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About the Team Our engineering team builds next-generation, cloud-native bare-metal orchestration platforms for AI neo-cloud environments. We operate on a T-shaped engineering model: while each engineer brings deep expertise in a primary domain, every team member maintains practical fluency across neighboring systems. This shared foundation enables rigorous design reviews, effective cross-domain code reviews, and dependable on-call coverage. Our development is fundamentally based on open-source projects, and contributing to them is a major part of our work. We develop primary control plane software in Rust and Go, leverage Kubernetes operators, and foster an OpenTelemetry-first operational culture. Role Overview We are seeking a Senior Software Engineer who combines strong software architecture principles with deep technical domain expertise in Datacenter Networking and DPU architectures. Fitting into our T-shaped engineering model, you will drive the development of control planes powering high-density, high-throughput infrastructure for AI training and inference workloads. Familiarity with automated bare-metal provisioning and lifecycle management is a strong asset. Core Responsibilities • Control Plane Development: Design, build, and maintain production-grade control plane microservices, custom Kubernetes operators, and robust reconciliation engines in Rust and Go. • Architecture & API Design: Author clear Functional (FR) and Non-Functional Requirements (NFR), architectural specs, system sequence diagrams, and clean gRPC/Protobuf and REST API schemas. • Network Integration: Develop custom integration modules and integrations for modern network operating systems (SONiC, NVUE, Cumulus) and DPU hardware platforms. • Observability & Diagnostics: Instrument services end-to-end using OpenTelemetry (OTel) traces and metrics, performing systematic root-cause analysis across polyglot distributed systems. • Quality & Engineering Excellence: Participate in rigorous, review-gated pull request workflows across Rust, Go, and SQL codebases while ensuring high test coverage via mock-driven testing. • Language Proficiency: Primary mastery of Rust (Tokio async runtime, Tonic, Axum, sqlx) and strong proficiency in Go. • Data & APIs: Advanced SQL / PostgreSQL fluency, gRPC/Protobuf contract design, and schema evolution. • Concurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline. • Datacenter Protocols & OS: Expertise in BGP, MP-BGP, EVPN, VXLAN, L3VNI, route targets, and route server design. Hands-on experience with SONiC, Cumulus Linux, and NVUE (featuring a first-class NVUE client). • DPU & Fabric Ecosystem: Deep knowledge of NVIDIA DOCA, Host-Based Networking (HBN), BlueField DPU architectures, and the DPF (DOCA Platform Framework) operator model (BFB, DPUSet, DPUNode CRDs). • High-Performance Interconnects: Understanding of InfiniBand fabrics, NVLink / NMX-M partitioning, and RoCEv2. • Linux Kernel Networking: Advanced grasp of Linux netlink, network namespaces, routing tables, and internal DHCP/DNS service implementations (the project ships its own services). • Cloud & Kubernetes Networking: Familiarity with CNI plugins (Calico, Cilium). OVS and DPDK experience is a plus. • Provisioning & Boot Infrastructure: Expertise in PXE/iPXE, UEFI, Secure Boot, measured boot, and TPM attestation. • Hardware Management: Proficiency in Redfish, IPMI, and BMC abstractions across heterogeneous hardware platforms (Dell, Lenovo, NVIDIA reference hardware). • Linux Systems Internals: In-depth knowledge of boot chains, systemd, initramfs, BIOS configuration matrices. • Identity & Security: Practical experience with PKI, X.509 certificates, TLS, SPIFFE/SVID, Vault, KMS, Keycloak (OAuth2/JWT), and RBAC. • Virtualization: Experience with KubeVirt / KVM. • Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs or controller-runtime with CRD-driven reconciliation loop patterns. Universal Requirements • Testing Discipline: Commitment to test-driven design, writing highly testable code with mock interfaces for external hardware and network dependencies. • Collaborative Architecture: Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviews. Educational & Experience Baseline • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent practical experience. • 5+ years of software engineering experience in cloud-native platforms, systems programming, networking, or infrastructure automation. • Demonstrated participation or maintainership in open-source systems projects is a plus. 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 …

About the Team Our engineering team builds next-generation, cloud-native bare-metal orchestration platforms for AI neo-cloud environments. We operate on a T-shaped engineering model: while each engineer brings deep expertise in a primary domain, every team member maintains practical fluency across neighboring systems. This shared foundation enables rigorous design reviews, effective cross-domain code reviews, and dependable on-call coverage. Our development is fundamentally based on open-source projects, and contributing to them is a major part of our work. We develop primary control plane software in Rust and Go, leverage Kubernetes operators, and foster an OpenTelemetry-first operational culture. Role Overview We are seeking a Senior Software Engineer who combines strong software architecture principles with understanding of Datacenter Networking and DPU architectures. Fitting into our T-shaped engineering model, you will drive the development of control planes powering high-density, high-throughput infrastructure for AI training and inference workloads. Familiarity with automated bare-metal provisioning and lifecycle management is a strong asset. Core Responsibilities • Control Plane Development: Design, build, and maintain production-grade control plane microservices, custom Kubernetes operators, and robust reconciliation engines in Rust and Go. • Architecture & API Design: Author clear Functional (FR) and Non-Functional Requirements (NFR), architectural specs, system sequence diagrams, and clean gRPC/Protobuf and REST API schemas. • Network Integration: Develop custom integration modules and integrations for modern network operating systems (SONiC, NVUE, Cumulus) and DPU hardware platforms. • Observability & Diagnostics: Instrument services end-to-end using OpenTelemetry (OTel) traces and metrics, performing systematic root-cause analysis across polyglot distributed systems. • Quality & Engineering Excellence: Participate in rigorous, review-gated pull request workflows across Rust, Go, and SQL codebases while ensuring high test coverage via mock-driven testing. Required: • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent practical experience. • 5+ years of software engineering experience in cloud-native platforms or systems programming • Primary mastery of Rust (Tokio async runtime, Tonic, Axum, sqlx) and proficiency in Go (secondary). • Concurrency & Reliability: Strong background in async concurrency models, lock-free patterns, distributed state handling, and mock-driven testing discipline. • APIs & Serialization: gRPC/Protobuf contract design (via tonic/prost) and schema evolution (using zero-copy serialization and compile-time type generation). • Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs with CRD-driven reconciliation loop patterns. • Testing Discipline: Commitment to test-driven design, writing highly testable code with mock interfaces for external service dependencies. • Collaborative Architecture: Proven track record of writing crisp architectural specs and engaging in constructive, cross-functional design reviews. Desired: • Advanced SQL / PostgreSQL fluency • Datacenter Protocols & OS: Expertise in BGP, MP-BGP, EVPN, VXLAN, L3VNI, route targets, and route server design. Hands-on experience with SONiC, Cumulus Linux, and NVUE (featuring a first-class NVUE client). • DPU & Fabric Ecosystem: Deep knowledge of NVIDIA DOCA, Host-Based Networking (HBN), BlueField DPU architectures, and the DPF (DOCA Platform Framework) operator model (BFB, DPUSet, DPUNode CRDs). • High-Performance Interconnects: Understanding of InfiniBand fabrics, NVLink / NMX-M partitioning, and RoCEv2. • Linux Kernel Networking: Advanced grasp of Linux netlink, network namespaces, routing tables, and internal DHCP/DNS service implementations (the project ships its own services). • Cloud & Kubernetes Networking: Familiarity with CNI plugins (Calico, Cilium). OVS and DPDK experience is a plus. • Provisioning & Boot Infrastructure: Expertise in PXE/iPXE, UEFI, Secure Boot, measured boot, and TPM attestation. • Hardware Management: Proficiency in Redfish, IPMI, and BMC abstractions across heterogeneous hardware platforms (Dell, Lenovo, NVIDIA reference hardware). • Linux Systems Internals: In-depth knowledge of boot chains, systemd, initramfs, BIOS configuration matrices. • Identity & Security: Practical experience with PKI, X.509 certificates, TLS, SPIFFE/SVID, Vault, KMS, Keycloak (OAuth2/JWT), and RBAC. • Virtualization: Experience with KubeVirt / KVM. • Kubernetes Control Planes: Experience writing custom controllers/operators using kube-rs or controller-runtime with CRD-driven reconciliation loop patterns. • Demonstrated participation or maintaining open-source systems projects It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related …

About the role We are seeking a Senior Solutions Architect with deep security expertise to join the Voyager team in the Mirantis Office of the CTO. You will own the security solutioning of k0rdent AI, our platform for building and operating GPU clouds and AI factories, from metal to model. You will define how k0rdent AI environments are secured end to end: the hardware and firmware they boot from, the hosts, virtual machines and Kubernetes clusters they run, the networks and storage they share, the secrets and certificates that hold them together, and the AI models and applications they serve. You will turn that design into published reference architectures, working code and proofs of concept that run on real hardware with our customers and partners. As part of the Office of the CTO, research is a core part of the job. You will explore threats, designs and technologies before customers ask for them, prototype ideas that may not ship, and challenge established practice when a better approach exists. Your work will shape where k0rdent AI goes next, not only how it is deployed today. This role combines research with hands-on, outward-facing work. You will split your time between exploring new designs, writing architecture, building and validating it in the lab, and explaining it to engineers, security teams, executives and conference audiences. You will work with Solutions Architects, Partner Management and Engineering colleagues across many countries and time zones. Key Responsibilities Reference architecture • Design and publish security reference architectures and solution designs for k0rdent AI, covering single-tenant private AI clouds, multi-tenant GPU clouds and hybrid deployments that span public cloud and on-premises infrastructure. • Define a defence-in-depth model across the stack, from hardware root of trust and firmware to hosts, virtual machines, Kubernetes, networks, storage, models and applications. • Define tenant isolation boundaries and their guarantees, and document where each boundary is strong, where it is weak, and what it costs to strengthen. • Map designs to the controls and frameworks customers must meet, and document trade-offs (risk, cost, performance, operability) with defensible reasoning a customer can follow. Platform and infrastructure security • Bare-metal and host security: secure and measured boot, TPM-based attestation, BMC and Redfish hardening, firmware integrity, and hardened Linux hosts. • Virtual machine security: hypervisor and KubeVirt hardening, VM isolation, and the security implications of PCI passthrough and SR-IOV for GPUs and NICs. • Kubernetes security: RBAC, Pod Security Standards, admission control and policy-as-code, runtime security, and secure multi-cluster and multi-tenant operation. • Secrets management: secret stores, KMS and HSM integration, envelope encryption, secret delivery to workloads, and rotation. • Certificates and PKI: internal certificate authorities, automated issuance and rotation, mTLS between services, and workload identity. • Network security: segmentation and zero-trust designs, Kubernetes network policy, tenant isolation on front-end and GPU fabrics, and DPU-based security enforcement. • Storage security: encryption at rest and in transit, key management, and tenant isolation on shared block, file and object storage used for training data and model weights. • Public cloud security: secure landing zones, identity and access management, and network controls on major public clouds, and how they extend to hybrid deployments. AI model and application security • Define how Transformer-based models are protected through their lifecycle: provenance and signing of model weights, integrity of training and fine-tuning data, and secure model registries. • Secure inference services and AI applications against threats such as prompt injection, data and model exfiltration, model theft and abuse of agentic tool access. • Design isolation for shared GPU infrastructure (MIG, vGPU, passthrough) and assess confidential computing options for protecting models and data in use. • Secure the software supply chain for platforms, containers and models: image signing, SBOMs, vulnerability management and provenance. Research and exploration • Track and evaluate emerging security technologies, standards and threats, such as confidential computing on GPUs, remote attestation, post-quantum cryptography, model signing and AI agent security. • Prototype alternative designs in the lab, including ones customers have not yet asked for, and measure them against current practice. • Challenge established or customer-preferred designs when evidence points to a better option, and make the case with data. • Publish findings as internal research notes and design proposals and, where appropriate, as external papers, blog posts or talks. Code and proofs of concept • Build and run proofs of concept with customers and partners, on Mirantis lab …

Responsibilities Engineering & Team Leadership • Lead, mentor, and develop a distributed team of engineers working on k0s, k0smotron, and related Kubernetes technologies. • Establish clear engineering priorities, ownership, and expectations while giving experienced engineers the autonomy to solve difficult problems. • Conduct regular 1:1s, provide actionable feedback, support career development, and participate in hiring and onboarding. • Build an engineering culture based on technical excellence, pragmatism, transparency, collaboration, and ownership. • Develop additional technical leaders and maintainers so that critical project knowledge and ownership are distributed across the team and community. Kubernetes Technical & Release Leadership • Provide technical direction for k0s and related projects while working collaboratively with maintainers and the broader community. • Participate directly in architecture and design discussions, code and pull-request reviews, issue triage, debugging, and technical decision making. • Maintain deep expertise in Kubernetes architecture, control-plane components, lifecycle management, networking, storage, security, scheduling, and distributed systems. • Track upstream Kubernetes development and ensure relevant capabilities, architectural changes, deprecations, and requirements are incorporated into the k0s roadmap. • Drive engineering quality across testing, CI/CD, release engineering, upgradeability, security, observability, performance, and operational reliability. • Balance architectural improvement and technical debt against features, community needs, ecosystem evolution, and Mirantis product requirements. Open Source, CNCF & Community Leadership • Act as a senior maintainer and visible technical leader within the k0s and k0smotron open source communities. • Partner with the Community Manager and project maintainers to drive k0s through CNCF maturity from Sandbox through Incubation toward Graduation. This includes governance, security, adoption, documentation, maintainer diversity, community health, and CNCF review requirements. • Grow meaningful participation outside Mirantis by developing contributors into sustained participants and maintainers, cultivating adopters, and strengthening vendor-neutral project governance. • Serve as a visible technical representative for k0s and k0smotron across the Kubernetes and CNCF ecosystems, including KubeCon + CloudNativeCon, Kubernetes Community Days, SIGs, TAGs, maintainer forums, conferences, workshops, podcasts, webinars, and other technical venues. • Develop productive relationships with upstream Kubernetes developers, Cluster API maintainers, CNCF projects, vendors, adopters, and other ecosystem participants. Product & Ecosystem Collaboration • Work closely with Mirantis product, architecture, field engineering, support, community, and other engineering teams, including those for k0rdent, MOSK, and MKE. • Translate production experience and customer requirements into well-designed upstream capabilities without compromising sound open source architecture. • Help determine when capabilities belong in k0s, should be contributed to another upstream project, or should be composed from existing ecosystem technologies. • Maintain clear architectural relationships among k0s, k0smotron, Cluster API, k0rdent, and the broader Kubernetes ecosystem. • Serve as a Kubernetes and open source subject-matter expert within Mirantis. Required • Significant professional software engineering experience (10+ years desired), including experience leading senior engineers and open source development teams. • Deep, hands-on knowledge of Kubernetes, its architecture, control plane, and the underlying Linux, container, networking, storage, and distributed-systems technologies. • Demonstrated experience designing, building, debugging, or operating Kubernetes infrastructure beyond simply consuming managed Kubernetes services. • Strong experience with Go and the ability to review and contribute to production-quality Go code. • Experience working effectively through GitHub-based open source development workflows including issues, pull requests, reviews, CI, releases, and community discussions. • Demonstrated technical leadership in architecture, design reviews, mentoring, technical decision making, and driving complex engineering work to completion. • Strong written and verbal English communication skills. • Ability to operate effectively in a globally distributed, asynchronous engineering organization. Strongly Preferred • Existing maintainer, reviewer, or significant contributor experience in Kubernetes, CNCF, or another substantial open source infrastructure project. • Experience with Kubernetes Cluster API (CAPI) and Kubernetes controllers, operators, CRDs, or other Kubernetes-native control-plane software. • Experience with Kubernetes cluster bootstrap, upgrades, lifecycle management, high availability, and …

Mirantis helped define cloud native infrastructure for a generation of enterprises through our Container and OpenStack platforms — the systems that run mission-critical workloads inside the world's most regulated organizations. Now those same customers are facing a new set of challenges as agentic AI and inferencing workloads grow explosively, and we're building the next infrastructure chapter to meet them there. We are seeking a dynamic and technically strong Sales Engineer / Pre-Sales Solution Architect to help customers design and deploy next-generation AI infrastructure in the French speaking areas of Europe. We're looking for a Sales Engineer who wants to own that transition inside real accounts: banking, insurance, telecom, government, pharma. This is enterprise infrastructure, not experimental AI — the customer's platform and security teams will be in the room, and your technical credibility is what earns their trus In this role, you will work closely with our European enterprise customers, platform engineering teams, and AI practitioners to architect solutions that enable scalable AI workloads, modern developer platforms, and Kubernetes-based infrastructure across hybrid and multi-cloud environments. This is not a support role. You own the architecture conversation, the proof-of-concept, and the depth of the customer relationship. Account teams partner with you — the technical trust is yours to build. What You'll Actually Do • Own the technical relationship. Be the person CTOs, platform teams, and infrastructure leaders trust for a straight answer — not just the one who runs the demo. • Architect real solutions. Translate a customer's constraints — regulatory, operational, organizational — into deployable architecture across our Container, OpenStack, and Enterprise AI offerings. • Lead the proof. Run PoCs that prove fit under real conditions: deploy the platform, prototype AI workloads, debug live, and show what running it operationally actually looks like. • Tell the story. Turn infrastructure complexity into a narrative a CIO and a platform engineer can each act on — in a boardroom, a workshop, or on a whiteboard. • Build and protect the account. Carry technical continuity from discovery through PoC through expansion — especially in regulated environments where trust is earned slowly and lost fast. • Win net-new. Bring the same credibility to greenfield opportunities across regulated verticals, where the AI infrastructure conversation is often just starting. • Shape what we build. Feed field insight back into product and GTM as our Enterprise AI infrastructure evolves — your input carries real weight. Who You Are • You've lived the cloud native rise. Kubernetes, containers, OpenStack, platform engineering — you've built and operated this, likely as a platform engineer, DevOps engineer, or cloud architect, before moving toward the customer. • You're pulled toward AI infrastructure. GPU orchestration, inferencing, model serving — you're already leaning in, not waiting to be asked. • You think in platforms, not tools. Compute, networking, storage, and now inference and governance — one architecture, not a checklist. • You can deploy what you sell. You stand up clusters, run live demos, build PoCs, and debug them yourself when something breaks in front of the customer. • You own relationships, not tickets. You've managed accounts in regulated, high-scrutiny environments and know that technical trust is the actual sales cycle. • You're a natural technical evangelist. Conference talks, open-source contributions, technical writing, demo-building — this is already how you show up. What Actually Matters Most Driving demonstrable outcomes and results is what we care about most. We want someone with a proven track record of leading technical evaluations that turn into signed deals — and who can tell you exactly how they did it. Equally important: proven technical authority in regulated enterprise environments, where the sales cycle runs through platform and security review as much as procurement. This is relationship development and technical account management as much as it is architecture. Practical Requirements • 12 years combined experience across infrastructure engineering and solutions architecture / sales engineering. • 5+ years in Sales Engineering, Solutions Architecture, or Technical Consulting in France or other French speaking countries in Europe. • Hands-on experience designing or operating Kubernetes and/or OpenStack-based systems in production. • Proven track record supporting enterprise sales cycles for infrastructure or cloud platforms. • Experience managing accounts in regulated industries (banking/FSI, telecom, government, pharma/manufacturing) strongly preferred. Why This Role • A ground-floor seat in Mirantis' Enterprise AI infrastructure business, backed by an installed base of 1,500 enterprise customers. • Technical ownership, not a scripted demo role …

We are looking for a highly experienced and driven Senior AI Deployment Engineer to join our forward-thinking cloud development and operations team. In this role, you will contribute to the design, development, and operation of sophisticated cloud-based AI solutions built on the CNCF ecosystem including Kubernetes, running on cutting-edge hardware from leading vendors. This role focuses mainly on deploying AI infrastructure built on NVIDIA-certified hardware, following architecture and implementation designs produced by our engineering team. You will play a pivotal role in ensuring the reliability, security, and performance of container infrastructure, while mentoring team members and Mirantis customers to deliver high-quality software and services. As a senior engineer, you will work closely with stakeholders to define technical strategies, solve complex challenges, and ensure the seamless integration of cloud and software services. This is an excellent opportunity to make a significant impact while driving innovation in a rapidly evolving cloud ecosystem. Main Responsibilities: • Work with geographically distributed international teams on technical challenges and process improvements. • Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software. • Collaborate with stakeholders to gather and refine technical requirements. • Optimize system performance, reliability, and scalability. • Troubleshoot, debug, and resolve complex technical issues. • Participate in code reviews to maintain high quality standards. • Stay up to date with industry trends and best practices in cloud operations and development. • Design and implement AI-driven automation across the DevOps lifecycle, including code development and maintenance. • Facilitate knowledge transfer to customers during the delivery phases. • 5+ years of professional experience in DevOps, with a strong focus on cloud and infrastructure technologies, including Kubernetes and/or OpenStack • Experience with high-performance data center processing, networking, and storage • Exposure to Golang and working knowledge of other programming languages (Python, JavaScript). • Strong knowledge of distributed systems, microservices architecture, and CI/CD pipelines. • Exceptional problem-solving and debugging skills across networking and storage (hardware and software), Linux, and Kubernetes, with attention to performance optimization and security. • Demonstrated ability to lead technical tasks and collaborate effectively with diverse teams. • Comfortable making independent judgment calls when working directly with customers, often with limited day-to-day oversight. • Excellent written and spoken English. • Excellent customer-facing communication skills. • A commitment to innovation, continuous learning, and delivering high-quality results. • Ability to travel up to 25% if needed, including internationally. Nice to have • Extensive experience in network and/or storage architecture. • Experience with high-performance computing or GPU infrastructure: GPU scheduling, MIG/vGPU, RDMA/RoCE or InfiniBand fabrics, NVLink, DCGM health-checking, GPU driver/firmware lifecycle or NVIDIA AI Enterprise. • Presence in the open source community including upstream contribution and conference presentations. • Prior experience with commercial container and virtual compute infrastructure platforms such as Rancher, Openshift, and VMware. Education and Experience: • Bachelor's degree in Computer Science or a related field, or equivalent experience. • At least 5 years of DevOps or Software Development experience or in a similar role. 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. Salary range: 70000-85000 Euro per year 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 isamoylova@mirantis.com 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 …

The Opportunity Mirantis helped define cloud native infrastructure for a generation of enterprises through our Container and OpenStack platforms — the systems that run mission-critical workloads inside the world's most regulated organizations. Now those same customers are facing a new set of challenges as agentic AI and inferencing workloads grow explosively, and we're building the next infrastructure chapter to meet them there. We are seeking a dynamic and technically strong Sales Engineer / Pre-Sales Solution Architect to help customers design and deploy next-generation AI infrastructure in the French speaking areas of Europe. We're looking for a Sales Engineer who wants to own that transition inside real accounts: banking, insurance, telecom, government, pharma. This is enterprise infrastructure, not experimental AI — the customer's platform and security teams will be in the room, and your technical credibility is what earns their trus In this role, you will work closely with our European enterprise customers, platform engineering teams, and AI practitioners to architect solutions that enable scalable AI workloads, modern developer platforms, and Kubernetes-based infrastructure across hybrid and multi-cloud environments. This is not a support role. You own the architecture conversation, the proof-of-concept, and the depth of the customer relationship. Account teams partner with you — the technical trust is yours to build. What You'll Actually Do • Own the technical relationship. Be the person CTOs, platform teams, and infrastructure leaders trust for a straight answer — not just the one who runs the demo. • Architect real solutions. Translate a customer's constraints — regulatory, operational, organizational — into deployable architecture across our Container, OpenStack, and Enterprise AI offerings. • Lead the proof. Run PoCs that prove fit under real conditions: deploy the platform, prototype AI workloads, debug live, and show what running it operationally actually looks like. • Tell the story. Turn infrastructure complexity into a narrative a CIO and a platform engineer can each act on — in a boardroom, a workshop, or on a whiteboard. • Build and protect the account. Carry technical continuity from discovery through PoC through expansion — especially in regulated environments where trust is earned slowly and lost fast. • Win net-new. Bring the same credibility to greenfield opportunities across regulated verticals, where the AI infrastructure conversation is often just starting. • Shape what we build. Feed field insight back into product and GTM as our Enterprise AI infrastructure evolves — your input carries real weight. Who You Are • You've lived the cloud native rise. Kubernetes, containers, OpenStack, platform engineering — you've built and operated this, likely as a platform engineer, DevOps engineer, or cloud architect, before moving toward the customer. • You're pulled toward AI infrastructure. GPU orchestration, inferencing, model serving — you're already leaning in, not waiting to be asked. • You think in platforms, not tools. Compute, networking, storage, and now inference and governance — one architecture, not a checklist. • You can deploy what you sell. You stand up clusters, run live demos, build PoCs, and debug them yourself when something breaks in front of the customer. • You own relationships, not tickets. You've managed accounts in regulated, high-scrutiny environments and know that technical trust is the actual sales cycle. • You're a natural technical evangelist. Conference talks, open-source contributions, technical writing, demo-building — this is already how you show up. What Actually Matters Most Driving demonstrable outcomes and results is what we care about most. We want someone with a proven track record of leading technical evaluations that turn into signed deals — and who can tell you exactly how they did it. Equally important: proven technical authority in regulated enterprise environments, where the sales cycle runs through platform and security review as much as procurement. This is relationship development and technical account management as much as it is architecture. Practical Requirements • 12 years combined experience across infrastructure engineering and solutions architecture / sales engineering. • 5+ years in Sales Engineering, Solutions Architecture, or Technical Consulting in France or other French speaking countries in Europe. • Hands-on experience designing or operating Kubernetes and/or OpenStack-based systems in production. • Proven track record supporting enterprise sales cycles for infrastructure or cloud platforms. • Experience managing accounts in regulated industries (banking/FSI, telecom, government, pharma/manufacturing) strongly preferred. Why This Role • A ground-floor seat in Mirantis' Enterprise AI infrastructure business, backed by an installed base of 1,500 enterprise customers. • Technical ownership, not a …

Role Summary Mirantis is seeking a Marketplace Operations Analyst to own the technical health, listing administration, and operational execution across our cloud digital channels - including AWS Marketplace, Azure Marketplace, and our Direct Webstore. Sitting within Business Applications department, you will manage enterprise B2B private offers, streamline catalog updates, drive Jira delivery sprints, and optimise system data flows into NetSuite ERP. Note: This is an enterprise B2B SaaS and cloud infrastructure position—not a B2C retail role. Marketplace & Channel Operations • Own the operational health, listing accuracy, and catalog completeness across the Mirantis Webstore, AWS Marketplace, and Azure Marketplace. • Coordinate product onboarding, updates, and deprecations: pricing, SKUs, license entitlements, descriptions, and media assets. • Manage enterprise B2B Private Offer workflows (AWS/Azure) end-to-end: initiation, approval, fulfilment, and post-sale handoff to Customer Success. • Liaise with AWS and Azure partner teams on listing certifications, SaaS metering integrations, and marketplace co-sell program requirements. Agile Delivery & Operations • Maintain a consolidated operational tracker (Jira) across all active digital commerce initiatives, integrations, and process improvements. • Drive sprint planning, async standups, and delivery cadences; surface blockers early with clear context and proposed resolutions. • Maintain RAID logs, decision records, and stakeholder updates throughout project lifecycles. • Coordinate User Acceptance Testing (UAT): define test scenarios, assign testers, consolidate results, and own release sign-offs. • Drive process automation with an AI-first mindset—identify repetitive operational workflows and lead their automation using tools like Claude Enterprise. Systems & Business Analysis • Elicit, document, and validate functional requirements for digital commerce initiatives: listing updates, checkout logic, entitlement rules, pricing structures, and API changes. • Produce clear BRDs, user stories with acceptance criteria, process maps, and data flow diagrams for Engineering and QA. • Map end-to-end data flows across the B2B stack — Webstore, NetSuite ERP, AWS/Azure Metering APIs — identifying integration gaps and proposing solutions. • Serve as the internal Subject Matter Expert (SME) on AWS/Azure Marketplace technical mechanics: metering APIs, SaaS contract billing, and private offer structures. Reporting & Cross-Functional Alignment • Deliver weekly and monthly status updates to Business Applications leadership, Finance, and Sales covering channel activity, launch status, and fulfillment health. • Build and maintain operational dashboards (Looker / Snowflake / Google Sheets) tracking marketplace GMV, private offer turnaround times, fulfillment SLAs, and entitlement activation rates. • Partner with Finance as the primary operational point-of-contact for order reconciliation, entitlement provisioning, and period-close data requirements. • Collaborate with Sales to provide marketplace deal analytics and fulfillment visibility that support pipeline reviews and forecasting. • Document and maintain Standard Operating Procedures (SOPs) for recurring operations: listing updates, promo setups, refund processing, and license provisioning. Required: • 2+ years in a business analysis, systems analysis, or as a marketplace operations analyst in B2B sales sphere • Strong written communication skills: ability to author BRDs, SOPs, status reports, and stakeholder updates independently and on time. • Proficiency using Jira for agile sprint/task tracking and Confluence for technical documentation and SOPs. Nice-to-Have: • Hands-on experience with AWS Marketplace or Azure Marketplace management (listing administration, B2B private offers, SaaS contracts, or metering APIs). • Hands-on experience with BI and data warehousing tools (Looker, Tableau, Snowflake, or equivalent) to build and maintain operational dashboards independently. (edited) • Familiarity with enterprise subscription billing platforms, payment gateways (Stripe), or B2B webstore engines. • Exposure to ERP or financial systems (NetSuite) from an order management or reporting perspective. • Experience in QA or UAT coordination (writing test cases, managing testing cycles, driving sign-off). • Exposure to AI tools (LLMs, prompt engineering, or no-code integrations) for workflow automation. • General understanding of cloud infrastructure, Kubernetes, or containerised software product categories 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 …

About the Role Mirantis is expanding into Neocloud Infrastructure-as-a-Service — managing large-scale infrastructure to a high SLA on behalf of customers running demanding compute workloads, with the scope growing over time to cover the full stack up to the platform layer. We're looking for a Neocloud Service Delivery Manager to lead the engineering team delivering this service, own our incident and outage management process, and make sure our customers consistently get the level of service we commit to. This is an operational leadership role. You'll manage a team of engineers responsible for infrastructure and, over time, the platform layer running on top of it. You'll own the incident lifecycle end-to-end and act as the escalation point when things go wrong — while building the reporting, process, and team rhythm that reduces how often they go wrong in the first place. Key Responsibilities Team Management • Manage a team of engineers responsible for large-scale infrastructure and platform operations • Own rostering and coverage across a 24x7, globally distributed operating model, ensuring continuous operational coverage • Run team performance management: 1:1s, goal-setting, skills development, and performance reviews • Identify and close skills gaps within the team as scope grows from infrastructure into platform operations • Own onboarding of new engineers into live customer environments Service Delivery & SLA Management • Own service delivery performance against contracted SLAs across your customer portfolio • Define, track, and report on service KPIs (availability, MTTR, MTTA, ticket aging/backlog, customer satisfaction) • Chair regular service review meetings, both internal and customer-facing, backed by clear data • Maintain and continuously improve runbooks, escalation paths, and operational documentation • Manage SLA risk and escalate commercial impact to leadership where relevant Incident & Critical Outage Management • Own the incident management process end-to-end: detection, triage, escalation, resolution, and post-incident review • Act as the primary escalation point for major and critical incidents/outages, coordinating cross-functional resources and communicating status to customers and leadership • Understand the technical detail behind incidents well enough to ask the right questions, challenge root-cause analysis, and make good calls under pressure • Run blameless post-incident reviews (RCA/PIR) and track corrective actions through to closure • Track incident trends over time to drive proactive reliability improvements rather than reactive firefighting • Ensure on-call and escalation rotas are staffed, documented, and regularly tested Customer & Stakeholder Management • Act as a senior operational point of contact for key customers, building trust through consistent, transparent delivery • Partner with Sales and Solutions Architecture during onboarding of new customers to confirm delivery readiness • Represent service delivery performance and improvement plans in customer business reviews Process & Continuous Improvement • Drive continuous improvement across monitoring, observability, and incident-management tooling to reduce manual effort and improve detection speed • Maintain structured onboarding/handover documentation for new customer environments • Ensure operational readiness reviews are completed before any new customer environment goes live What Success Looks Like • SLA targets consistently met or exceeded across your customer portfolio • Incidents detected, escalated, and resolved within target timeframes, with clear customer communication throughout • A stable, well-rostered team with a visible skills growth path as scope expands from infrastructure to platform • A shrinking rate of repeat incidents, driven by disciplined post-incident follow-through • Customers who trust the team because they can see the data, not just hear reassurance Required Skills & Experience • Proven experience managing technical operations or managed services teams responsible for large-scale infrastructure and/or platform operations • A technical background of some kind — you don't need to be the person fixing the issue, but you need to understand the technicalities behind incidents well enough to lead the response credibly • Direct experience owning incident management and major incident/outage response, including customer-facing communication during live incidents • Strong working knowledge of SLA frameworks, service reporting, and escalation management • Experience managing distributed or shift-based teams operating on a 24x7 rotation • Strong stakeholder management skills, able to communicate clearly to both engineers and customer executives • Data-driven approach to service management, comfortable building and presenting operational metrics • Must be based in the EU and eligible to work there Preferred Skills & Experience • Experience with …

Mirantis is seeking a seasoned and consultative Senior Account Executive to lead new customer acquisition and strategic expansion across the EMEA. Join us at the forefront of the rapidly evolving AI infrastructure space, where Mirantis empowers both NeoClouds and enterprise organizations to accelerate their strategic missions to adopt, deploy, and scale AI-powered solutions. In this role, you’ll own the full sales cycle—from pipeline development to deal closure—navigating complex, multi-stakeholder engagements and building relationships with C-suite executives. You’ll work in close partnership with Sales Engineering to develop persuasive business cases that accelerate interest and adoption of Mirantis’ advanced AI platform. Responsibilities • Develop and execute a strategic sales plan for your assigned territory, targeting high-potential accounts to consistently achieve pipeline growth and revenue goals. • Implement tailored sales approaches to capture opportunities within the AI Infrastructure market, helping clients optimize their GPU investments for maximum return. • Engage directly with customers to deeply understand their AI/ML requirements, relaying valuable insights to influence Mirantis’ product roadmap and ensure solutions align with evolving client needs. • Become a trusted expert in AI Infrastructure, providing strategic insights and consulting to customers and partners that highlight the transformational value of Mirantis’ AI Infrastructure solutions. • Conduct comprehensive discovery sessions to uncover complex business challenges and design tailored AI Infrastructure architectures that deliver impactful solutions. • Navigate and manage intricate sales cycles from initial engagement through negotiation and closure, including drafting detailed Statements of Work (SOWs) for AI Infrastructure deployments. • Lead negotiations of commercial terms and contractual agreements with key decision-makers to secure mutually beneficial outcomes. • 6+ years of closing experience in Sales with a track record as a top performer • Ability to learn, pitch, and demonstrate a highly technical product, and have the ability to adapt in a fast-growing and changing environment • Background and proven experience selling technical SaaS and cloud-based software solutions, especially infrastructure management solutions such as OpenStack, VMWare, and Kubernetes • Experience building relationships and selling face-to-face to C-level executives • Have clear examples of closing complex deals and selling into complex organizations • Effectively use repeatable methods for uncovering and executing on greenfield opportunities • Address technical objections and collaborate with internal teams to develop strategies that address customer challenges and accelerate deal success. Preferred Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. • Experience selling technology products and solutions such as AWS, Microsoft Azure, Google Cloud Platform, VMware, Redhat, Rancher, Rafay, and SpectroCloud. • Background and proven experience in selling products focused on AI Infrastructure, training, tuning, and/or inference. • Proven experience with enterprise-grade security, compliance, and regulatory frameworks. • Comfortable operating in global, remote, and hybrid environments, with a demonstrated ability to manage complex projects across multiple teams and stakeholders. Soft Skills and Team Fit • Proven problem-solving, consultative, and relationship-building skills. • Entrepreneurial drive with a passion for learning and continuous improvement. • High integrity, transparency, and a collaborative mindset. 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 isamoylova@mirantis.com 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 …

About the Role Mirantis is building out our Neocloud service offering — managing large-scale infrastructure to a high SLA for customers running demanding compute workloads. As that offering scales, so does the volume and complexity of telemetry we need to collect, correlate, and act on. We're looking for an Observability Platform Engineer to design and build the monitoring, logging, tracing, and alerting platform that our operations teams depend on to detect and resolve incidents fast — at large scale, across a globally distributed environment. This is a hands-on, build-it role. You'll be the person who turns "we have no visibility into this" into a platform that surfaces the right signal at the right time, and turns "we found out from the customer" into "we caught it before they noticed." Key Responsibilities • Design, build, and operate observability platform components — metrics, logging, distributed tracing, and alerting — for large-scale infrastructure environments • Build telemetry pipelines capable of handling high cardinality, high volume data from large fleets of infrastructure, with an eye on cost, retention, and query performance • Define and implement SLO/SLI frameworks and alerting strategies that reduce noise and surface real signal to on-call engineers • Partner closely with service delivery and operations teams to understand what they need to see during an incident, and build for that — not just for dashboards nobody opens • Integrate observability tooling with incident management workflows, including root-cause analysis support and post-incident review data • Continuously improve detection speed and reduce mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR) across the platform • Contribute to the roadmap for AI-assisted operations tooling (e.g., automated triage, anomaly detection, engineer-assist tooling) as it matures • Own the reliability, scalability, and security of the observability stack itself — it needs to be up when everything else is on fire • Document architecture, runbooks, and operational practices so the platform is maintainable beyond you What Success Looks Like • Operations teams can diagnose incidents faster because the right data is surfaced automatically, not hunted for manually • Alert volume is high-signal, low-noise — engineers trust what fires • The observability platform scales cleanly as infrastructure footprint grows, without cost or performance surprises • Reduced MTTD/MTTR trends, tracked and demonstrable over time • A platform other engineers actually want to build on, not work around • Proven experience designing and building observability platforms for large-scale, production infrastructure environments (not just consuming an existing setup — actually building one) • Strong hands-on experience with metrics, logging, and distributed tracing tooling (e.g., Prometheus, Grafana, OpenTelemetry, Loki, Thanos/Cortex/Mimir, Elasticsearch/OpenSearch, Jaeger/Tempo, or equivalents) • Experience with high-volume telemetry pipelines and the tradeoffs involved (cardinality, retention, cost, query latency) • Strong software engineering skills in at least one language commonly used in this space (e.g., Go, Python, Rust) • Experience with Kubernetes and cloud-native infrastructure • Solid understanding of SLO/SLI/error-budget practices and alerting design that minimizes noise • Comfortable working in a fast-moving environment where the platform is being built out alongside the infrastructure it's monitoring • Strong communication skills — able to work directly with operations/service delivery teams to understand real incident-response needs, not just technical specs Preferred Skills & Experience • Experience building observability for GPU/HPC infrastructure or other specialized, high-performance compute environments • Experience with eBPF-based observability tooling • Familiarity with AIOps/ML-based anomaly detection or automated triage systems • Experience operating in a managed services or MSP context, where observability directly drives customer-facing SLAs • Contributions to open-source observability projects 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. …

We’re seeking a Software Engineer with a passion for shaping the future of k0sproject. As a CNCF Sandbox project, k0s is an open source, all-inclusive Kubernetes distribution, which is configured with all of the features needed to build a Kubernetes cluster and packaged as a single binary for ease of use. We’re tackling an interesting problem: How do we package and operate Kubernetes itself in the simplest possible way but still allowing enough flexibility for varying use cases. Within Mirantis, you’ll join a remote team of fellow maintainers for k0s and related project as well as the larger OSS ecosystem maintainers. We’re looking for someone within European timezones. As part of Mirantis, you’ll also help shape our Kubernetes and container ecosystem products that rely on various upstream projects as well as collaborate on other upstream projects. Responsibilities: • Develop and maintain upstream k0s related projects under the CNCF umbrella • Design and implement • Integrating new features from the cloud native technologies landscape that compliment the Mirantis Kubernetes products • Following the latest developments in the container technology ecosystem and identifying matters that could impact the product roadmap • Act as a cloud native software and technologies subject matter expert and evangelist within the company and broader community • Strong Kubernetes experience, the deeper the better • Experience in Linux, VMs, networking, containers and the general tech stack that makes cloud-native tick • Ability to write clean and maintainable (Golang) code • Strong engineering background with meaningful track record on Github • You value pragmatism and result-oriented team and project work • Good communication skills in English The tech stack you’ll be working with includes things like: • Kubernetes • Golang • Linux • VMs (Lima, qemu, kvm, etc.) • GitHub Actions • k0s (https://k0sproject.io/) 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. • Customized workstation (macOS, Windows). • A competitive compensation package with strong benefits plan and stock options. • Salary range: $70000-$80000 gross yearly 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 isamoylova@mirantis.com 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)! 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.