Supernormal

Backend Software Engineer

🇸🇪 Stockholm, SE Hybride IT Temps plein Publié Avr 24, 2026
LieuStockholm, SE
Mode de travailHybride
ContratTemps plein
CatégorieIT
Catégorie ITIngénieur Back End
Publié24 avril 2026
Dernière vérification7 mai 2026

About Supernormal

Work shapes who we are. It’s how we grow, contribute, and make an impact. But for many, work still feels like a grind. Even in the digital age, productivity tools often add more friction than flow. At Supernormal, we are working to make work better. We build AI-powered tools that streamline workflows, boost collaboration, accelerate impact, and make the super, normal.

The Role

We’re looking for a talented and motivated Backend Software Engineer who can pair deep technical expertise with leadership that elevates the entire team. You’ve guided complex projects from idea to impact, and you know how to set direction without losing sight of the details. You’ll be at the center of Supernormal’s technical future, shaping our AI backend while mentoring others to do the best work of their careers.

This is a high-ownership, high-impact role. You won’t be a cog in a large machine — you’ll be a key contributor who shapes the architecture and quality of our backend from the ground up. You’ll report to the Head of Engineering and work closely with the full engineering team, product, and design.

What you’ll work on

  • Design, build, and maintain scalable, reliable backend services and APIs that power Supernormal’s core product.
  • Own backend features end-to-end — from technical design through implementation, testing, and production monitoring.
  • Collaborate with frontend engineers and product to define and implement clean, well-documented API contracts.
  • Identify and address performance bottlenecks, reliability issues, and scalability concerns proactively.
  • Participate in code reviews, contribute to engineering standards, and help maintain a high-quality, well-tested codebase.
  • Contribute to infrastructure decisions: cloud architecture, deployment pipelines, observability, and on-call practices.

Avant de partir

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