Senior Site Reliability Engineer, SRE

Mirantis

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

Posted 11/3/2026full-timeRemote • LatviaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and implementing cloud-based AI solutions, with a strong focus on Kubernetes, DevOps practices, and performance optimization. Proven ability to mentor teams, troubleshoot complex issues, and collaborate effectively across diverse, international teams.

Highest-signal resume keywords

KubernetesDevOpsCloud InfrastructureGolangPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud-Based AI SolutionsContainer InfrastructureMicroservices ArchitectureCI/CD PipelinesPerformance OptimizationTroubleshootingDebuggingDistributed SystemsNetworkingStorage

Soft Skills

Problem-SolvingCustomer-Facing CommunicationCollaborationMentoringAttention to Detail

Tools & Technologies

NVIDIA-Certified HardwareOpen-Source SoftwareLinuxAutomation ToolsEngineering Architecture

Industry Keywords

CNCF EcosystemAI InfrastructureTechnical StrategiesKnowledge TransferContinuous Learning

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaScriptKubernetesLinuxMicroservicesOpenStackPythonGo

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
Gather and refine technical requirements with stakeholders
Optimize system performance, reliability, and scalability
Troubleshoot, debug, and resolve complex technical issues
Participate in code reviews
Stay current with cloud operations and development trends and best practices
Design and implement AI-driven automation across the DevOps lifecycle
Facilitate knowledge transfer to customers during delivery phases
Define technical strategies and 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 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
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
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

Benefits

Comp & perks

Professional development and training
Conference and working group attendance
Company outings, happy hours, hackathons, and tech talks
Competitive compensation package with a strong benefits plan
Opportunity to work with passionate colleagues and Fortune 500 and Global 2000 customers
Participation in open-source innovation
Young-company environment valuing openness, collaboration, risk-taking, and continuous growth