Mirantis

Design and build control-plane services and infrastructure-as-code pipelines for Kubernetes storage systems. | Requires 7+ years Golang, 5+ years distributed systems and Kubernetes experience, plus strong Linux and storage knowledge. | 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 Required 7+ years of experience with Golang in production systems 5+ years of experience building distributed production systems at scale 5+ years of Kubernetes experience as a developer, with Infrastructure as a Code approach Linux and Kubernetes storage fundamentals (NFS, CSI) Preferred Proficiency in Python Experience developing or integrating High Performance 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. #remote We are a Leader for Container Management in G2 (#2 after AWS)!

Design and build control-plane services and tooling for high-performance Kubernetes storage systems. | 7+ years Go experience, 5+ years distributed systems, strong Kubernetes and Linux storage knowledge. | 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 Required: 7+ years of experience with GO (Golang) in production systems 5+ years of experience building distributed production systems at scale 5+ years of Kubernetes experience as a developer, with Infrastructure as a Code approach Linux and Kubernetes storage fundamentals (NFS, CSI) Preferred Proficiency in Python Experience developing or integrating High Performance 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. #remote We are a Leader for Container Management in G2 (#2 after AWS)!

Operate and automate high-performance storage integration with Kubernetes clusters for GPU/AI workloads. | 7+ years SRE/infrastructure operations, 5+ years distributed storage systems, expertise in Linux and Kubernetes storage fundamentals. | Job Description Overview Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms. You will own the storage layer where Kubernetes meets bare metal - standing up NFS-based high-performance storage, wiring it into clusters via CSI, and tuning it to keep data flowing to GPU workloads at scale. Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack. About the Role We are looking for a senior DevOps engineer who treats storage as infrastructure to be automated, observed, and tuned - not hand-managed. The right candidate is fluent in Kubernetes storage, deeply versed in Linux storage and networking fundamentals down to the kernel and NFS-client layer, and knows how to make high-performance NAS actually perform under demanding workloads. You should reach for infrastructure-as-code and GitOps by default, be self-directed in diagnosing performance and reliability issues end to end, set operational standards for others to follow, and communicate clearly across teams. Bare-metal hardware experience is a strong plus, but deep Linux storage knowledge is essential. Responsibilities 1. Storage Integration & Operation • Integrate NFS-based high-performance storage (e.g., VAST, Dell PowerScale) into Kubernetes clusters via CSI, storage classes, and persistent volumes. • Tune the NFS data path - mount options, nconnect/RDMA, Linux client, and network settings - for high-throughput, low-latency GPU/AI workloads. • Deploy and operate storage services and operators; manage capacity, quotas, snapshots, and lifecycle. 2. Linux Platform & System Integration • Configure and optimize Linux systems for storage workloads, including driver setup, file system layout, network tuning, and kernel parameter optimization. • Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies. • Operate storage in fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations. 3. Automation & Observability • Automate storage provisioning and configuration with infrastructure-as-code (Terraform/OpenTofu) and GitOps pipelines (ArgoCD or Flux). • Build monitoring, alerting, and observability for storage performance, capacity, and health. • Diagnose and resolve performance, reliability, and scaling issues across the storage stack. Qualifications Required qualifications: • 7+ years of experience in SRE or infrastructure operations • 5+ years of building/operating distributed production Storage systems at scale • Hands-on with High Performance Storage solutions (VAST, Weka, DDN, PowerScale) • Linux and Kubernetes storage fundamentals (NFS, CSI) 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)!

Operate and optimize high-performance storage integrated with Kubernetes clusters for GPU/AI workloads. | 7+ years SRE/infrastructure operations, 5+ years distributed storage systems, hands-on with high-performance storage solutions, Linux and Kubernetes storage fundamentals. | Job Description Overview Deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms. You will own the storage layer where Kubernetes meets bare metal - standing up NFS-based high-performance storage, wiring it into clusters via CSI, and tuning it to keep data flowing to GPU workloads at scale. Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack. About the Role We are looking for a senior DevOps engineer who treats storage as infrastructure to be automated, observed, and tuned - not hand-managed. The right candidate is fluent in Kubernetes storage, deeply versed in Linux storage and networking fundamentals down to the kernel and NFS-client layer, and knows how to make high-performance NAS actually perform under demanding workloads. You should reach for infrastructure-as-code and GitOps by default, be self-directed in diagnosing performance and reliability issues end to end, set operational standards for others to follow, and communicate clearly across teams. Bare-metal hardware experience is a strong plus, but deep Linux storage knowledge is essential. Responsibilities 1. Storage Integration & Operation • Integrate NFS-based high-performance storage (e.g., VAST, Dell PowerScale) into Kubernetes clusters via CSI, storage classes, and persistent volumes. • Tune the NFS data path - mount options, nconnect/RDMA, Linux client, and network settings - for high-throughput, low-latency GPU/AI workloads. • Deploy and operate storage services and operators; manage capacity, quotas, snapshots, and lifecycle. 2. Linux Platform & System Integration • Configure and optimize Linux systems for storage workloads, including driver setup, file system layout, network tuning, and kernel parameter optimization. • Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies. • Operate storage in fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations. 3. Automation & Observability • Automate storage provisioning and configuration with infrastructure-as-code (Terraform/OpenTofu) and GitOps pipelines (ArgoCD or Flux). • Build monitoring, alerting, and observability for storage performance, capacity, and health. • Diagnose and resolve performance, reliability, and scaling issues across the storage stack. Qualifications Required qualifications: • 7+ years of experience in SRE or infrastructure operations • 5+ years of building/operating distributed production Storage systems at scale • Hands-on with High Performance Storage solutions (VAST, Weka, DDN, PowerScale) • Linux and Kubernetes storage fundamentals (NFS, CSI) 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)!

Design and build control-plane services and tooling for high-performance Kubernetes storage systems. | 7+ years Go, 5+ years distributed systems, 5+ years Kubernetes, strong Linux and storage fundamentals. | 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 Required: 7+ years of experience with Go in production systems 5+ years of experience building distributed production systems at scale 5+ years of Kubernetes experience as a developer, with Infrastructure as a Code approach Linux and Kubernetes storage fundamentals (NFS, CSI) 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 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)!