Senior Full-Stack Engineer: AI-Powered Sports Analytics

Veo

København

On-site

DKK 700,000 - 900,000

Full time

2 days ago
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Job summary

Veo, based in Copenhagen, is seeking a Senior Full-Stack Software Engineer to join the Coaching, Insights and Analysis group. You will help turn match data and video into products coaches rely on daily, spanning the frontend and backend with a cross-functional team.

You’ll work across the stack, collaborating with engineers, product managers and designers to craft scalable interfaces, robust services and data models, while prioritizing performance, reliability and maintainability.

Qualifications

  • 5+ years of software engineering experience.
  • Experience building full-stack apps with Python/Django and TypeScript/React.
  • Comfort with using modern AI tools in development workflows.
  • Strong product mindset and ability to deliver user value.

Responsibilities

  • Contribute across the full stack, building intuitive UIs while developing robust backend services and APIs.
  • Take part in the full product lifecycle—from ideation to deployment and iteration.
  • Build and maintain scalable systems supporting Veo's growing platform.
  • Contribute to architectural decisions and data modeling guiding long-term product direction.
  • Ensure performance, reliability, and maintainability of the systems owned by the team.
  • Collaborate with AI and platform teams to integrate insights and video features.
  • Foster a healthy engineering culture through collaboration and code reviews.

Skills

Python
Django
PostgreSQL
TypeScript
Node.js
React
CI/CD
Testing
Architecture

Job description

Veo, based in Copenhagen, is seeking a Senior Full-Stack Software Engineer to join the Coaching, Insights and Analysis group. You will help turn match data and video into products coaches rely on daily, spanning the frontend and backend with a cross-functional team.

You’ll work across the stack, collaborating with engineers, product managers and designers to craft scalable interfaces, robust services and data models, while prioritizing performance, reliability and maintainability.

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