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Pre-Sales Solution Architect – AI Infrastructure (remote in the EU)
Mirantis —Zürich, ZH
By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable,…
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Pre-Sales Solution Architect – AI Infrastructure (remote in the EU)

Mirantis -
Zürich, ZH

Postuler rapidement

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Français
Systèmes d'exploitation
Vente
Google Cloud Platform
AWS

Description complète du poste

Company Description

About Mirantis

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

Job Description

We are seeking a dynamic and technically strong Sales Engineer / Pre-Sales Solution Architect to help customers design and deploy next-generation AI infrastructure using the Mirantis k0rdent platform in the French speaking areas of Europe.

In this role, you will work closely with our European enterprise customers, platform engineering teams, and AI practitioners to architect solutions that enable scalable AI workloads, modern developer platforms, and Kubernetes-based infrastructure across hybrid and multi-cloud environments.

You will act as a trusted technical advisor, bridging customer requirements, business outcomes, and Mirantis technology.

Key Responsibilities

Customer Engagement

Partner with account teams to support strategic enterprise opportunities.
Lead technical discovery sessions to understand customer infrastructure, AI, and platform engineering needs.
Serve as a trusted advisor to CTOs, platform teams, and AI engineering leaders.

Solution Architecture

Design AI infrastructure architectures using Mirantis k0rdent and open-source ecosystem technologies.
Translate customer requirements into scalable Kubernetes-based platform solutions.
Develop reference architectures and deployment patterns for AI workloads.

Technical Evangelism

Deliver compelling technical presentations, demos, and workshops.
Represent Mirantis at conferences, technical events, and industry communities.
Create technical content, demos, and solution patterns that accelerate adoption.

Proof of Concept & Validation

Lead customer proof-of-concept engagements to validate solution fit.
Prototype deployments of AI workloads and developer platforms.
Demonstrate operational workflows for AI infrastructure and MLOps.

Cross-Functional Collaboration

Work closely with product management, engineering, and marketing teams.
Provide field insights that influence product roadmap and go-to-market strategy.
Help build reusable architectures and technical assets.

Qualifications

Required Experience

5+ years in Sales Engineering, Solutions Architecture, or Technical Consulting in France or other French speaking countries in Europe.
Experience supporting enterprise sales for cloud-native or infrastructure platforms.
Hands-on experience designing or operating Kubernetes-based systems.

Technical Skills

Strong expertise in several of the following areas:

Cloud Native Infrastructure

Kubernetes
container orchestration
multi-cluster management
Helm, Operators, CRDs

AI Infrastructure & MLOps

AI/ML deployment pipelines
model serving and inference platforms
Kubeflow, MLflow, Ray, or similar frameworks
GPU-accelerated workloads

Platform Engineering

GitOps workflows
infrastructure automation

Cloud & Hybrid Infrastructure

AWS, Azure, GCP
hybrid cloud
on-prem infrastructure

DevOps & Observability

CI/CD pipelines
infrastructure as code
monitoring and observability platforms

Key Traits We Value

Strong consultative mindset and customer empathy
Ability to explain complex systems clearly
Hands-on technical curiosity and experimentation
Passion for open source and emerging infrastructure technologies
Entrepreneurial mindset with a bias toward action

Nice to Have

CNCF ecosystem experience
AI infrastructure or MLOps platform experience
Kubernetes or cloud certifications
Open source community participation

Additional Information

What does Mirantis offer you?

Work with an established Silicon Valley leader in the cloud infrastructure industry;
Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
Be a part of cutting-edge, open-source innovation;
Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
Professional development and training;
Attend conferences and working groups;
Company outings, happy hours, hackathons, and tech talks;
Receive a competitive compensation package with a strong benefits plan.

Actual base salary varies based on factors, including but limited to, relevant sill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location

It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]

By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.

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