AI Infrastructure Engineer

About the Position

We are seeking an AI Infrastructure Engineer to join our global team responsible for managing and supporting large-scale AI infrastructure environments. You will help ensure the availability, performance, and operational stability of critical AI infrastructure platforms, working closely with a distributed team across regions to provide continuous coverage and support.

This is an opportunity to work hands-on with some of the most advanced Kubernetes-based AI infrastructure in production today, while contributing to the platforms and processes that keep it running reliably at scale.

Responsibilities

• Manage and operate production AI infrastructure environments.
• Lead incident response and troubleshooting efforts and deliver timely service restoration during outages or performance degradations.
• Troubleshoot infrastructure and networking issues across bare-metal and/or cloud environments with multiple vendors.
• Conduct root cause analysis and drive product and operational improvements.
• Contribute and improve operational documentation and knowledge base.
• Collaborate with global team members across time zones to ensure continuous operational coverage, including occasional work during weekends and holidays.

Requirements

• Proven experience managing and operating large-scale production systems (bare-metal and/or cloud).
• Solid working knowledge of Kubernetes with excellent, demonstrable troubleshooting skills.
• Experience configuring, customizing, and extending logging and monitoring tools (e.g., Prometheus, Grafana, ELK, or similar).
• Experience with infrastructure automation technologies and Infrastructure-as-Code practices (e.g., Ansible, Terraform, or similar).
• Effective verbal and written communication skills in English.
• Strong analytical and problem-solving skills, with the ability to work through complex, ambiguous technical issues.
• Willingness to occasionally work weekends and holidays.

Nice to Have

• Previous experience building, scaling, and running High-Performance Computing (HPC) environments.
• Hands-on experiences with managing large scale Kubernetes platforms in production.
• A good understanding of NVIDIA GPU technologies and the associated software stack.
• Proficiency in scripting languages (e.g., Python, Bash, Go).

We Offer

• Work with an established Silicon Valley leader in the cloud infrastructure industry.
• 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.
• Company outings, happy hours, hackathons, and tech talks.
• Receive a competitive compensation package with a strong benefits plan.

About the Company

About Mirantis

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.