Senior Site Reliability Engineer, SRE

Mirantis

Senior AI Deployment Engineer deploying AI infrastructure solutions at Mirantis. Collaborating on cloud technologies and mentoring team members while optimizing performance and reliability.

Posted 7/30/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining cloud and AI infrastructure solutions, with a strong focus on optimizing system performance and reliability. Proven ability to lead technical tasks and collaborate with international teams while delivering high-quality results.

Highest-signal resume keywords

DevOps ExperienceCloud Infrastructure TechnologiesKubernetesGolangCI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud InfrastructureAI Infrastructure SolutionsKubernetesOpenStackGolangPythonJavaScriptDistributed SystemsMicroservices ArchitecturePerformance Optimization

Soft Skills

Problem-SolvingCollaborationCustomer-Facing CommunicationAttention to DetailContinuous Learning

Tools & Technologies

CI/CD ToolsNetworking SolutionsStorage SolutionsLinuxOpen Source Software

Industry Keywords

Cloud OperationsTechnical RequirementsProcess ImprovementsKnowledge TransferHigh-Performance Data Center

Tech Stack

Tools & technologies

CloudDistributed SystemsGoJavaScriptKubernetesLinuxMicroservicesOpen SourceOpenStackPython

About the role

Key responsibilities & impact

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.

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 (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.

Benefits

Comp & perks

Work with an established Silicon Valley leader in the cloud infrastructure industry;
Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
Be a part of cutting-edge, open-source innovation;
Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
Professional development and training;
Attend conferences and working groups;
Company outings, happy hours, hackathons, and tech talks;
Receive a competitive compensation package with a strong benefits plan.