Jobs at Mirantis

Architects, deploys, and operates enterprise Kubernetes platforms across hybrid AWS and Azure environments. Supports containerized and virtualized workloads with KubeVirt, builds observability and DevSecOps capabilities, automates infrastructure through Terraform or Ansible, and manages GitOps workflows using Argo CD and Helm. Leads cloud modernization, governance, networking, security, compliance, and troubleshooting for bare-metal and hybrid clusters. Provides technical leadership through mentoring, design reviews, and cross-functional collaboration.

Designs and publishes networking architectures for large-scale GPU clusters and AI infrastructure. Responsibilities include InfiniBand and RoCEv2 fabric design, multi-tenant isolation, Linux and Kubernetes networking, KubeVirt virtualization, hybrid connectivity, research, benchmarking, automation, and customer proofs of concept. The role also presents technical solutions to customers, partners, executives, and industry audiences while influencing the k0rdent AI product roadmap.

Manages deal desk and order operations across the quote-to-cash cycle. Processes and validates orders, coordinates approvals, supports strategic opportunities, maintains Salesforce data, contracts, workflows, reports, and dashboards, and assists with invoicing reconciliation and audits. Partners with Sales, Finance, Legal, Marketing, and Product teams, drives process improvements and automation, and trains sales staff on new procedures.

Reviews customer contracts and applies ASC 606 revenue recognition guidance. Performs monthly revenue close activities, including journal entries, reconciliations, deferred revenue analysis, and discrepancy resolution. Maintains revenue schedules, supports audits, evaluates contract modifications and performance obligations, and partners with Sales, Deal Desk, Billing, Operations, and IT to improve revenue processes, systems, automation, and controls.

Leads and builds a sales engineering and solutions architecture team supporting complex AI/GPU cloud deals. Owns technical discovery, solution architecture, sizing, capacity planning, TCO modeling, POCs, benchmarks, and technical closes for enterprise and strategic customers. Partners with account executives, NVIDIA, product, platform, and capacity teams while developing pre-sales processes, enablement, reference architectures, and win strategies for long-cycle, high-value infrastructure contracts.

Designs and publishes networking architectures for large-scale GPU clouds and AI infrastructure. Defines InfiniBand and RoCEv2 fabrics, multi-tenant isolation, Kubernetes and KubeVirt networking, hybrid connectivity, and host networking. Builds automation, prototypes, proofs of concept, and benchmarks on real hardware. Acts as a customer-facing networking subject matter expert, collaborates with partners, conducts research, publishes technical content, and influences product strategy.

Designs and validates networking architectures for large-scale GPU clouds and AI infrastructure. Responsibilities include InfiniBand and RoCEv2 fabric design, multi-tenant isolation, Linux and Kubernetes networking, KubeVirt integration, research into emerging AI networking technologies, and customer-facing proofs of concept. The role also produces automation, benchmarks, reference architectures, technical content, workshops, and presentations while collaborating with engineering, partners, and customers.

Develop production-grade Rust and Go control-plane microservices, Kubernetes operators, reconciliation engines, and APIs for AI infrastructure. Design distributed systems, integrate datacenter networking and DPU platforms, implement observability with OpenTelemetry, and perform root-cause analysis. The role requires strong async concurrency, reliability, testing, architecture documentation, and cross-functional design skills, with opportunities to work on open-source cloud-native bare-metal orchestration systems.

Operate PostgreSQL and Kafka on Kubernetes across cloud and bare-metal environments. Own GitOps, infrastructure as code, upgrades, automation, observability, high availability, backups, disaster recovery, security, multi-tenancy, and self-service provisioning. Manage replication, CDC pipelines, failover drills, and performance troubleshooting while supporting on-call operations and incident reviews. Build tooling in Go or Python and collaborate with application teams on schema and platform standards.

Designs and publishes networking architectures for large-scale GPU clusters and AI infrastructure. Responsibilities include InfiniBand and RoCEv2 fabrics, multi-tenant isolation, Linux and Kubernetes networking, KubeVirt, hybrid connectivity, research, automation, benchmarking, proofs of concept, customer engagements, partner collaboration, technical writing, and conference presentations.

Designs and publishes networking architectures for large-scale GPU clusters and AI infrastructure, covering InfiniBand, RoCEv2, Kubernetes, virtualization, multi-tenancy, hybrid connectivity, and host networking. Builds reproducible automation, prototypes emerging technologies, validates designs on real hardware, and delivers customer proofs of concept. Serves as a networking subject-matter expert with customers, partners, engineering teams, and industry audiences through workshops, technical content, and presentations.

Design, build, and operate high-throughput AI lab, datacenter, colocation, corporate, campus, and cloud networks. Responsibilities include switching and routing, network segmentation and security, hardware and cabling support, hybrid connectivity, monitoring, capacity planning, automation, documentation, incident response, and on-call participation. The role requires regular hands-on work at Silicon Valley datacenter facilities and coordination with remote-hands providers elsewhere.

Lead an engineering organization building secure enterprise container and Kubernetes platforms. Define technical strategy, improve platform resilience and operational excellence, embed security throughout the SDLC, balance feature delivery with stability, hire and develop engineering talent, and collaborate with product leaders, executives, and enterprise customers.

Lead the distributed engineering team responsible for k0s and k0smotron while serving as a senior technical maintainer. Set architecture and release direction, review code, guide Kubernetes lifecycle and infrastructure development, improve quality and reliability, and grow contributors and maintainers. Represent the projects across Kubernetes and CNCF communities, support CNCF maturity progression, collaborate across Mirantis, and translate production and customer needs into sustainable open source capabilities.

Lead the distributed engineering team responsible for k0s and k0smotron while remaining hands-on with Kubernetes architecture, design, code reviews, debugging, releases, and technical decisions. Guide project roadmaps, reliability, security, conformance, and lifecycle management; develop maintainers and contributors; advance CNCF maturity; represent the projects across Kubernetes and open source communities; and collaborate across Mirantis on ecosystem and customer requirements.

Leads the distributed engineering team responsible for k0s and k0smotron while serving as a hands-on technical maintainer. Responsibilities include Kubernetes architecture, design reviews, coding, debugging, releases, security, reliability, roadmap development, team mentorship, contributor growth, CNCF governance, and ecosystem representation. The role requires deep Kubernetes and Go expertise, open source leadership, and experience operating Kubernetes across cloud, bare-metal, edge, and heterogeneous environments.

Lead the distributed engineering team responsible for k0s and k0smotron while remaining hands-on with Kubernetes architecture, design, code reviews, debugging, releases, security, and reliability. Drive technical direction, mentor engineers and maintainers, grow open-source communities, guide CNCF maturity, represent projects publicly, and collaborate across Mirantis and the Kubernetes ecosystem. The role requires deep Kubernetes and Go expertise, open-source leadership, and experience with infrastructure across cloud, bare metal, edge, and AI environments.

Design and build Kubernetes-based LLM serving infrastructure, including GPU scheduling, scaling, model lifecycle management, Helm packaging, enterprise and offline deployments, API integrations, and production observability. Develop across a multi-service Go codebase, contribute design documentation and reviews, and help guide engineering direction. The role requires strong Kubernetes, distributed systems, CI/CD, and infrastructure-as-code expertise, with GPU, inference, or adjacent systems experience.

Design and build Go-based storage control-plane services, CSI drivers, integrations, and tooling for Kubernetes AI and compute workloads. Automate storage provisioning using Terraform/OpenTofu and GitOps tools, support hybrid and bare-metal deployments, and develop observability for performance and reliability. Integrate enterprise storage platforms such as Dell PowerScale and VAST across cloud, edge, and air-gapped environments, including K0rdent, Cluster API, Harbor, and PKI/TLS infrastructure.

Build and maintain Go backend microservices for Mirantis’ multi-tenant GPU infrastructure control plane. Responsibilities include designing REST APIs and database schemas, implementing Temporal workflows and event-driven services, managing authentication and authorization, writing comprehensive tests, instrumenting production services, and packaging deployments with Docker, Helm, and Kubernetes. The role also involves code reviews, incident debugging, and cross-regional collaboration.