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Software Engineer, Cloud Deployments

Mistral AI

Software Engineer, Cloud Deployments

Mistral AI

New York, NY

·

On-site

·

Full-time

·

1w ago

Required Skills

Backend development

Python

Distributed systems

AWS

GCP

Azure

Docker

Kubernetes

Terraform

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 as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.

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 https://mistral.ai/careers.

Role Summary:

We are seeking experienced Senior Software Engineers to join our Cloud Deployments team. In this role, you will join a new team dedicated to deepening and expanding our integration with major cloud providers, ensuring seamless, native, and scalable deployment of our AI products (AI Studio, APIs, SDKs, etc.) within their ecosystems. You will work closely with hyperscalers engineering teams, internal stakeholders (science, product, program management), and external partners to define standards, build integrations, and automate deployment workflows. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and influence cloud providers’ roadmaps.

What you will do

  • Contribute to Cloud Provider Integrations: Execute technical strategies for integrating Mistral’s products (AI Studio, APIs, SDKs) natively into cloud provider ecosystems (Azure, AWS, GCP, etc.), starting with Azure.
  • Build Scalable Integrations: Help develop a repeatable, automated framework to onboard new cloud providers quickly, reducing friction for both customers and internal teams.
  • Collaborate with Hyperscalers: Work with cloud providers’ engineering teams to define interfaces, standards, and best practices for AI model deployment and integration.
  • Enable Smooth Customer Onboarding: Ensure customers can onboard Mistral’s AI Studio suite directly from cloud providers’ platforms, with a focus on simplicity, reliability, and performance.
  • Cross-functional Collaboration: Work with internal teams (Deployment Platform, Product Engineering, Solutions Architecture) and external stakeholders to align on roadmaps, timelines, and technical trade-offs.
  • Automate and Optimize: Contribute to building tooling and processes to automate packaging, deployment, and monitoring of Mistral’s products across cloud environments.
  • Technical Advocacy: Participate in technical discussions with cloud providers, helping to influence their roadmaps and ensure our products are optimized for their platforms.

About you

  • 5+ years of relevant professional experience in complex infrastructure environments.
  • Strong proficiency in backend development (Python ideally, or Go, Kotlin, Scala, Java, etc.,) and experience with complex, distributed systems.
  • Deep knowledge of cloud ecosystems (AWS, GCP, Azure), containerization (Docker), and orchestration (K8s, Helm, Terraform) .
  • Ability to work with product, engineering, and business teams, as well as external partners.
  • Ability to communicate with influence

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About Mistral AI

Mistral AI

Mistral AI

Series B

Mistral AI is a French artificial intelligence company that develops and provides large language models and AI solutions. The company focuses on creating efficient and powerful AI models for various applications.

51-200

Employees

Paris

Headquarters

$6.0B

Valuation

Reviews

4.2

2 reviews

Work Life Balance

3.5

Compensation

3.5

Culture

3.5

Career

3.5

Management

3.5

80%

Recommend to a Friend

Pros

European-based AI solution

Supports digital sovereignty

EU-based alternative to geofenced AI models

Cons

No specific cons mentioned

Limited feedback available

Insufficient review data

Salary Ranges

38 data points

Senior/L5

Senior/L5 · Solution Architect

1 reports

$241,500

total / year

Base

$210,000

Stock

-

Bonus

-

$241,500

$241,500

Interview Experience

7 interviews

Difficulty

3.6

/ 5

Duration

21-35 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Coding Round

4

ML Theory Assessment

5

LLM Systems/Design Interview

6

Project Deep Dive

7

Technical Interview

Common Questions

Coding/Algorithm

ML Theory

System Design

LLM Systems Design

Project Experience