Jobs at Mirantis

Own technical relationships with enterprise customers, architect Kubernetes and OpenStack AI infrastructure solutions, lead proof-of-concepts, deploy and debug platforms, support complex sales cycles, and build trust with regulated-industry accounts across French-speaking Europe.

Design, deploy, maintain, and troubleshoot cloud-based AI infrastructure built on Kubernetes, OpenStack, open-source software, and NVIDIA-certified hardware. Optimize reliability, scalability, security, networking, storage, and performance; implement AI-driven DevOps automation; resolve complex infrastructure issues; participate in code reviews; collaborate with global stakeholders; mentor team members; and provide technical knowledge transfer to customers.

Design, deploy, maintain, and troubleshoot cloud-based AI infrastructure built on Kubernetes, OpenStack, and NVIDIA-certified hardware. Improve reliability, scalability, performance, security, and automation across distributed systems and DevOps lifecycles. Resolve complex networking, storage, Linux, and Kubernetes issues; collaborate with international stakeholders; conduct code reviews; mentor colleagues and customers; and support technical strategy, delivery, and knowledge transfer.

Design, deploy, operate, and troubleshoot cloud-based AI infrastructure built on Kubernetes, OpenStack, and NVIDIA hardware. Optimize reliability, scalability, security, and performance across distributed systems, networking, storage, and CI/CD environments. Collaborate with international teams and customers, define technical requirements, resolve complex issues, implement AI-driven DevOps automation, participate in code reviews, and mentor colleagues and customers during delivery.

Design, deploy, maintain, and troubleshoot cloud-based AI infrastructure built on Kubernetes, OpenStack, Linux, and NVIDIA hardware. Optimize reliability, performance, scalability, security, networking, and storage; develop AI-driven DevOps automation; resolve complex technical issues; participate in code reviews; collaborate with international teams and stakeholders; mentor colleagues and customers; and support customer knowledge transfer.

Own end-to-end US recruiting for technical and business roles, including sourcing, pipeline development, hiring-manager advising, candidate experience, and closing. Recruiters will support engineering, product, account executive, pre-sales architect, and other go-to-market hiring. The role requires independent management of multiple searches, talent-market research, ATS administration in SmartRecruiters, and collaboration across distributed teams and time zones.

Design, deploy, maintain, and troubleshoot cloud-based AI infrastructure built on Kubernetes, OpenStack, Linux, and NVIDIA hardware. Optimize reliability, scalability, performance, and security across distributed systems, networking, storage, and CI/CD environments. Collaborate with international stakeholders, resolve complex technical issues, contribute to code reviews, implement AI-driven DevOps automation, mentor team members, and provide customer knowledge transfer. Travel of up to 25% may be required.

Own technical relationships with enterprise customers, architect Kubernetes, OpenStack, and AI infrastructure solutions, lead proof-of-concepts, deploy and debug platforms, and support infrastructure sales cycles. The role focuses on regulated industries across French-speaking Europe, requiring strong cloud-native expertise, customer-facing architecture skills, and the ability to translate infrastructure constraints into deployable solutions. Responsibilities also include technical evangelism, account expansion, and providing field feedback to product and go-to-market teams.

Provides department-wide technical direction for k0rdent across Kubernetes, AI infrastructure, AI applications, and observability. Designs cross-cutting systems, establishes engineering standards, resolves architectural risks, mentors Staff and Principal engineers, and aligns product strategy with durable technical execution. The role also engages customers, partners, upstream communities, and industry forums while contributing code and prototypes to solve complex infrastructure problems.

Lead Mirantis’s repositioning from private cloud infrastructure to full-stack AI infrastructure. Own enterprise and CSP/Neocloud marketing, develop market positioning, build brand and analyst visibility, drive ecosystem partnerships with NVIDIA and other AI infrastructure players, and connect marketing efforts to measurable pipeline and market impact. Reshape and lead the existing marketing team while operating with a moderate budget and close executive, sales, product, and business development collaboration.

Build and own a multi-tenant web platform for managing AI infrastructure. Develop Next.js and React features, server-side authentication and API proxying, generated TypeScript SDKs, resilient data synchronization, design-system components, accessibility, performance, testing, observability, and production deployment. Collaborate with backend and globally distributed teams, review code, troubleshoot production issues, and mentor junior engineers.

Build and maintain a full-stack Next.js and React platform for managing multi-tenant AI infrastructure. Responsibilities include server and client development, authentication and authorization, API proxying, SDK generation, data synchronization, design-system components, testing, accessibility, performance, observability, and production debugging. The role collaborates with global backend and product teams, contributes to API contracts, reviews code, and mentors junior engineers.

Own technical relationships with enterprise customers in French-speaking Europe. Architect Kubernetes, OpenStack, and AI infrastructure solutions; lead proof-of-concepts, deploy platforms, prototype AI workloads, debug deployments, and support enterprise sales cycles. Build trust with CTOs, platform teams, and infrastructure leaders, particularly in regulated industries. Provide technical continuity from discovery through expansion and feed customer insights into product and go-to-market strategy.

Owns Kubernetes-based development, CI, pre-production, and customer-facing production environments. Responsibilities include SRE operations, incident response, on-call support, Helm and CI/CD lifecycle management, infrastructure automation, observability, security, disaster recovery, stateful platform services, and multi-region deployments. The role also provides technical consultation, creates operational documentation, validates upgrades, and mentors engineers.

Own the event-streaming and transactional database backbone for a multi-tenant GPU infrastructure platform. Design and operate highly available PostgreSQL and Kafka across Kubernetes and bare metal, develop custom Go clients and connectors, build CDC and identity integrations, and implement multi-tenant security. Lead cross-region disaster recovery, replication, failover, performance tuning, GitOps automation, and self-service provisioning using Terraform and ArgoCD.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Develop Rust and Go control-plane microservices, Kubernetes operators, and reconciliation engines for AI infrastructure. Design APIs and architecture specifications, integrate datacenter networking operating systems and DPU platforms, instrument distributed systems with OpenTelemetry, and perform diagnostics and testing. The role requires strong Rust, Kubernetes, concurrency, distributed systems, gRPC/Protobuf, and architecture skills, with desired expertise in networking protocols, bare-metal provisioning, DPUs, Linux systems, security, and virtualization.

Design and develop Rust and Go control-plane microservices, Kubernetes operators, reconciliation engines, and APIs for bare-metal AI infrastructure. Integrate datacenter networking systems, DPUs, network operating systems, and hardware-management platforms. Build observability with OpenTelemetry, troubleshoot distributed systems, and maintain rigorous testing practices. The role requires expertise in datacenter networking protocols, Linux networking, Kubernetes, provisioning, security, virtualization, and high-performance interconnects, along with architectural documentation and open-source collaboration.

Design and build enterprise LLM-serving infrastructure on Kubernetes, including GPU scheduling, scaling, model lifecycle management, Helm packaging, offline deployments, platform integrations, and production observability. Contribute across a multi-service Go codebase, create design documentation, participate in reviews, and help guide engineering direction within an autonomous remote-first team.

Own the vision, roadmap, backlog, and priorities for k0rdent AI observability across GPU infrastructure and distributed AI workloads. Define integrations for metrics, tracing, logs, telemetry, and alerting across Kubernetes, networking, storage, schedulers, inference platforms, and databases. Partner with engineering, marketing, field teams, customers, and ecosystem vendors to shape requirements, evaluate trade-offs, develop positioning, and support deployments.