Enterprise Architect

Mirantis; Polska; Remote; PLN 352,000 - 528,000; Full time

Job summary

Mirantis is seeking a senior enterprise architect to partner with enterprise customers, translating business strategy into comprehensive technology directions. You will assess landscapes, design coherent target-state architectures, and develop transformation roadmaps that balance value, risk, cost, and operational realities.

The role requires 10+ years in infrastructure or platform engineering with customer-facing advisory experience and breadth across private clouds, Kubernetes platforms, and

Qualifications

• Bachelor's degree in Computer Science or a related field, or equivalent experience.
• 10+ years across infrastructure or platform engineering, including customer-facing architecture or advisory experience.

Responsibilities

• Partner with enterprise customers to translate business strategy into technology direction.
• Design target-state architectures aligned to business objectives.
• Develop transformation roadmaps balancing value, risk, cost, and operations.
• Establish architecture principles, standards, and reference models for decision-making.
• Evaluate cloud, container, infrastructure, and AI options and provide recommendations.
• Serve as a translator between business stakeholders and technical delivery teams.
• Present architectures and roadmaps to audiences from executives to engineers.
• Engage on-site with customers across regions during discovery, design, and advisory phases.

Skills

Enterprise architecture

OpenStack

Kubernetes

MosK/MKE

Multi-cluster management

VMware vSphere

Ansible

Terraform

Cloud strategy

Architecture communication

Education

Bachelor's degree in Computer Science or related field

Tools

Mirantis Openstack for Kubernetes (MOSK)

Mirantis k0s

Job description

Key Responsibilities:

• Partner with enterprise customers to understand their business strategy, drivers, and constraints, and translate them into technology direction.


• Assess current-state technology landscapes and design coherent target-state architectures that serve business objectives rather than optimizing individual components in isolation.


• Develop transformation roadmaps, sequencing decisions to balance business value, risk, cost, and operational reality.


• Establish architecture principles, standards, and reference models that give the enterprise a consistent frame for decision-making.


• Evaluate trade-offs across cloud, container, infrastructure, and AI options and make clear, defensible recommendations on where each fits within the broader landscape.


• Become a trusted advisor and translator between business stakeholders and technical delivery teams.


• Present architectures, roadmaps, and rationale to audiences ranging from customer executives to hands-on engineers.


• Engage on-site with customers across regions as part of the discovery, design, and advisory process.

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

• Familiarity with Software-Defined Networking (SDN) as part of a broader architecture picture.


• Familiarity with Software-Defined Storage (SDS) as part of a broader architecture picture.


• Experience with enterprise architecture frameworks or methods (e.g., TOGAF or equivalent).


• Exposure to hybrid or multi-cloud strategy and workload portability.


• Additional European language skills (beyond the required English).


• Relevant industry certifications (cloud, container).

Education and Experience:

Bachelor's degree in Computer Science or a related field, or equivalent experience.

10+ years across infrastructure or platform engineering, including customer-facing architecture or advisory experience

What does Mirantis offer you?

Work in a global, collaborative, remote-first culture that rewards initiative and execution.

Play a pivotal role in shaping the next era of cloud and AI modernisation.

Manage high-impact enterprise accounts with immediate opportunity for growth.

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 hig