Senior Site Reliability Engineer, SRE

Mirantis

. Design, develop, and operate sophisticated cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes .

Posted 9/29/2026full-timeRemote • Spain, KazakhstanSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating cloud-based AI solutions, with a strong focus on Kubernetes and AI infrastructure. Proven ability to optimize system performance, troubleshoot complex issues, and lead technical tasks while collaborating with diverse teams.

Highest-signal resume keywords

KubernetesDevOpsCloud InfrastructureGolangCI/CD Pipelines

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Cloud-Based AI SolutionsContainer InfrastructurePerformance OptimizationDebugging SkillsDistributed SystemsMicroservices ArchitectureNetworkingStorageLinuxOpen Source Software

Soft Skills

Problem-SolvingCustomer-Facing CommunicationMentoringCollaborationContinuous Learning

Tools & Technologies

NVIDIA-Certified HardwareOpenStackRancherOpenShiftVMware

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

AI InfrastructureHigh-Performance ComputingGPU InfrastructureDevOps LifecycleTechnical Strategies

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaScriptKubernetesLinuxMicroservicesOpen SourceOpenShiftOpenStackPythonVMwareGo

About the role

Key responsibilities & impact

Design, develop, and operate sophisticated cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
Ensure the reliability, security, and performance of container infrastructure
Mentor team members and Mirantis customers
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
Stay current with industry trends and best practices in cloud operations and development
Design and implement AI-driven automation across the DevOps lifecycle
Facilitate knowledge transfer to customers during delivery phases
Work with stakeholders to define technical strategies and solve complex challenges
Ensure seamless integration of cloud and software services

Requirements

What you’ll need

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, including Python and JavaScript
Strong knowledge of distributed systems, microservices architecture, and CI/CD pipelines
Exceptional problem-solving and debugging skills across networking and storage, Linux, and Kubernetes
Knowledge of 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
At least 5 years of DevOps or Software Development experience or in a similar role
Nice to have: extensive experience in network and/or storage architecture
Nice to have: 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
Nice to have: open source community presence, including upstream contribution and conference presentations
Nice to have: experience with Rancher, OpenShift, and VMware

Benefits

Comp & perks

Professional development and training
Attend conferences and working groups
Company outings, happy hours, hackathons, and tech talks
Competitive compensation package with a strong benefits plan
Opportunity to work with passionate, talented colleagues
Exposure to cutting-edge, open-source innovation
High-energy environment valuing openness, collaboration, risk-taking, and continuous growth