Jobs at Mirantis

Design, develop, validate, and operate Mirantis OpenStack for Kubernetes. Responsibilities include lifecycle management, upgrades, automation, CI/CD pipelines, feature integration, technical design reviews, production troubleshooting, performance analysis, and upstream OpenStack contributions. The role provides senior technical leadership, supports complex customer environments, and maintains reliable development and validation infrastructure.

Design and build Kubernetes-based LLM serving infrastructure, including GPU scheduling, scaling, model lifecycle management, enterprise Helm deployments, API and identity integrations, metering, and GPU inference observability. Contribute across a multi-service Go codebase, create design documentation, participate in reviews, and help guide engineering direction. The role also supports restricted-network deployments and may involve inference optimization, distributed serving, and management UI development.

Build and maintain enterprise management consoles for Kubernetes and AI infrastructure products. Develop data-dense interfaces for cluster management, model deployment, GPU capacity, usage, and operational metrics. Own shared design-system components, integrate with platform APIs, support Helm-based and offline enterprise deployments, and contribute to testing, accessibility, bug triage, technical design, and engineering direction.

Designs, develops, validates, and operates MOSK, a cloud-native OpenStack platform running on Kubernetes. Responsibilities include lifecycle management, upgrades, automation, CI/CD, feature validation, technical design reviews, production troubleshooting, performance optimization, and upstream OpenStack contributions. The role also provides Tier-3 customer support, maintains production-like environments, and serves as a technical authority for OpenStack and MOSK.

Design, develop, validate, and operate Mirantis OpenStack for Kubernetes. Build lifecycle management, automation frameworks, CI/CD pipelines, and upgrade and rollback capabilities. Troubleshoot complex customer environments involving Kubernetes, OpenStack, networking, storage, and distributed systems. Contribute to architectural decisions, technical reviews, performance optimization, operational readiness, upstream fixes, roadmap planning, and engineering leadership.

Own and expand Tier 1 enterprise accounts across the East region while acquiring select strategic customers. Lead consultative, full-cycle sales for Kubernetes, cloud, and infrastructure platforms, including account planning, executive relationship management, platform modernization, commercial negotiations, and complex multi-year deal closure. Partner with Sales Engineering, Product, and Customer Success to support enterprise transformation and AI infrastructure initiatives while achieving revenue growth and expansion targets.

Directs US neocloud operations for GPU-dense infrastructure and Kubernetes platforms. Owns uptime, SLAs, incident response, capacity planning, change control, customer escalations, and operational KPIs. Leads engineers, NOC/SRE staff, and site coordinators; manages vendors and cross-region coverage. Oversees GPU cluster health, networking, storage, firmware, and capacity. Partners with Sales, Product, Engineering, and customers to define services, runbooks, pricing inputs, and operational improvements through automation and standardized tooling.

Own budgeting, forecasting, variance analysis, financial modeling, and business-unit finance partnership for a software company. Develop AOPs, rolling forecasts, BVA packages, management reporting, and ROI and margin analyses. Support close activities, reconcile reporting to GL actuals, and improve FP&A processes using Adaptive Insights, NetSuite, Salesforce, Excel, and standardized documentation.

Hunt and close new-logo customers among AI cloud, neocloud, GPU-as-a-service, and inference providers. Own the full enterprise sales cycle, build qualified Salesforce pipeline, forecast using MEDDPICC, shape technical evaluations, develop CFO-level business cases, and partner with NVIDIA, OEM, hardware, and channel organizations. The role requires strong AI infrastructure expertise, executive relationships, complex seven-figure deal experience, and the ability to help define go-to-market strategy for k0rdent AI.

Designs, validates, and evolves Mirantis OpenStack for Kubernetes. Responsibilities include lifecycle management, feature integration, automation, CI/CD, technical design reviews, production troubleshooting, performance optimization, release readiness, and upstream OpenStack contributions. The role serves as a technical authority for OpenStack and MOSK while supporting complex customer environments involving Kubernetes, networking, storage, and distributed systems.

Lead customer engagements involving platform engineering, Kubernetes, AI infrastructure, cloud-native workloads, and open source technologies. The role combines pre-sales consulting, solution design and delivery, technical strategy, workshops, training, troubleshooting, and customer enablement. The architect will influence solution direction, support cloud modernization and infrastructure scaling, engage open source communities, and translate emerging technologies into actionable strategies for technical and executive audiences.

Owns complex, client-facing cloud and AI engagements from pre-sales scoping through delivery and acceptance. Responsibilities include planning, stakeholder coordination, risk and dependency management, client communication, commercial oversight, change orders, vendor management, executive reporting, and identifying follow-on opportunities. The role manages multiple engagements or large multi-workstream programs involving enterprise customers, cloud providers, engineering teams, and third-party vendors.

Own enterprise client relationships for Mirantis cloud-native solutions. Manage client communications, escalations, invoicing, onboarding, offboarding, meetings, KPIs, health reviews, and cross-functional coordination. Use data to identify risks and business opportunities, relay feedback to product teams, and support account growth. The role requires cloud hosting knowledge, strong communication, organizational skills, and occasional domestic and international travel.

Design, deploy, manage, and troubleshoot high-performance HPC networking environments, focusing on InfiniBand fabrics, Ethernet, routing, switching, security, and performance optimization. Manage Fortinet solutions, conduct capacity planning, support HPC clusters, resolve critical incidents, document network architecture, and contribute to upgrades and deployments. Collaborate with compute, storage, and platform teams while participating in on-call support.

Lead technical operations for large-scale AI infrastructure using NVIDIA GPUs, Kubernetes, Linux, high-performance networking, and distributed systems. Investigate complex incidents, perform root cause analysis, improve reliability and observability, automate operational processes, and support platform upgrades and service introductions. Serve as a senior escalation point, mentor engineers, develop operational standards and runbooks, and collaborate with engineering teams, vendors, and datacenter personnel to improve platform resilience and service delivery.

Design, deploy, maintain, and troubleshoot high-performance InfiniBand and Ethernet networks for HPC and AI infrastructure. Manage switches, HCAs, subnet managers, Fortinet security solutions, routing, performance tuning, monitoring, and capacity planning. Collaborate with compute, storage, and platform teams, document architectures, support incidents, and lead network upgrades and deployments. Participate in on-call rotations and provide escalation support.

Lead technical operations for large-scale AI infrastructure powered by NVIDIA GPUs, Kubernetes, Linux, high-performance networking, and distributed systems. Investigate complex incidents, perform root cause analysis, improve reliability and observability, automate operational processes, and support platform upgrades. Act as a senior escalation point, mentor engineers, develop operational standards and runbooks, and collaborate with engineering teams, vendors, and datacenter personnel to improve service resilience.

Design, deploy, maintain, and troubleshoot cloud-based AI infrastructure built on Kubernetes, OpenStack, Linux, and NVIDIA hardware. Optimize reliability, scalability, security, networking, storage, and performance; develop AI-driven DevOps automation; resolve complex infrastructure issues; collaborate with global teams and stakeholders; conduct code reviews; and provide technical guidance and knowledge transfer to customers. The role also includes mentoring team members and occasional international travel.

Lead technical operations for large-scale AI infrastructure powered by NVIDIA GPUs, Kubernetes, Linux, and high-performance networking. Investigate complex incidents, troubleshoot distributed systems, drive root-cause analysis, improve reliability and observability, automate operational processes, and support platform upgrades. Provide senior escalation support, develop standards and runbooks, mentor engineers, and help operate AI-powered infrastructure services.

Design, deploy, operate, and troubleshoot cloud-based AI infrastructure built on Kubernetes, OpenStack, open-source software, and NVIDIA-certified hardware. Optimize reliability, scalability, security, networking, storage, and performance; develop AI-driven DevOps automation; resolve complex technical issues; collaborate with distributed teams and customers; conduct code reviews, define technical strategies, and mentor colleagues and customers. Travel up to 25% may be required.