Mirantis

Design and build control-plane services and tooling for high-performance storage on Kubernetes AI platforms. | 5+ years development with Go, expertise in Kubernetes storage CSI, and scale-out storage integration. | About Mirantis 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. Job Description Overview Design and build the software that provisions, integrates, and operates high-performance storage for GPU-accelerated compute and AI platforms. You will develop the control-plane services, drivers, and tooling that connect enterprise and scale-out storage systems to Kubernetes-based workloads across hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack. About the Role We are looking for a software engineer who thinks in systems and data paths — someone who can reason about throughput, latency, consistency, and failure across a storage stack, then express that understanding as clean, testable Go. The right candidate has built production software against real storage systems (whether enterprise NAS, scale-out, or object), understands what makes storage fast and reliable at scale, and prefers declarative automation over manual operations. You should be self-directed, comfortable owning ambiguous problems end to end, and effective communicating technical decisions across teams. Responsibilities 1. Storage Software & Integration Design and build control-plane services, drivers (e.g., CSI), and tooling that provision, configure, and operate storage for Kubernetes-based AI/compute workloads. Integrate high-performance storage platforms — Dell PowerScale, VAST, and comparable systems — into automated, declarative provisioning workflows. Build data-path, telemetry, and observability tooling to diagnose and resolve performance, reliability, and scaling issues. 2. Software & Automation Write production-quality software — primarily in Go — with strong testing, code review, and operational rigor. Deliver infrastructure-as-code (Terraform/OpenTofu) and GitOps-driven pipelines (ArgoCD or Flux) for storage configuration and lifecycle. Support bare-metal and hybrid provisioning where storage intersects host and cluster bring-up. 3. Platform & Hybrid Delivery Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies. Architect storage software for fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations. Qualifications 5+ years of software development, including production systems, with Go as a primary language. 5+ years building or integrating storage systems (distributed, scale-out, NAS, or object) at scale. Hands-on experience with high-performance storage platforms such as Dell PowerScale, VAST, or comparable technologies. Solid understanding of storage fundamentals: file/block/object models, throughput and latency behavior, caching, consistency, and failure modes. Experience with Kubernetes storage (CSI, persistent volumes, storage classes) and infrastructure-as-code. Strong written and verbal communication with technical audiences. Preferred Proficiency in Python and/or Rust in addition to Go. Experience with the Mirantis K0rdent stack (K0rdent Enterprise, K0rdent AI, k0s, MKE) and Cluster API. Experience developing storage for GPU/AI workloads (high-throughput data pipelines, GPUDirect Storage). Proven experience in sovereign or high-security air-gapped environments. Additional Information What does Mirantis offer you? - 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. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected] By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

Design and implement infrastructure services for GPU-as-a-Service platform focusing on control plane and bare-metal server lifecycle with asynchronous workflows and system reliability. | Strong proficiency in Go, expertise in Kubernetes primitives and controller patterns, hands-on experience with bare-metal provisioning and event-driven asynchronous systems. | About Mirantis 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. Job Description We are looking for an experienced Full-Stack Software Engineer to design and implement the Infrastructure Services that power our GPU-as-a-Service platform. You will build the control plane that turns high-level API calls into real infrastructure actions — enrolling bare-metal servers, provisioning them, and assembling them into multi-tenant Kubernetes clusters on high-performance hardware. You will own the full lifecycle of the infrastructure-level services—from the Server and MachineType APIs down to the provisioning workflows and reconciliation loops that keep the platform's view of hardware consistent with physical reality. Key Responsibilities • Infrastructure API Design: Design, build, and maintain the versioned REST and gRPC APIs for bare-metal server lifecycle, MachineType definitions, and cluster CRUD operations. • Provisioning & Workflow Development: Develop the asynchronous workflows that drive server enrollment, inspection, OS provisioning, and cluster bring-up, exposing durable status to callers. • Implementation: Implement and maintain the consoles and interfaces that visualize hardware inventory, provisioning progress, and cluster health. • System Reliability: Design the error-handling models, idempotency guarantees, and reconciliation loops necessary to manage long-running provisioning operations reliably. Qualifications • API Development: Strong experience designing RESTful APIs or gRPC services. You understand API versioning and gateway patterns. • Proficiency in Go (preferred for backend/Kubernetes ecosystem) • Kubernetes Knowledge: Deep understanding of Kubernetes primitives and controller/reconciler patterns. You will be interacting with systems like k0rdent, Metal3, and Cluster API to translate high-level API calls into infrastructure actions. • Bare-Metal Provisioning: Hands-on experience with bare-metal provisioning flows — BMC/Redfish, PXE/iPXE, image management, and hardware inspection. • Asynchronous Systems: Experience building workflow-driven or event-driven systems (e.g., Temporal) where operations are long-running and state must remain consistent across retries and failures. Preferred Qualifications • State Reconciliation: Experience building informers or reconciliation bridges that keep an external datastore consistent with Kubernetes resource state. • Multi-Tenancy: Experience building platforms where strict data and network isolation between tenants is required. • Infrastructure-as-Code: Familiarity with Terraform/OpenTofu and GitOps-driven configuration (ArgoCD or Flux). • Hardware Domain: Familiarity with GPU server hardware, DPUs/NICs, and high-performance datacenter fabrics. Additional Information What does Mirantis offer you? - 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. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected] By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

Design and implement infrastructure services and asynchronous workflows for GPU-as-a-Service platform focusing on control plane and bare-metal server lifecycle. | Strong API development experience (REST/gRPC), proficiency in Go and TypeScript/React, deep Kubernetes controller knowledge, and hands-on bare-metal provisioning experience required. | About Mirantis 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. Job Description We are looking for an experienced Full-Stack Software Engineer to design and implement the Infrastructure Services that power our GPU-as-a-Service platform. You will build the control plane that turns high-level API calls into real infrastructure actions — enrolling bare-metal servers, provisioning them, and assembling them into multi-tenant Kubernetes clusters on high-performance hardware. You will own the full lifecycle of the infrastructure-level services—from the Server and MachineType APIs down to the provisioning workflows and reconciliation loops that keep the platform's view of hardware consistent with physical reality. Key Responsibilities • Infrastructure API Design: Design, build, and maintain the versioned REST and gRPC APIs for bare-metal server lifecycle, MachineType definitions, and cluster CRUD operations. • Provisioning & Workflow Development: Develop the asynchronous workflows that drive server enrollment, inspection, OS provisioning, and cluster bring-up, exposing durable status to callers. • Full-Stack Implementation: Implement and maintain the consoles and interfaces that visualize hardware inventory, provisioning progress, and cluster health. • System Reliability: Design the error-handling models, idempotency guarantees, and reconciliation loops necessary to manage long-running provisioning operations reliably. Qualifications • API Development: Strong experience designing RESTful APIs or gRPC services. You understand API versioning and gateway patterns. • Language Stack: Proficiency in Go (preferred for backend/Kubernetes ecosystem) and modern TypeScript/React (for the Console). • Kubernetes Knowledge: Deep understanding of Kubernetes primitives and controller/reconciler patterns. You will be interacting with systems like k0rdent, Metal3, and Cluster API to translate high-level API calls into infrastructure actions. • Bare-Metal Provisioning: Hands-on experience with bare-metal provisioning flows — BMC/Redfish, PXE/iPXE, image management, and hardware inspection. • Asynchronous Systems: Experience building workflow-driven or event-driven systems (e.g., Temporal) where operations are long-running and state must remain consistent across retries and failures. Preferred Qualifications • State Reconciliation: Experience building informers or reconciliation bridges that keep an external datastore consistent with Kubernetes resource state. • Multi-Tenancy: Experience building platforms where strict data and network isolation between tenants is required. • Infrastructure-as-Code: Familiarity with Terraform/OpenTofu and GitOps-driven configuration (ArgoCD or Flux). • Hardware Domain: Familiarity with GPU server hardware, DPUs/NICs, and high-performance datacenter fabrics. Additional Information What does Mirantis offer you? - 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. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected] By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

Design and implement infrastructure services including APIs, provisioning workflows, and user interfaces for GPU-as-a-Service platform. | Experience with REST/gRPC API design, Go and TypeScript/React proficiency, Kubernetes knowledge, and bare-metal provisioning expertise. | About Mirantis 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. Job Description We are looking for an experienced Full-Stack Software Engineer to design and implement the Infrastructure Services that power our GPU-as-a-Service platform. You will build the control plane that turns high-level API calls into real infrastructure actions — enrolling bare-metal servers, provisioning them, and assembling them into multi-tenant Kubernetes clusters on high-performance hardware. You will own the full lifecycle of the infrastructure-level services—from the Server and MachineType APIs down to the provisioning workflows and reconciliation loops that keep the platform's view of hardware consistent with physical reality. Key Responsibilities • Infrastructure API Design: Design, build, and maintain the versioned REST and gRPC APIs for bare-metal server lifecycle, MachineType definitions, and cluster CRUD operations. • Provisioning & Workflow Development: Develop the asynchronous workflows that drive server enrollment, inspection, OS provisioning, and cluster bring-up, exposing durable status to callers. • Full-Stack Implementation: Implement and maintain the consoles and interfaces that visualize hardware inventory, provisioning progress, and cluster health. • System Reliability: Design the error-handling models, idempotency guarantees, and reconciliation loops necessary to manage long-running provisioning operations reliably. Qualifications • API Development: Strong experience designing RESTful APIs or gRPC services. You understand API versioning and gateway patterns. • Language Stack: Proficiency in Go (preferred for backend/Kubernetes ecosystem) and modern TypeScript/React (for the Console). • Kubernetes Knowledge: Deep understanding of Kubernetes primitives and controller/reconciler patterns. You will be interacting with systems like k0rdent, Metal3, and Cluster API to translate high-level API calls into infrastructure actions. • Bare-Metal Provisioning: Hands-on experience with bare-metal provisioning flows — BMC/Redfish, PXE/iPXE, image management, and hardware inspection. • Asynchronous Systems: Experience building workflow-driven or event-driven systems (e.g., Temporal) where operations are long-running and state must remain consistent across retries and failures. Preferred Qualifications • State Reconciliation: Experience building informers or reconciliation bridges that keep an external datastore consistent with Kubernetes resource state. • Multi-Tenancy: Experience building platforms where strict data and network isolation between tenants is required. • Infrastructure-as-Code: Familiarity with Terraform/OpenTofu and GitOps-driven configuration (ArgoCD or Flux). • Hardware Domain: Familiarity with GPU server hardware, DPUs/NICs, and high-performance datacenter fabrics. Additional Information What does Mirantis offer you? - 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. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

Lead operation and reliability of large-scale AI infrastructure using Kubernetes and NVIDIA GPUs, drive automation, and mentor junior engineers. | 7+ years in infrastructure/platform operations with expert Linux and Kubernetes skills and strong networking and incident management expertise. | 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. https://www.mirantis.com/ Job Description 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. Responsibilities Technical Operations & Service Reliability 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. Platform Operations & Engineering 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. Technical Leadership 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. Qualifications 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. Preferred Experience Experience in one or more of the following areas is highly desirable: NVIDIA GPU infrastructure and accelerated computing platforms. InfiniBand networking and NVIDIA UFM. AI infrastructure environments. HPC environments. Platform Engineering or Site Reliability Engineering (SRE). Large-scale Kubernetes operations. 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. Why Join Us? 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. Additional Information What does Mirantis offer you? 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. We are a Leader for Container Management in G2 (#2 after AWS)!

Lead end-to-end delivery of complex client-facing AI and cloud projects ensuring alignment with business goals and delivery excellence. | 5+ years managing client-facing technical projects with strong leadership, technical fluency, and experience in cloud-native and AI environments. | Job Description Mirantis helps organizations achieve digital self-determination by giving them full control over their strategic infrastructure. We combine intelligent automation with deep cloud-native expertise to help enterprises build, operate, and scale modern platforms-from data center to edge. Our clients include some of the world's most innovative enterprises, and increasingly rely on us to deliver not only cloud platforms, but also AI-driven and data-centric solutions that transform how they operate. The Role We're looking for a client-facing Project Manager who can lead the delivery of complex, multidisciplinary initiatives across cloud, platform, and AI domains. This is not a traditional project coordination role. You will operate as a delivery leader and trusted advisor, working directly with clients to shape, guide, and execute high-impact programs - often in fast-evolving and ambiguous environments. You'll partner closely with engineers, architects, and client stakeholders to translate business goals into executable plans, while ensuring delivery excellence and long-term customer success. What You'll Do • Lead end-to-end delivery of client-facing projects across cloud infrastructure, Kubernetes, and AI/data initiatives • Act as the primary point of contact for clients, building trust and guiding them through complex technical programs • Translate business objectives into clear delivery plans, aligning stakeholders across client and internal teams • Work closely with engineering teams to understand technical tradeoffs, dependencies, and risks to drive execution • Manage delivery in iterative and evolving environments, especially for projects where scope and outcomes may develop over time • Proactively identify risks, issues, and dependencies, and drive practical, outcome-oriented resolutions • Ensure strong financial and commercial management of projects, including scope control, change management, and margin awareness • Facilitate clear, concise communication across all levels, including executive stakeholders • Contribute to account growth by identifying follow-on opportunities and helping shape new engagements • Continuously improve delivery practices, bringing structure where needed while maintaining flexibility for innovation Qualifications What You Bring • 5+ years of experience managing client-facing technical projects in a professional services or consulting environment • Proven ability to lead complex, cross-functional programs with distributed teams • Strong client presence with the ability to influence stakeholders and operate as a trusted advisor • Solid technical fluency - you can "speak engineering" and understand how systems are built, even if you're not hands-on • Experience working in cloud-native environments (e.g., Kubernetes, containers, distributed systems) • Ability to thrive in ambiguous, fast-moving environments, especially where solutions are being defined in parallel with delivery • Strong communication, organization, and problem-solving skills • A pragmatic, outcome-driven mindset - you focus on delivering value, not just managing tasks • Comfort managing projects where success is iterative and hypothesis-driven, rather than fully predefined Nice to Have • Experience with Kubernetes, OpenStack, or similar infrastructure platforms • PMP or equivalent certification • Experience with proposal development or pre-sales support • Familiarity with modern delivery tools and agile methodologies • Experience delivering or supporting AI/ML, data platform, or automation projects • Familiarity with concepts such as LLMs, data pipelines, model lifecycle, or experimentation workflows • Comfort managing projects where success is iterative and hypothesis driven, not necessarily pre-determined What Success Looks Like • Clients view you as a trusted partner, not just a project manager • Projects are delivered with high quality, strong client satisfaction, and clear business outcomes • You effectively bridge business goals and technical execution • You help expand engagements through credible delivery and proactive insight • You bring structure without slowing down innovation-especially in AI-driven work Additional Information What does Mirantis offer you? • 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. • Receive a competitive compensation package with strong benefits plan We are a Leader for Container Management in G2 (#2 after AWS)!