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Mistral Cloud - Software Engineer, Backend

in 10115, Berlin, Berlin, Deutschland
Unternehmen: Dormont Manufacturing Co
Vollzeit position
Verfasst am 2026-06-30
Berufliche Spezialisierung:
  • Software Entwicklung
    Backend Entwicklung, Cloud-Ingenieur - Software, DevOps Ingenieur, Software-Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 55000 - 80000 EUR pro Jahr EUR 55000.00 80000.00 YEAR
Stellenbeschreibung

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on (Sie können sich bewerben oder uns per E-Mail kontaktieren in dem Sie die untenstehende Online-Bewerbungsbox verwenden).

Role summary

We’re looking for passionate and talented software engineers to join our team. As a Backend Engineer, you’ll play a key role in developing the core systems that drive our Cloud solutions. Your work will involve building robust, high-performance backend systems and APIs to support our rapidly expanding enterprise user base.

More information on Mistral Cloud here: /compute

What you will do

Depending on your skills and field of expertise, you will be involved in key components of our technology, including:

Backend Development
  • Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
  • Ensure high performance and reliability across our distributed systems.
  • Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.
System Architecture
  • Design and implement efficient, secure and scalable architectures that support our fast-growing products.
  • Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
Code Quality
  • Write clean, maintainable and well-documented code.
  • Participate in code reviews and contribute to technical standards and best practices.
Cross-functional Collaboration
  • Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features.
  • Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
Problem-Solving & Innovation
  • Tackle complex engineering challenges, from distributed systems to AI product integration.
  • Stay up-to-date with new technologies (AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.
About you

Degree in Computer Science, Software Engineering, or equivalent practical experience.

5+ years of relevant work experience.

Proficiency in Golang or another backend language (Python, Rust…) — engineers are assessed in their preferred language during a live coding session.

Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.

Experience with cloud-based (AWS, GCP, Azure) and bare-metal infrastructure.

Strong problem-solving abilities and attention to detail.

Ownership mindset capable of shipping end-to-end features with minimal oversight.

Excellent communication skills and collaborative attitude.

Team-oriented, low-ego mindset and curiosity for learning.

Now, it would be ideal if you had experience with:

  • Front-end development (Typescript, React, NextJS…) or full-stack exposure.
  • Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform…).
  • Observability and monitoring tools (Prometheus, Grafana, Datadog…).
Hiring Process
  • Introduction Call - 45 min
  • Technical Interview / Live Coding - 45 min
  • Technical Interview / System Design - 45 min
  • [OPTIONAL] Project Deep Dive - 60 min
  • Culture-fit Discussion - 30 min
  • References
Our Culture
  • Reason with rigor
  • Are you audacious enough?
  • Make our customers succeed
  • Ship early and accelerate
  • Leave your ego aside
Engineering blog

Our first Engineering blog post is live, you can check it out here!

Location & Remote

This role is primarily based at one of…

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