About The Position
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. 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.
Requirements
- 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.
- 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.
- 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 Haves
- CNCF ecosystem experience
- AI infrastructure or MLOps platform experience
- Kubernetes or cloud certifications
- Open source community participation
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
Benefits
- Professional development and training
- Attend conferences and working groups
- Company outings, happy hours, hackathons, and tech talks
- Competitive compensation package with a strong benefits plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
