Senior Site Reliability Engineer (SRE)

Mirantis

About The Position

Mirantis is seeking a senior engineer for its cloud development and operations team to help design, develop, deploy, and operate cloud-based AI infrastructure built on the CNCF ecosystem, including Kubernetes, and running on advanced hardware. The position primarily involves deploying AI infrastructure on NVIDIA-certified hardware according to designs created by the engineering team. The engineer will help ensure container infrastructure is reliable, secure, and performant, while mentoring team members and customers. The role also involves working with stakeholders on technical strategy and complex challenges, and integrating cloud and software services. The posting describes the role as Senior AI Deployment Engineer, although the supplied job title is Senior Site Reliability Engineer (SRE).

Requirements

At least 5 years of professional experience in DevOps, software development, or a similar role.
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 such as Python and JavaScript.
Strong knowledge of distributed systems, microservices architecture, and CI/CD pipelines.
Problem-solving and debugging skills across networking and storage hardware and software, Linux, and Kubernetes, with attention to performance optimization and security.
Ability to lead technical tasks and collaborate effectively with diverse teams.
Ability to make 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.
Commitment to innovation, continuous learning, and delivering high-quality results.
Ability to travel up to 25% if needed, including internationally.
Bachelor's degree in Computer Science or a related field, or equivalent experience.

Nice To Haves

Extensive experience in network and/or storage architecture.
Experience with high-performance computing or GPU infrastructure, including GPU scheduling, MIG/vGPU, RDMA/RoCE or InfiniBand fabrics, NVLink, DCGM health-checking, GPU driver/firmware lifecycle, or NVIDIA AI Enterprise.
Presence in the open source community, including upstream contributions and conference presentations.
Prior experience with commercial container and virtual compute infrastructure platforms such as Rancher, OpenShift, and VMware.

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 current 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 delivery phases.
Mentor team members and Mirantis customers.
Deploy AI infrastructure built on NVIDIA-certified hardware following engineering designs.
Work with stakeholders to define technical strategies and ensure seamless integration of cloud and software services.