Enterprise Architect
Mirantis
Enterprise Architect
Mirantis
Kubernetes management platform with services
Job Summary
We are seeking an Enterprise Architect whose focus is on the whole: Someone who aligns the technology landscape of enterprise customers with their business objectives. You will work with client leadership and technical teams to understand where a business is trying to go, assess the current-state landscape, and shape a coherent target-state architecture and roadmap that moves technology decisions in service of business outcomes.
This is a role about synthesis and judgment. You are well versed across a broad range of technologies — cloud, containers, operating systems, platform components, and AI — but your value is in seeing how they fit together into a system that serves the enterprise, weighing trade-offs across cost, risk, operational fit, and time-to-value, and communicating those choices clearly to both executives and engineers.
What matters most is the ability to think holistically about business-technology alignment and to reason credibly across the technology domains below.
Key Responsibilities:
Required Skills/Abilities:
Required Skills/Abilities:
A demonstrated ability to think about the enterprise as a whole — connecting technology decisions to business goals — rather than working only at the level of individual systems.
Broad, credible fluency across a range of technologies, including:
Private cloud platforms including OpenStack; experience with Mirantis Openstack for Kubernetes (MOSK) is preferred.
Kubernetes-based container platforms including Mirantis k0s and Mirantis Kubernetes Engine (MKE)
Multi-cluster management tools such as Mirantis k0rdent
Workload orchestration — how modern platforms schedule, route, and manage workloads across clusters and environments.
VMware estate modernization — enough understanding of vSphere/VMware environments to advise enterprises on virtualization strategy and migration paths as they modernize toward open platforms.
Bare-metal provisioning and physical infrastructure lifecycle.
Automation (e.g., Ansible, Terraform, or equivalent infrastructure-as-code and configuration-management approaches).
The components of a cloud or container platform and how they fit together.
Enterprise AI infrastructure — enough understanding of how AI inference is deployed and governed in the enterprise (model serving, inference stacks, and the associated data, security, and governance implications) to reason about where it fits and its trade-offs. Deep ML specialization is not required; the focus is the infrastructure and governance layer, not model development.
Strong ability to communicate architecture and rationale to both business and technical audiences.
Ability and willingness to travel, primarily within the EU and US.
Nice to have
Education and Experience:
What does Mirantis offer you?
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We are a Leader for Container Management in G2 (#2 after AWS)!
Mirantis provides a Kubernetes management platform and related cloud services. It helps businesses run and scale containerized applications in the cloud by automating deployment, management, and scaling of Kubernetes clusters. The product is available as a free download, while the company earns revenue from professional services such as consulting, training, and support. This mix of software and services sets it apart from competitors that rely solely on software sales. Mirantis works with many clients across industries, focusing on helping organizations migrate to modern, scalable cloud solutions. The overall goal is to enable customers to operate their software more efficiently at large scale in the cloud.
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