Pre-Sales Solution Architect – AI Infrastructure

🕒 August 4

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔍 Pre-sales Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• 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 technical presentations, demos, and workshops • Represent Mirantis at conferences, technical events, and industry communities • Create technical content, demos, and solution patterns to accelerate adoption • Lead customer proof-of-concept engagements and prototype deployments • Demonstrate operational workflows for AI infrastructure and MLOps • Collaborate with product management, engineering, and marketing teams • Provide field insights influencing product roadmap and go-to-market strategy • Build reusable architectures and technical assets

🎯 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 Kubernetes container orchestration, multi-cluster management, Helm, Operators, and CRDs • Experience with AI/ML deployment pipelines, model serving and inference platforms, and GPU-accelerated workloads • Experience with Kubeflow, MLflow, Ray, or similar frameworks • Experience with GitOps workflows and infrastructure automation • Experience with AWS, Azure, GCP, hybrid cloud, and on-premises infrastructure • Experience with 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 have: CNCF ecosystem experience, AI infrastructure or MLOps platform experience, Kubernetes or cloud certifications, and open-source community participation

🏖️ Benefits

• Work with an established Silicon Valley leader in the cloud infrastructure industry • Work with passionate, talented and engaging colleagues • Be part of cutting-edge, open-source innovation • 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