
501 - 1000 employees
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.
đ„ 14 hours ago
đ Kazakhstan, United States â Remote
â° Full Time
đ Senior
đ§âđ» Full-stack Engineer
đ» Ghost score 21%
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501 - 1000 employees
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.
âą Set technical direction across the entire k0rdent engineering department spanning Core k0rdent, AI Infrastructure, and AI Applications âą Own end-to-end architectural coherence across the three areas âą Write code, design systems, prototype difficult problems, and resolve architectural decisions âą Partner with Directors of Engineering and Engineering Managers to translate product strategy into durable technical execution âą Serve as the engineering organization's senior technical voice with customers, partners, and upstream communities âą Provide cross-departmental technical leadership without direct supervisory authority âą Mentor and grow Staff and Principal engineers across the department âą Define and evolve the multi-quarter technical roadmap for k0rdent âą Lead design of high-risk, cross-cutting platform components and interfaces âą Establish department-wide standards for API design, testing, observability, performance, security, multi-tenancy, and operational readiness âą Partner with upstream Kubernetes, CNCF, OpenTelemetry, AI/ML, and model-serving communities âą Translate customer problems into technical options with product management and executive leadership âą Engage customers, contribute to upstream projects, and represent Mirantis at conferences, standards bodies, and technical publications âą Mitigate architectural, security, scalability, and integration risks
âą Expert-level proficiency across Kubernetes internals and cluster lifecycle, distributed systems, AI/ML workload runtimes, model serving, GPU scheduling, autoscaling under bursty inference traffic, and modern observability (metrics, logs, traces, SLOs) âą Ability to design large-scale, multi-tenant systems spanning multiple subsystems and communicate designs clearly in writing âą Ability to identify and sequence important architectural decisions two to three years ahead against business reality âą Track record of driving technical direction across multiple teams and organizations without direct authority âą Demonstrated success developing Staff, Principal, and Tech Lead-level engineers âą Ability to explain complex technical tradeoffs clearly to engineers, executives, customers, and the broader community âą Understanding of how engineering decisions translate into cost, revenue, and risk âą Strong judgment in fast-moving domains, particularly AI infrastructure âą Effective partnership with product management, design, sales engineering, and customer-facing teams âą Bachelor's degree in Computer Science or related field, or 10 years related experience âą At least five years in a technical leadership role preferred
âą Professional development and training âą Attend conferences and working groups âą Company outings, happy hours, hackathons, and tech talks âą Competitive compensation package with a strong benefits plan âą Remote work arrangement
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