Mirantis is hiring a Senior Solution Architect to develop trusted advisor relationships with prospects and customers. You will educate, present, demonstrate, and conduct proofs-of-concept for our AI Infrastructure platform, working within the fast-evolving AI and cloud-native ecosystems.
What You'll Do
- Partner with sales to support enterprise opportunities and help customers understand the value of our AI and Kubernetes-based solutions.
- Lead technical discovery sessions, demos, and proof-of-concept engagements with customers and partners.
- Serve as a trusted advisor to CTOs, platform teams, and AI engineering leaders.
- Translate customer requirements into solution architectures leveraging Mirantis’ products and best practices.
- Deliver engaging technical presentations and live demonstrations showcasing our platform capabilities, business value, and open-source innovation.
- Represent Mirantis at industry events, conferences, and community meetups by delivering technical sessions, demonstrations, and thought leadership content.
- Create technical content, demos, and solution patterns that accelerate adoption.
- Prototype deployments of AI workloads and developer platforms.
- Lead customer proof-of-concept engagements to validate solution fit.
- Provide field feedback to influence product direction and go-to-market strategy.
What We're Looking For
- 5+ years experience in a pre-sales, solutions architecture, or technical consulting role for cloud-native or enterprise software.
- Working knowledge of cloud infrastructure, including Kubernetes, Container Orchestration, Multi-cluster Management, and public cloud services (AWS, GCP, Azure).
- Working knowledge of AI/ML deployment pipelines; Model serving and inference platforms.
- Working knowledge of AI/ML infrastructure tools (e.g., Kubeflow, MLflow, Ray, or similar frameworks), and how they integrate with cloud-native platforms.
- Working knowledge of DevOps, GitOps and automation tools, including CI/CD pipelines.
- Working knowledge of Observability tooling, including open-source monitoring, logging, and alerting systems.
- Strong understanding of the competitive landscape within the cloud infrastructure and open-source ecosystem.
- Track record of delivering outcomes for Fortune 500 clients and influencing senior IT/engineering leaders (CIO, CTO).
- Exceptional written, verbal, and presentation skills with the ability to communicate complex ideas clearly to technical and business audiences.
- Ability to travel to customer sites and events as needed.
- 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.
Technical Stack
- Kubernetes, Container Orchestration, Multi-cluster Management
- AWS, GCP, Azure
- AI/ML deployment pipelines, Model serving and inference platforms
- Kubeflow, MLflow, Ray
- DevOps, GitOps, CI/CD pipelines
- Observability tooling, Open-source monitoring, logging, and alerting systems
Team & Environment
You’ll join a client-facing technical team. The culture values openness, collaboration, risk-taking, and continuous growth, offering a high-energy environment of a young company. You’ll work with exceptionally passionate, talented and engaging colleagues.
Benefits & Compensation
- 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.
