Senior Site Reliability Engineer (SRE)

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.

We are looking for a highly experienced and driven Senior AI Deployment Engineer to join our forward-thinking cloud development and operations team. In this role, you will contribute to the design, development, and operation of sophisticated cloud-based AI solutions built on the CNCF ecosystem including Kubernetes, running on cutting-edge hardware from leading vendors. This role focuses mainly on deploying AI infrastructure built on NVIDIA-certified hardware, following architecture and implementation designs produced by our engineering team. You will play a pivotal role in ensuring the reliability, security, and performance of container infrastructure, while mentoring team members and Mirantis customers to deliver high-quality software and services. As a senior engineer, you will work closely with stakeholders to define technical strategies, solve complex challenges, and ensure the seamless integration of cloud and software services. This is an excellent opportunity to make a significant impact while driving innovation in a rapidly evolving cloud ecosystem.

Main Responsibilities:

Work with geographically distributed international teams on technical challenges and process improvements.

Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software.

Collaborate with stakeholders to gather and refine technical requirements.

Optimize system performance, reliability, and scalability.

Troubleshoot, debug, and resolve complex technical issues.

Participate in code reviews to maintain high quality standards.

Stay up to date with industry trends and best practices in cloud operations and development.

Design and implement AI-driven automation across the DevOps lifecycle, including code development and maintenance.

Facilitate knowledge transfer to customers during the delivery phases.

5+ years of professional experience in DevOps, with a strong focus on cloud and infrastructure technologies, including Kubernetes and/or OpenStack

Experience with high-performance data center processing, networking, and storage

Exposure to Golang and working knowledge of other programming languages (Python, JavaScript).

Strong knowledge of distributed systems, microservices architecture, and CI/CD pipelines.

Exceptional problem-solving and debugging skills across networking and storage (hardware and software), Linux, and Kubernetes, with attention to performance optimization and security.

Demonstrated ability to lead technical tasks and collaborate effectively with diverse teams.

Comfortable making independent judgment calls when working directly with customers, often with limited day-to-day oversight.

Excellent written and spoken English.

Excellent customer-facing communication skills.

A commitment to innovation, continuous learning, and delivering high-quality results.

Ability to travel up to 25% if needed, including internationally.