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Senior Site Reliability Engineer

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Onsite

Senior Site Reliability Engineer

Mirantis

Senior Site Reliability Engineer

Skills

PythonGolangMicroservicesAILinuxKubernetesProcess ImprovementJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Barcelona, Spain

Work mode:

Onsite

Published on:

20 August 2026

What they need


  • We are looking for a highly experienced and driven Senior Site Reliability 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
  • 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- A commitment to innovation, continuous learning, and delivering high-quality results
  • Ability to travel up to 25% if needed, including internationally
  • Excellent customer-facing communication skills
  • Demonstrated ability to lead technical tasks and collaborate effectively with diverse teams
  • Excellent written and spoken English
  • Experience with high-performance data center processing, networking, and storage
  • At least 5 years of DevOps or Software Development experience or in a similar role
  • 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
  • Comfortable making independent judgment calls when working directly with customers, often with limited day-to-day oversight
  • 5+ years of professional experience in DevOps, with a strong focus on cloud and infrastructure technologies, including Kubernetes and/or OpenStack
  • Exposure to Golang and working knowledge of other programming languages (Python, JavaScript)
  • Bachelor’s degree in Computer Science or a related field, or equivalent experience
  • Extensive experience in network and/or storage architecture
  • Experience with high-performance computing or GPU infrastructure: 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 contribution and conference presentations
  • Prior experience with commercial container and virtual compute infrastructure platforms such as Rancher, Openshift, and VMware

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