Mirantis

Sales Engineer

• Own the technical relationship with CTOs, platform teams, and infrastructure leaders
• Translate regulatory, operational, and organizational constraints into deployable architecture
• Architect solutions across Container, OpenStack, and Enterprise AI offerings
• Lead proofs of concept by deploying platforms, prototyping AI workloads, debugging live, and demonstrating operational deployment
• Explain infrastructure complexity to CIOs and platform engineers through boardroom presentations, workshops, and whiteboarding
• Maintain technical continuity from discovery through proof of concept and account expansion
• Support greenfield opportunities across regulated industries
• Provide technical credibility throughout enterprise sales cycles
• Feed field insights back into product and go-to-market teams
• Collaborate with European enterprise customers, platform engineering teams, and AI practitioners on scalable AI workloads, developer platforms, and Kubernetes-based infrastructure across hybrid and multi-cloud environments

Senior Sales Engineer – Enterprise AI Infrastructure

Security Engineer

• Define and own security policies, hardening baselines, and compliance posture for EDR and MDM across the fleet
• Drive threat response on endpoints and partner with IT on device enrollment, compliance, and protection
• Administer and strengthen IAM/SSO, MFA, provisioning/deprovisioning, and least-privilege access reviews
• Operate SIEM and detection tooling by tuning rules, triaging alerts, and investigating suspicious activity
• Coordinate monitoring and escalations with the external SOC
• Participate in incident response from investigation through containment, remediation, and root cause analysis
• Contribute to post-incident reviews and runbooks
• Operate, integrate, and improve the corporate security toolset
• Proactively harden the environment through configuration baselines, access controls, and attack-surface reduction
• Support ISO 27001, SOC 2, and related compliance efforts through control operation and evidence collection
• Partner with Compliance on audits and control mapping
• Track and help remediate vulnerabilities across endpoints and corporate systems
• Monitor relevant threats and translate them into security improvements
• Run and improve security awareness training, phishing simulations, and employee-facing guidance
• Collaborate with IT, Product Security, and Compliance in a distributed team
• Extend security operations coverage into US time zones and ensure smooth handoffs with EU colleagues

Senior Corporate Security Engineer

DevOps Engineer

• Design, develop, deploy, operate, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software
• Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
• Ensure reliability, security, and performance of container infrastructure
• Work with geographically distributed international teams on technical challenges and process improvements
• 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
• Design and implement AI-driven automation across the DevOps lifecycle
• Facilitate knowledge transfer to customers during delivery phases
• Mentor team members and Mirantis customers
• Define technical strategies and ensure seamless integration of cloud and software services

Senior Site Reliability Engineer, SRE

• Contribute to the design, development, and operation of sophisticated cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
• Deploy AI infrastructure built on NVIDIA-certified hardware following engineering architecture and implementation designs
• Ensure the reliability, security, and performance of container infrastructure
• Mentor team members and Mirantis customers to deliver high-quality software and services
• 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 current 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 delivery phases
• Work closely with stakeholders to define technical strategies, solve complex challenges, and ensure seamless integration of cloud and software services

Technical Recruiter

• Own end-to-end US recruitment for technical and business roles
• Drive direct sourcing using LinkedIn Recruiter and other platforms
• Partner with hiring managers to shape profiles, define recruiting strategy, and deliver results
• Advise on talent market conditions, sourcing feasibility, and hiring best practices
• Ensure a structured, timely, and professional candidate experience
• Use SmartRecruiters ATS to manage pipelines, reporting, and workflows
• Collaborate with the distributed Talent Acquisition team while independently owning assigned roles

Senior Technical Recruiter, Contract

• Design, develop, and operate sophisticated cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
• Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
• Ensure the reliability, security, and performance of container infrastructure
• Mentor team members and Mirantis customers
• 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
• Stay current with industry trends and best practices in cloud operations and development
• Design and implement AI-driven automation across the DevOps lifecycle
• Facilitate knowledge transfer to customers during delivery phases
• Work with stakeholders to define technical strategies and solve complex challenges
• Ensure seamless integration of cloud and software services

• Contribute to the design, development, and operation of cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
• Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
• Ensure the reliability, security, and performance of container infrastructure
• Mentor team members and Mirantis customers
• 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
• Stay current with cloud operations and development trends and best practices
• Design and implement AI-driven automation across the DevOps lifecycle
• Facilitate knowledge transfer to customers during delivery phases
• Work with stakeholders to define technical strategies and solve complex challenges
• Ensure seamless integration of cloud and software services

• 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
• Deploy AI infrastructure built on NVIDIA-certified hardware according to engineering architecture and implementation designs
• Contribute to the design, development, and operation of cloud-based AI solutions built on the CNCF ecosystem, including Kubernetes
• Ensure the reliability, security, and performance of container infrastructure
• Mentor team members and Mirantis customers
• 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
• Stay current with cloud operations and development industry trends and best practices
• Design and implement AI-driven automation across the DevOps lifecycle
• Facilitate knowledge transfer to customers during delivery phases
• Define technical strategies and ensure seamless integration of cloud and software services

Senior Site Reliability Engineer – SRE

Pre-sales Engineer

• Own the technical relationship with CTOs, platform teams, and infrastructure leaders
• Translate customer regulatory, operational, and organizational constraints into deployable architectures
• Architect solutions across Mirantis Container, OpenStack, and Enterprise AI offerings
• Lead proof-of-concepts by deploying platforms, prototyping AI workloads, debugging live, and demonstrating operational processes
• Present infrastructure solutions to CIOs and platform engineers in boardrooms, workshops, and whiteboard sessions
• Maintain technical continuity from discovery through proof-of-concept and account expansion
• Support greenfield opportunities across regulated industry verticals
• Collaborate with European enterprise customers, platform engineering teams, and AI practitioners
• Provide field insight to Mirantis product and go-to-market teams
• Help customers implement scalable AI workloads, modern developer platforms, and Kubernetes-based infrastructure across hybrid and multi-cloud environments

Senior Pre-sales Solution Architect – Enterprise AI Infrastructure

QA Engineer

• Contribute to QA strategy for Kubernetes and cloud-native environments
• Evaluate and champion testing practices and frameworks for distributed systems
• Lead risk analysis and test planning for large-scale, multi-cloud infrastructure and container orchestration
• Architect test frameworks and infrastructure for microservices and infrastructure components
• Oversee complex test scenarios simulating production workloads, scaling, failure injection, and recovery across distributed clusters
• Develop scalable test automation integrated with Jenkins, GitHub Actions, and other CI/CD systems
• Use Kubernetes APIs, Helm, and service mesh tools to build automation coverage for system health, failover, and network resilience
• Promote repeatable, extensible, and reliable infrastructure-as-code for test infrastructure
• Mentor QA engineers and developers in risk-based testing, chaos engineering, performance testing, and load testing
• Serve as QA authority in design reviews, production readiness assessments, and incident retrospectives
• Collaborate with DevOps engineers on monitoring, alerting, and debugging strategies for CI/CD test automation
• Establish quality gates, release readiness metrics, and data-driven feedback loops
• Integrate performance, security, and chaos testing into the development lifecycle
• Advocate for quality culture and influence architecture decisions with testing considerations

Senior QA Engineer – Level 4

Full-stack Engineer

• Set technical direction across the entire k0rdent engineering department spanning Core k0rdent, AI Infrastructure, and AI Applications
• Own end-to-end architectural coherence across the three areas
• Write code, design systems, prototype difficult problems, and resolve architectural decisions
• Partner with Directors of Engineering and Engineering Managers to translate product strategy into durable technical execution
• Serve as the engineering organization's senior technical voice with customers, partners, and upstream communities
• Provide cross-departmental technical leadership without direct supervisory authority
• Mentor and grow Staff and Principal engineers across the department
• Define and evolve the multi-quarter technical roadmap for k0rdent
• Lead design of high-risk, cross-cutting platform components and interfaces
• Establish department-wide standards for API design, testing, observability, performance, security, multi-tenancy, and operational readiness
• Partner with upstream Kubernetes, CNCF, OpenTelemetry, AI/ML, and model-serving communities
• Translate customer problems into technical options with product management and executive leadership
• Engage customers, contribute to upstream projects, and represent Mirantis at conferences, standards bodies, and technical publications
• Mitigate architectural, security, scalability, and integration risks

Senior Principal Engineer

Chief Marketing Officer

• Reposition Mirantis from a private cloud infrastructure company to a full-stack AI infrastructure company
• Build market gravity through analyst conversations, buyer shortlists, ecosystem conversations, earned attention, and brand awareness
• Personally craft positioning and messaging around open, vendor-agnostic AI infrastructure standards
• Own marketing across Enterprise and CSP/Neocloud businesses
• Develop coherent marketing for enterprise ABM, installed-base AI workload expansion, and reputation-driven CSP/Neocloud buyers
• Document marketing impact through case studies, metrics, and market-moving launches
• Lead, assess, develop, and reshape the existing marketing team
• Partner with BD to build relationships with NVIDIA and leading Neoclouds and turn them into joint go-to-market motions
• Report to the SVP & GM, with potential progression to the executive table based on impact
• Partner directly with Sales, Product, the CEO, and executive staff to shape company direction

VP of Marketing

• Set the technical direction across the entire k0rdent engineering department spanning core k0rdent, AI Infrastructure, and AI Applications
• Own end-to-end architectural coherence across the platform
• Write code, design systems, prototype difficult problems, and resolve architectural decisions
• Partner with engineering directors, managers, product management, and executive leadership to translate strategy into technical execution
• Serve as the senior technical voice with customers, partners, upstream communities, and external forums
• Define and evolve the multi-quarter technical roadmap for k0rdent
• Lead design of high-risk, cross-cutting components and interfaces across cluster/state management, GPU/AI runtimes, application serving, and observability
• Establish department-wide standards for API design, testing, observability, performance, security, multi-tenancy, and operational readiness
• Mentor Staff and Principal engineers and support technical career development and senior IC hiring
• Partner with Kubernetes, CNCF, OpenTelemetry, AI/ML projects, and model-serving runtime communities
• Represent Mirantis at customer engagements, upstream projects, conferences, standards bodies, and technical publications
• Identify and resolve architectural, security, scalability, and integration risks

Principal Engineer

• Build end-to-end product features in a modern Next.js and React application
• Develop and extend shared component libraries and design tokens across light and dark themes
• Own the server tier between the browser and platform, including request proxying, session handling, and secure credential management
• Implement OIDC authentication, JWT claim verification, session expiry, and role-based UI authorization
• Maintain the generated TypeScript SDK, code-generation pipeline, compatibility gates, and API drift detection
• Partner with backend teams on efficient API contracts
• Build resilient data-layer functionality including caching, invalidation, optimistic updates, pagination, and loading/error states
• Write component tests and Playwright end-to-end tests against live environments
• Ensure accessibility, responsive behavior, and web performance
• Instrument the application with error tracking, product analytics, feature flags, and structured logging
• Review code, debug production issues to root cause, add regression coverage, and mentor junior engineers
• Collaborate with distributed teams across North America, Europe, and Asia
• Drive frontend features from design through production deployment

Senior Full-Stack Engineer, TypeScript

• Own the technical relationship with CTOs, platform teams, and infrastructure leaders
• Translate customer regulatory, operational, and organizational constraints into deployable architecture
• Architect solutions across Container, OpenStack, and Enterprise AI offerings
• Lead proofs of concept by deploying platforms, prototyping AI workloads, debugging live, and demonstrating operational reality
• Communicate infrastructure solutions to CIOs and platform engineers in boardrooms, workshops, and whiteboard sessions
• Maintain technical continuity from discovery through proof of concept and account expansion
• Support greenfield opportunities across regulated verticals
• Feed field insight back into product and go-to-market teams
• Collaborate with European enterprise customers, platform engineering teams, and AI practitioners on scalable AI workloads and Kubernetes-based infrastructure across hybrid and multi-cloud environments

Senior Sales Engineer – Enterprise AI Infrastructure

Senior Corporate Security Engineer

Senior Site Reliability Engineer, SRE

Senior Site Reliability Engineer, SRE

Senior Technical Recruiter, Contract

Senior Site Reliability Engineer, SRE

Senior Site Reliability Engineer, SRE

Senior Site Reliability Engineer – SRE

Senior Pre-sales Solution Architect – Enterprise AI Infrastructure

Senior QA Engineer – Level 4

Senior Principal Engineer

VP of Marketing

Principal Engineer

Senior Full-Stack Engineer, TypeScript

Senior Pre-sales Solution Architect, Enterprise AI Infrastructure