance of calculations and providing a complete environment for testing and iterating on new metrics/aggregations.
Video processing: building blocks for re-encoding, transformations, annotation, delivery, and storage, ….
Why join us?
A broad scope, with diverse projects (client-facing products, internal ops, video, analytics, …).
Strong interaction with the Product team, at the core of client value delivery.
A stimulating environment in a fast-growing company.
Competitive compensation adapted to your experience.
Position based in Paris (preferred), but open to full remote for highly experienced profiles.
Must have
7+ years of experience in software engineering.
Strong expertise in Python, backend development, and software engineering in general.
Ability to drive technical decisions and justify them.
Solid understanding of distributed architectures, databases, and data modeling/schema design.
Solution-oriented mindset, eagerness to learn and to share knowledge.
Nice to have
Knowledge of frontend development (Angular, React, or equivalent).
Experience with cloud environments (preferably AWS).
Knowledge of analytical databases (Redshift, BigQuery, ClickHouse, …).
Experience in video processing (ffmpeg, nvidia nvdec, …).
Interest in machine learning, computer vision, or sports.
Entretien téléphonique : 20/30min
Entretien technique : 1h
Test Technique
Entretien culture fit : 1h + rencontre avec les équipes
Rencontrez Henri, Ingénieur logiciel
Rencontrez Pierre, Data Scientist
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