Mirantis

Architect and operate hybrid-cloud Kubernetes platforms, implement GitOps CI/CD and DevSecOps practices, and lead cloud modernization initiatives. | Requires a technical bachelor's degree, at least five years of progressive engineering experience, and demonstrated expertise in Kubernetes, hybrid cloud, CI/CD automation, and Linux. | 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 Mirantis Inc. seeks a Cloud Infrastructure Engineer - Kubernetes & KubeVirt at its facility located at 14205 North Mopac Expressway, Austin, TX 78728. The Cloud Infrastructure Engineer - Kubernetes & KubeVirt will architect and deliver enterprise-grade Kubernetes platforms deployed across hybrid AWS and Azure environments, supporting mission-critical workloads. Design, implement, and operate Kubernetes-based infrastructure to support both containerized and virtualized workloads, leveraging KubeVirt to unify VM and container management, reducing infrastructure complexity and improving operational efficiency. Build and maintain production observability platforms to improve mean time to resolution (MTTR) and overall system reliability. Establish and enforce DevSecOps standards, including Harbor registry security, image scanning, container security controls, access management, RBAC enforcement, and compliance baselines. Automate infrastructure provisioning using Infrastructure as Code, standardizing environments and reducing deployment times. Implement and operate Argo CD-based GitOps deployment workflows to ensure reproducible and auditable releases across environments. Lead cloud modernization initiatives, migrating legacy platforms to cloud-native architectures. Define and maintain organizational cloud governance, security policies, and compliance frameworks. Provide technical leadership through mentoring, technical design reviews, and collaboration with cross-functional and geographically distributed teams. Implement and support multi-network pod configurations using Multus CNI to enable complex VM and container networking use cases. Implement and manage GitOps-based CI/CD pipelines using Argo CD and Helm to support controlled, auditable infrastructure changes. Develop and maintain reusable reference architectures and automation frameworks for repeatable Kubernetes deployments. Design and operate Kubernetes networking solutions for bare-metal and hybrid clusters, including MetalLB-based load balancing. Troubleshoot advanced Kubernetes networking issues involving CNI plugins, secondary interfaces, IPAM, and traffic routing. Integrate networking configurations with KubeVirt workloads requiring multiple network attachments. Telecommuting permitted. Qualifications Education: Bachelor’s degree or foreign degree equivalent in Computer Science, Electrical Engineering, Electronics Engineering, or related field. Experience: Five (5) years of post-baccalaureate progressive experience in job offered, Software Engineer, Software Developer, Systems Engineer, or in a related occupation. Academic training or work experience in the following: 1. Design and operation of production level Kubernetes clusters for enterprise workloads 2. AWS or Azure production infrastructure, including hybrid or multi-cloud architecture design 3. CI/CD pipeline implementation using Argo CD and JFrog Artifactory for automated application and infrastructure deployments 4. Infrastructure as Code using Terraform or Ansible for large-scale environment automation 5. Linux system administration in production environments 6. DevSecOps practices, including Harbor registry security, access management, and compliance alignment 7. Monitoring and observability platforms for production systems Applicants who are interested in this position should apply online at https://www.mirantis.com/careers search Cloud Infrastructure Engineer - Kubernetes & KubeVirt (REF1242M) 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 maintain secure secrets-management and PKI systems, integrating them with other services and meeting security standards. | Requires 5+ years of software engineering focused on infrastructure and security, with strong expertise in PKI, secrets-management platforms, and cryptographic practices. | About Mirantis Mirantis, an IREN company, 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 We're looking for a Senior Software Engineer specializing in Secrets Management and Public Key Infrastructure (PKI) to join our team in Campbell, United States. In this role, you will design, develop, and maintain secure systems that protect sensitive credentials and cryptographic assets across our organization. You'll work on complex infrastructure challenges, ensuring that secrets management and PKI solutions are robust, scalable, and compliant with industry security standards. This is an excellent opportunity for a detail-oriented engineer who is passionate about security and infrastructure excellence. Design and implement enterprise-grade secrets management solutions using industry-leading platforms such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault Develop and maintain Public Key Infrastructure (PKI) systems, including certificate lifecycle management, certificate authority operations, and cryptographic key management Architect secure credential rotation mechanisms and automated provisioning workflows to minimize security risks Collaborate with security, infrastructure, and application teams to integrate secrets management and PKI solutions across the organization Conduct security audits and vulnerability assessments of existing secrets management and PKI implementations Develop comprehensive documentation, runbooks, and best practice guides for secrets management and PKI operations Troubleshoot and resolve complex issues related to certificate management, key storage, and credential access Stay current with emerging security threats, cryptographic standards, and industry best practices in secrets management and PKI Mentor junior engineers and contribute to the development of security-focused engineering practices Ensure compliance with regulatory requirements and organizational security policies Qualifications Required Qualifications: 5+ years of professional software engineering experience with a focus on infrastructure and security systems 3+ years of hands-on experience with secrets management platforms (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or equivalent) Strong expertise in Public Key Infrastructure (PKI), certificate management, and X.509 standards Proficiency in cryptographic concepts, encryption protocols, and secure key management practices Experience with Hardware Security Modules (HSMs) and cryptographic hardware integration Solid programming skills in languages such as Go, Python, Java, or C++ Deep understanding of identity and access management (IAM) principles and practices Experience with infrastructure-as-code tools and automation frameworks Strong analytical and problem-solving skills with meticulous attention to detail Excellent communication skills and ability to work effectively across technical and non-technical teams Preferred Qualifications: Experience with cloud-native security architectures and containerized environments Familiarity with security compliance frameworks (FIPS 140-2, SOC 2, ISO 27001) Knowledge of certificate transparency and OCSP (Online Certificate Status Protocol) Experience with security incident response and forensics Contributions to open-source security projects or communities Experience with CI/CD pipeline security and secrets scanning tools Understanding of zero-trust security models and their implementation Additional Information Why you’ll love Mirantis Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises Collaborate with a world-class, distributed team committed to openness and technical excellence Shape the product narrative and influence go-to-market success 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 maintain secrets management and PKI systems, integrate them across teams, and ensure compliance with security standards. | Requires 5+ years of software engineering focused on infrastructure and security, with strong PKI, secrets management, and cryptographic expertise. | About Mirantis Mirantis, an IREN company, 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 We're looking for a Senior Software Engineer specializing in Secrets Management and Public Key Infrastructure (PKI) to join our team in Campbell, United States. In this role, you will design, develop, and maintain secure systems that protect sensitive credentials and cryptographic assets across our organization. You'll work on complex infrastructure challenges, ensuring that secrets management and PKI solutions are robust, scalable, and compliant with industry security standards. This is an excellent opportunity for a detail-oriented engineer who is passionate about security and infrastructure excellence. Design and implement enterprise-grade secrets management solutions using industry-leading platforms such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault Develop and maintain Public Key Infrastructure (PKI) systems, including certificate lifecycle management, certificate authority operations, and cryptographic key management Architect secure credential rotation mechanisms and automated provisioning workflows to minimize security risks Collaborate with security, infrastructure, and application teams to integrate secrets management and PKI solutions across the organization Conduct security audits and vulnerability assessments of existing secrets management and PKI implementations Develop comprehensive documentation, runbooks, and best practice guides for secrets management and PKI operations Troubleshoot and resolve complex issues related to certificate management, key storage, and credential access Stay current with emerging security threats, cryptographic standards, and industry best practices in secrets management and PKI Mentor junior engineers and contribute to the development of security-focused engineering practices Ensure compliance with regulatory requirements and organizational security policies Qualifications Required Qualifications: 5+ years of professional software engineering experience with a focus on infrastructure and security systems 3+ years of hands-on experience with secrets management platforms (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or equivalent) Strong expertise in Public Key Infrastructure (PKI), certificate management, and X.509 standards Proficiency in cryptographic concepts, encryption protocols, and secure key management practices Experience with Hardware Security Modules (HSMs) and cryptographic hardware integration Solid programming skills in languages such as Go, Python, Java, or C++ Deep understanding of identity and access management (IAM) principles and practices Experience with infrastructure-as-code tools and automation frameworks Strong analytical and problem-solving skills with meticulous attention to detail Excellent communication skills and ability to work effectively across technical and non-technical teams Preferred Qualifications: Experience with cloud-native security architectures and containerized environments Familiarity with security compliance frameworks (FIPS 140-2, SOC 2, ISO 27001) Knowledge of certificate transparency and OCSP (Online Certificate Status Protocol) Experience with security incident response and forensics Contributions to open-source security projects or communities Experience with CI/CD pipeline security and secrets scanning tools Understanding of zero-trust security models and their implementation Additional Information Why you’ll love Mirantis Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises Collaborate with a world-class, distributed team committed to openness and technical excellence Shape the product narrative and influence go-to-market success 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)!

Deploy, operate, and scale PostgreSQL and Kafka platforms on Kubernetes, manage reliability and disaster recovery, and provide self-service capabilities for product teams. | Requires 8+ years in DevOps or SRE, including 3+ years operating production stateful systems, strong Kubernetes and database administration expertise, Go or Python automation skills, and a bachelor's degree. | Mirantis, an IREN company, 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 We are looking for a Senior Data Platform Engineer to run the PostgreSQL and Apache Kafka platform behind k0rdent-ai — our multi-tenant control plane for enterprise GPU infrastructure. Every cluster provisioned, every GPU-hour consumed, and every tenant action is recorded on this platform, so it must be reliable, secure, and recoverable. This is a hands-on DevOps / SRE role for stateful systems. You will deploy and operate PostgreSQL (CloudNativePG) and Kafka (Strimzi) on Kubernetes using operators, Helm, and GitOps — across cloud and bare-metal clusters, in a global control plane and multiple regions. You will own automation, upgrades, observability, backups, and disaster recovery, and give product teams self-service access to databases and topics through code. Main Responsibilities Run PostgreSQL and Kafka on Kubernetes: Deploy, upgrade, scale, and operate CloudNativePG and Strimzi clusters with Helm charts and operator custom resources, across cloud and bare-metal Kubernetes. GitOps & Infrastructure as Code: Manage everything declaratively with Argo CD (or Flux), Helm, and Terraform; build CI/CD pipelines for database and Kafka changes, schema migrations, and operator upgrades. High Availability & Disaster Recovery: Design and operate high availability within each region and cross-region disaster recovery — PostgreSQL replica clusters, backups and point-in-time recovery, Kafka MirrorMaker 2 — with defined RPO/RTO targets and regular failover drills. Self-Service Platform: Give product teams self-service provisioning of databases, users, topics, and ACLs through code, with secure defaults and guardrails. Observability & Operations: Build monitoring and alerting (Prometheus, Grafana, OpenTelemetry) for replication lag, backups, consumer lag, and capacity; participate in on-call and lead incident reviews. Security & Multi-Tenancy: Implement TLS/mTLS, secrets management (Vault/OpenBao), network policies, Kafka ACLs, and per-tenant isolation; integrate database and Kafka access with our identity platform (Keycloak / OIDC). Data Movement & CDC: Operate the outbox and change-data-capture pipelines (Debezium, Kafka Connect) that keep databases and event streams consistent between the global control plane and regions. Automation & Tooling: Write automation and small services in Go or Python to remove manual work, and partner with application teams on schema standards and performance troubleshooting. Qualifications Must Have Experience: 8+ years in DevOps, SRE, platform, or infrastructure engineering, including 3+ years running stateful systems (databases or message streaming) in production. Kubernetes: Strong hands-on Kubernetes operations — StatefulSets, persistent volumes and storage classes, pod disruption budgets, scheduling and affinity, network policies, and cluster upgrades — on cloud and/or bare-metal clusters. Operators & Helm: Production experience running PostgreSQL and/or Kafka through Kubernetes operators (CloudNativePG, Zalando, or Crunchy PGO; Strimzi, Confluent for Kubernetes, or similar), and authoring and maintaining Helm charts. Depth with one operator matters more than the specific product. GitOps & IaC: Day-to-day use of Argo CD or Flux, Terraform, and CI/CD pipelines (GitHub Actions, GitLab CI, or similar) in a declarative, review-driven workflow. PostgreSQL Operations: Practical PostgreSQL administration — replication and failover, backup and point-in-time recovery, connection pooling (PgBouncer), version upgrades, and performance troubleshooting. Kafka Operations: Running Kafka in production — brokers, topics and partitions, replication, consumer groups, monitoring, and capacity planning. Reliability & DR: Designing and testing high availability and disaster recovery for stateful systems, with defined RPO/RTO. Automation: Strong scripting and programming in Go (preferred) or Python, plus Bash. Nice to Have Cross-region replication (CloudNativePG replica clusters, Kafka MirrorMaker 2) and global/regional multi-site architectures. Debezium, Kafka Connect, and transactional outbox / CDC patterns. Identity integration for data platforms (Keycloak, OIDC, LDAP/Active Directory). Observability stacks (Prometheus, Grafana, OpenTelemetry, VictoriaMetrics). Secrets and security tooling (Vault/OpenBao, cert-manager, mTLS). Bare-metal infrastructure, Ceph or object storage, or GPU/AI infrastructure. Contributions to CloudNativePG, Strimzi, or related open-source projects. Experience in SOC 2 or ISO 27001 environments. Education and Experience Bachelor's degree in Computer Science or a related field, or equivalent practical experience. 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 a development team building secure, scalable cloud-native platforms while setting technical direction, developing talent, and balancing feature delivery with platform stability. | Requires a bachelor's or master's degree in computer science or a related field, 7–10 years of software engineering experience, and expertise in distributed systems, cloud-native infrastructure, secure SDLC, and team leadership. | Mirantis, an IREN company, 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 seeking a talented Senior Engineering Manager to lead our development team! We build enterprise software that addresses operational, security, and compliance challenges of managing cloud-native platforms such as Kubernetes, while providing enterprise customers with integrated tools for running containerized workloads securely. Our enterprise container platform manages mission-critical services for major global organizations and enterprise customers around the world. Main Responsibilities: Driving Technical Vision & Operational Excellence: Define and execute the long-term technical strategy and roadmap while maintaining rigorous operational excellence, high availability, and robust software engineering practices. Drive continuous improvement in system resilience, operational metrics, and platform performance. Security Leadership & Secure SDLC: Embed security best practices across all stages of the software development lifecycle (SDLC), including the secure integration and governance of AI technologies and agentic workflows. Champion security architecture, threat modeling, vulnerability management, and secure coding practices to safeguard cloud-native platforms and enterprise customer workloads. Hiring, Talent Development & Team Empowerment: Hire, mentor, and grow a high-performing engineering organization. Build clear career progression paths, foster an inclusive culture, and empower engineers to take ownership of quality, platform health, and technical innovations. Balancing Features and Platform Stability: Partner closely with Product Management and executive leadership to align feature delivery with technical debt reduction, system stability, and security enhancements, making disciplined trade-off decisions grounded in operational metrics and customer needs. Cross-Functional Collaboration & Customer Focus: Communicate effectively with executive stakeholders, enterprise customers, and cross-functional teams. Translate real-world customer usage patterns and operational feedback into actionable engineering priorities and platform guardrails. Industry Trends & Continuous Innovation: Stay up-to-date with emerging industry trends, containerization innovations, and cloud-security standards, driving adoption of modern tools and methodologies to maintain technical leadership. Qualifications Qualifications and Experience Requirements: Education: a bachelor's or master's degree in Computer Science or a related field is required. A degree in a relevant field such as software engineering, computer engineering or information technology could also be suitable. Experience: Minimum of 7–10 years in software engineering with demonstrated experience leading or managing engineering teams in commercial software ecosystems. Technical and Security Expertise: Strong technical depth in distributed systems, cloud-native infrastructure, secure SDLC practices, and operational metrics in enterprise production environments. Leadership, Hiring & People Management: Demonstrated success in attracting, hiring, and developing top engineering talent, setting technical vision, establishing operational excellence standards, and leading engineering teams through complex deliverables. Communication skills: excellent communication skills, including the ability to present technical information in a clear and concise manner, collaborate with stakeholders, and work effectively in a team environment. Management Coaching (Preferred): Experience in coaching, mentoring, and managing engineering managers or team leads is a strong plus. 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 LLM serving infrastructure on Kubernetes with GPU scheduling and observability tools. | 5+ years in infrastructure or distributed systems with Kubernetes expertise and strong Go programming skills. | Mirantis, an IREN company, 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 What you'll do Design and build LLM serving infrastructure on Kubernetes: deployment, GPU scheduling, scaling, and model lifecycle management. Package the platform for enterprise environments: Helm-based installs, upgrades, and restricted/offline networks. Integrate the serving layer with the platform's API gateway, identity, and metering services. Build the observability for operating GPU inference in production (serving metrics, GPU telemetry). Contribute across a multi-service codebase and help set engineering direction through design docs and reviews. Qualifications What we're looking for 5+ years of software engineering experience in infrastructure, platform, or distributed systems. Deep hands-on Kubernetes experience: building and operating production workloads and Helm charts, not just consuming managed clusters. Experience with GPU workloads or LLM inference, or strong adjacent systems experience and a track record of learning fast. Strong Go programming skills; solid CI/CD and infrastructure-as-code skills. Fluency with AI-assisted development tools (Claude Code, OpenAI Codex) as part of your daily engineering workflow. Comfortable with high autonomy on a small, remote-first, written-culture team. Nice to have Inference performance work (quantization, batching, caching) or distributed serving frameworks. Enterprise deployment experience: air-gapped installs, SSO/OIDC, supply-chain security. UI development experience (e.g. React/TypeScript), useful as the product's management surfaces grow. Open-source contributions in the Kubernetes or ML-infrastructure ecosystems. 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 storage in GPU-accelerated AI platforms. | 5+ years in Go development with extensive experience in storage systems, Kubernetes storage, and infrastructure-as-code. | About Mirantis Mirantis, an IREN company, 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 Role 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 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 Why you’ll love Mirantis Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises Collaborate with a world-class, distributed team committed to openness and technical excellence Shape the product narrative and influence go-to-market success 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)!

Define technical roadmap and architectural strategy, hands-on coding, and mentoring senior engineers. | Deep expertise in Kubernetes internals, distributed systems, AI/ML runtimes, technical leadership, and a bachelor's degree or 10+ years experience. | Mirantis, an IREN company, 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 As a Senior Principal Engineer for k0rdent, you will set the technical direction across the entire k0rdent engineering department — spanning core k0rdent, AI Infrastructure, and AI Applications. You are the most senior individual contributor in the organization and the technical counterpart to the engineering leadership team. You will own end-to-end architectural coherence across these three areas, ensuring that the platform they collectively produce is greater than the sum of its parts: a unified, production-grade system for running modern and AI workloads on Kubernetes at enterprise and service provider scale. This role is deeply technical and deliberately broad. You will write code, design systems, prototype the hardest problems, and resolve the architectural decisions. You will partner with the Director(s) of Engineering and Engineering Managers and across the department to translate product strategy into durable technical execution, and you will be the engineering organization's senior technical voice with customers, partners, and upstream communities. Technical Leadership Scope: Provide cross-departmental technical leadership without direct supervisory authority. Mentor and grow Staff and Principal engineers across all three pillars (Core k0rdent, AI Infrastructure, AI Apps), raise the technical bar through architecture and code review, and serve as the department's senior technical representative in cross-functional, customer, and external forums. Main Responsibilities: Own Cross-Departmental Technical Strategy: Define and evolve the multi-quarter technical roadmap for k0rdent as a whole. Ensure that decisions made in core k0rdent, AI Infrastructure, and AI Apps compose into a coherent platform rather than four parallel tracks. Identify the architectural bets that will let k0rdent scale across customers, clouds, hardware generations, and workload types, and drive consensus on which to make. Architect Across Pillars: Lead the design of the highest-risk, cross-cutting components and contracts in the platform — the cluster and state management primitives in KCM/KSM, the GPU/accelerator and AI runtime layer in AI Infrastructure, the application and serving experience in AI Apps, and the telemetry, signal, and SLO surface in Observability. Own the interfaces and abstractions that connect them. Set Engineering Standards: Establish department-wide patterns and quality bars — API design, testing strategy, observability requirements, performance, security, multi-tenancy, and operational readiness. Drive their adoption through example, review, and direct collaboration with Engineering Managers and tech leads. Mentor and Grow Engineers: Coach Staff and Principal engineers across all four pillars and partner with Engineering Managers on technical career development throughout the department. Help calibrate and raise the bar for senior IC hiring. Drive Alignment with the Broader Ecosystem: Partner with engineering leaders outside k0rdent and with upstream communities (Kubernetes, CNCF, OpenTelemetry, CNCF AI/ML projects, model-serving runtimes) to ensure k0rdent's decisions compose cleanly with the broader cloud-native landscape that customers run alongside it. Inform Product and Business Strategy: Work directly with product management and executive leadership to translate customer problems into technical options, and surface the technical realities — risks, costs, time horizons — that should shape product decisions across the department. Represent Mirantis Externally: Engage with customers on the deepest technical questions, contribute to upstream projects, and represent Mirantis in conferences, standards bodies, and technical publications. Business Impact: Architectural Coherence: Ensure that work done across engineering pillars adds up to one platform. This is the single largest source of leverage — and the largest source of risk — at this stage of k0rdent's growth. Revenue Enablement: Unblock and accelerate revenue-driving capabilities by personally owning the cross-cutting technical risks that would otherwise stall product delivery or force costly rewrites. Quality and Reliability: Establish the engineering standards and review practices that keep a platform spanning core orchestration, AI workloads, and observability production-ready. Risk Mitigation: Identify and resolve architectural, security, scalability, and integration risks before they become customer-visible incidents or block strategic deals. Talent Density: Raise the technical ceiling of the entire k0rdent engineering organization by mentoring senior ICs and shaping Staff- and Principal-level hiring. Qualifications Required Skills/Abilities: Deep Technical Breadth: Expert-level proficiency across the surface area k0rdent covers — Kubernetes internals and cluster lifecycle, distributed systems, AI/ML workload runtimes (model serving, GPU scheduling, autoscaling under bursty inference traffic), and modern observability (metrics, logs, traces, SLOs). You don't need to be the deepest expert in all four, but you must be credible and effective in each. Systems Architecture: Demonstrated ability to design large-scale, multi-tenant systems that span multiple subsystems and hold up under real production conditions, and to communicate those designs clearly in writing. Technical Strategy: Ability to look two to three years ahead, identify the architectural decisions that matter most across a broad surface area, and sequence them against business reality. Influence Without Authority: Track record of driving technical direction across multiple teams and organizations through clarity, credibility, and collaboration rather than reporting lines. Mentorship: Demonstrated success developing senior engineers — Staff, Principal, and Tech Lead level — and raising the technical bar of an organization. Communication: Ability to explain complex technical tradeoffs clearly to engineers, executives, customers, and the broader community, in both writing and conversation. Business Judgment: Solid understanding of how engineering decisions translate into cost, revenue, and risk, and willingness to weight technical choices accordingly. Decision-Making Under Uncertainty: Strong judgment in fast-moving domains where the technology — particularly AI infrastructure — is evolving as quickly as the product. Cross-Functional Collaboration: Effective partnership with product management, design, sales engineering, and customer-facing teams across a broad portfolio. Education and Experience: Bachelor’s degree in Computer Science or related field or 10 years related experience. At least five years in a technical leadership role preferred. 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)!

Develop and maintain a full-stack TypeScript web platform for managing AI infrastructure, including frontend React components, backend server logic, authentication, and API integration. | 8+ years professional software engineering experience with deep TypeScript and React knowledge, full-stack development skills, web-tier security, testing discipline, and clear communication. | Mirantis, an IREN company, 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 Seeking a senior full-stack TypeScript engineer to construct the web platform through which enterprise users manage our multi-tenant control plane powering AI infrastructure. This interface allows organizations to establish tenancy, orchestrate GPU resources, configure access policies, and observe cluster metrics in real time. Responsibilities encompass the full web stack: React components integrated with our design system, Next.js server logic for authentication and API proxying to backend Go services, and automated client SDK generation. Collaborating with distributed teams across North America, Europe, and Asia, you will drive frontend features from design phase to production deployment, delivering resilient, information-dense web tools for system administrators. Main Responsibilities: • Build product features end to end in a modern Next.js and React application — server components, route handlers, client interactivity, and the data layer that connects them. • Develop and extend the shared component library and design tokens, implementing Figma specs faithfully across light and dark themes. • Own the server tier that sits between the browser and the platform: request proxying, session handling, and keeping backend service URLs and credentials securely off the client. • Implement authentication and authorization in the web tier — OIDC login against the platform auth service, JWT claim verification, session expiry, and role-based UI gating that mirrors platform permissions. • Maintain the generated TypeScript SDK produced from the platform's OpenAPI specification, including the codegen pipeline, compatibility gates, and drift detection against the live API. • Partner with backend teams on API contracts — push back when a response shape does not efficiently serve the UI, and negotiate the change rather than building front-end workarounds. • Build a resilient data layer: caching, invalidation, optimistic updates, pagination, and honest loading/error states for highly dynamic infrastructure data. • Write tests at every level — component tests with mocked network behavior, and Playwright end-to-end suites that run against live environments. • Ensure accessibility, responsive behavior, and optimal web performance (bundle size, render cost, and what ships to the browser on each route). • Instrument the application for production: error tracking, product analytics, feature flags, and structured logging. • Review peers' code, debug production issues to root cause with regression coverage, and mentor junior engineers through design reviews. Qualifications Required Skills/Abilities: • 8+ years of professional software engineering, including deep production experience with TypeScript and modern React paradigms. • Next.js architecture mastery: deep understanding of the server/client component boundary, caching strategies, and server-side rendering. • Genuine full-stack range: comfortable and secure owning server-side code and API proxies, not just browser-based logic. • Practical web-tier security experience: implementing OAuth2/OIDC flows, JWT verification, and secure cookie/session management. • Architectural fluency in managing complex application state, specifically bridging server-state synchronization with client UI updates. • Strong CSS architecture and design-system practice — utility-first CSS, scalable theming, and accessible component APIs built on headless primitives. • Testing discipline across unit, component, and end-to-end layers, including network mocking and CI integration. • Experience working in a monorepo with shared packages and a task-graph build system. • Clear written English for design docs, review comments, and asynchronous collaboration across global time zones. Must Have (We expect deep production experience in several of these, and the engineering fundamentals to learn the rest rapidly) • Core: TypeScript, React 19, Next.js (App Router), Node.js 22+. • Styling & Components: Tailwind CSS v4, headless primitives (Base UI, Radix), CVA, design tokens, and theming. • Data: TanStack Query, Zod validation, and OpenAPI-generated TypeScript clients. • Auth: OIDC/JWT session handling in a server tier (jose or equivalent), cookie security, and role-based access control. • Testing: Vitest, Testing Library, MSW, and Playwright. • Tooling: pnpm workspaces, Turborepo, ESLint, Prettier, and GitHub Actions. • Production: Error tracking and product analytics (Sentry, PostHog, or equivalent), and Docker-packaged deployment. Nice to Have • Kubernetes or cloud infrastructure product experience (familiarity with the domain this application exposes). • GPU infrastructure or AI/ML platform UI work. • Rich editor integration ( YAML editing and validation), map/geospatial visualization, animations (motion.dev and/or CSS) • Web performance optimization: Core Web Vitals, bundle analysis, streaming, and partial rendering. • Feature-flag driven delivery and experimentation. • Design-system ownership (Ladle, Storybook, visual regression testing). • OpenTelemetry or structured client-side logging. • Go familiarity, for reading the backend services behind the API contract. • CNCF or React/TypeScript ecosystem open-source contributions. Education and Experience: • Bachelor’s degree in Computer Science & Engineering or related field or 10 years related experience. 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 implement infrastructure services for a GPU-as-a-Service platform ensuring hardware consistency and system reliability. | Requires strong Go proficiency, Kubernetes knowledge, bare-metal provisioning, and experience with asynchronous or event-driven systems. | 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 Software Engineer, Infrastructure 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 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)!