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 looking for an experienced Principal DevOps Engineer to lead the design, implementation, and optimization of customer infrastructure and CI/CD pipelines. In this role, you will collaborate with cross-functional teams to ensure robust system performance, scalability, and security. You will also mentor junior team members, drive automation initiatives, and contribute to strategic decisions regarding infrastructure and deployment processes. This position is ideal for a seasoned professional with a strong background in cloud technologies, containers, scripting, and DevOps best practices.
Main Responsibilities
Design and deploy customer infrastructure on different cloud providers and bare metal environments
Design and manage Kubernetes clusters for applications with microservices architecture
Develop and optimize CI/CD pipelines for seamless software delivery
Design and monitor and operate development/staging/production environments
Facilitate knowledge transfer to the customers during deployment projects
Work with geographically distributed international teams on technical challenges and process improvements
Mentor and help grow other DevOps Engineers
Contribute to Mirantis deployment knowledge base
Continuously improve tooling and technologies
Required Skills/Abilities
Solid knowledge of Linux OS, storage and networking
Background in microservices architecture and distributed systems
Solid knowledge in Kubernetes and related tools
Practical experience in application containerization: Docker, Helm
Solid practical experience in Bash/Groovy/Python/Go programming (at least one language)
Excellent English language skills - written and oral
Strong analytical and problem-solving skills
Willingness and ability to travel as needed for business requirements and onsite project delivery
Will be a plus
Experience in AI/ML models lifecycle, including development, deployment, monitoring, and maintenance
Proficiency in Openstack and related software
Education and Experience
Bachelor’s degree in Computer Science or related field
At least 5 years of DevOps experience or in similar role
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 high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.
Professional development and training.
Attend conferences and working groups.
Customized workstation (macOS, Windows).
Professional development and training.
Competitive compensation, performance incentives, and opportunities for advancement.
It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for.
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