Find your next opportunity
Browse fresh openings from leading companies and apply with a resume tailored to the role.
Browse fresh openings from leading companies and apply with a resume tailored to the role.
14306 openings
7161-7168 of 14306Mirantis
Free to start · No card · 5 credits the moment you sign up
Our organization is establishing an Americas-based AI Infrastructure & Platform Operations unit dedicated to the management of expansive AI ecosystems utilizing NVIDIA GPU acceleration, high-speed interconnects, Kubernetes, and bleeding-edge platform frameworks.
This team maintains the reliability, efficiency, and architectural integrity of vital AI service platforms across a global datacenter footprint. Positioned at the nexus of core infrastructure and network engineering, you will sustain the high-performance environments essential for contemporary AI application suites.
This position offers the chance to engage with pioneering AI hardware while driving the development of automated operational capabilities via the k0rdent AI platform.
Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
Act as a senior escalation point for operational teams during critical service-impacting events.
Support large-scale NVIDIA GPU infrastructure and high-performance networking environments.
Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues.
Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks.
Lead root cause analysis activities and drive long-term corrective actions.
Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges.
Participate in major incident management and service restoration activities.
Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
Drive improvements in platform reliability, observability, monitoring, and operational processes.
Identify opportunities to automate repetitive operational activities and improve operational efficiency.
Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions.
Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI.
Evaluate emerging technologies and operational practices to improve service delivery and platform resilience.
Mentor and support AI Infrastructure & Platform Operations Engineers.
Share technical knowledge through documentation, training sessions, and operational reviews.
Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices.
Help define operational processes, escalation paths, and service reliability standards.
Act as a trusted technical advisor during operational planning and service improvement initiatives.
7+ years of experience in infrastructure operations, platform operations, site reliability engineering, network operations, cloud operations, datacenter operations, or related technical roles.
Expert-level Linux administration and troubleshooting skills.
Strong networking expertise, including experience diagnosing complex performance, connectivity, and reliability issues.
Strong experience operating Kubernetes in production environments.
Experience supporting large-scale production infrastructure and distributed systems.
Proven experience leading technical investigations and managing complex incidents.
Experience performing root cause analysis and driving long-term operational improvements.
Strong understanding of observability, monitoring, and service reliability practices.
Excellent troubleshooting and analytical skills across multiple infrastructure domains.
Strong communication, collaboration, and stakeholder management skills.
Experience in one or more of the following areas is highly desirable:
NVIDIA GPU infrastructure and accelerated computing platforms.
Platform Engineering or Site Reliability Engineering (SRE).
Infrastructure automation technologies and Infrastructure-as-Code practices.
Observability platforms such as Grafana, Prometheus, ELK, or OpenTelemetry.
Performance analysis and optimisation of distributed infrastructure platforms.
Technical leadership, mentoring, or team lead responsibilities.
Operate some of the most advanced AI infrastructure environments in production today.
Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
Help define operational standards and reliability practices for next-generation AI infrastructure services.
Influence the adoption of AI-powered operational capabilities through k0rdent AI.
Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.
We are a Leader for Container Management in G2 (#2 after AWS)!
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
Originally posted on Himalayas
Start with a role or skill you want to use in your next job. Use the location and role filters to narrow the results, then open a listing to review the description. A title alone rarely explains the level of responsibility, working arrangement, or experience a team needs. Compare those details before deciding which opportunities deserve a tailored application.
Employers use different titles for similar work. If an exact phrase produces no results, try a shorter title, a core skill, or an alternative name for the role. Remove one filter at a time to understand which requirement is narrowing your search. A broader search can reveal suitable work without asking you to change your actual qualifications.
For each promising listing, read the responsibilities and separate essential requirements from preferences. Note the location, schedule, employment type, and compensation when provided. Missing details are questions to confirm with the employer. A remote opening may still require a particular country, work authorization, or time-zone overlap, so check the full posting before treating it as a location-independent opportunity.
Choose a few examples that demonstrate the skills this employer names. Explain your contribution and its outcome, using accurate numbers where available. Put the most relevant experience first and keep your resume easy to scan. Avoid adding technologies, qualifications, or achievements simply because they appear in a description. Your application should make your existing strengths easier to understand.
Follow the employer’s instructions for resumes, cover letters, work samples, and screening questions. Review the exported file before submitting it: confirm that contact details are correct, text can be selected, and links reach the intended pages. A resume check can help you spot unclear writing before you apply. Its feedback is advisory and does not predict a hiring decision.
Listings are collected from external sources and may change after they appear here. The employer or recruiting destination controls whether applications are open. If an original link is unavailable, check the company’s careers page for the title or move to another opening. An employer website link is a place to check current vacancies, rather than confirmation that a particular job is still accepting applications.
Keep a simple record of the company, role, job reference, application date, and documents you sent. Record any follow-up instructions and the next action you plan to take. This makes it easier to prepare for interviews, compare opportunities, and avoid applying repeatedly to the same opening through different boards. Review your shortlist as employers update their listings and prioritize opportunities with clear requirements that match the work you want to do.