高级首席工程师
Senior Principal Engineer
Mirantis,IREN旗下公司,是一家以Kubernetes为核心的AI基础设施公司,帮助组织构建和运营可扩展、安全且自主的基础设施,用于现代AI、机器学习和数据密集型应用。通过将开源创新与对Kubernetes编排的深入专业知识相结合,Mirantis使平台工程团队能够在任何环境中——本地部署、云上、边缘或自主数据中心——交付可组合的、生产就绪的开发者平台。随着企业应对日益复杂的AI驱动工作负载,Mirantis提供自动化、GPU编排和策略驱动的控制,以自信和敏捷的方式管理基础设施。Mirantis致力于开放标准,避免供应商锁定,确保客户对其基础设施战略拥有完全控制权。https://www.mirantis.com/
作为k0rdent的高级首席工程师,你将为整个k0rdent工程部门设定技术方向——涵盖核心k0rdent、AI基础设施和AI应用。你是组织中最资深的个人贡献者,也是工程领导团队的技术对应方。你将负责这三个领域的端到端架构一致性,确保他们共同产出的平台大于各部分之和:一个统一的、生产级系统,用于在Kubernetes上以企业和服务提供商规模运行现代和AI工作负载。
这个职位技术深度高且范围广泛。你将编写代码、设计系统、对最困难的问题进行原型开发,并解决架构决策。你将与工程总监和工程经理合作,并在部门内跨职能协作,将产品战略转化为持久的技术实现,同时你将成为工程组织在客户、合作伙伴和上游社区中的高级技术代表。
技术领导范围:
在没有直接监督权的情况下,提供跨部门的技术领导。在核心k0rdent、AI基础设施和AI应用三大支柱中指导和培养高级工程师和首席工程师,通过架构和代码评审提升技术标准,并作为部门在跨职能、客户和外部论坛中的高级技术代表。
主要职责:
· 负责跨部门技术战略:制定并持续优化多季度技术路线图,确保技术方向与业务目标一致
· 指导技术决策:在关键架构问题上提供专业意见,推动技术方案的落地
· 促进团队协作:与产品、工程和其他相关团队紧密合作,确保技术实现符合产品愿景
· 提升技术影响力:在内部和外部技术社区中代表公司,分享技术见解和最佳实践
· 推动技术创新:识别并推动新技术、新工具的引入,提升整体技术能力
查看英文原文
Mirantis, an IREN company, 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. https://www.mirantis.com/
As a Senior Principal Engineer for k0rdent, you will set the technical direction across the entire k0rdent engineering department — spanning core k0rdent, AI Infrastructure, and AI Applications. You are the most senior individual contributor in the organization and the technical counterpart to the engineering leadership team. You will own end-to-end architectural coherence across these three areas, ensuring that the platform they collectively produce is greater than the sum of its parts: a unified, production-grade system for running modern and AI workloads on Kubernetes at enterprise and service provider scale.
This role is deeply technical and deliberately broad. You will write code, design systems, prototype the hardest problems, and resolve the architectural decisions. You will partner with the Director(s) of Engineering and Engineering Managers and across the department to translate product strategy into durable technical execution, and you will be the engineering organization's senior technical voice with customers, partners, and upstream communities.
Technical Leadership Scope:
Provide cross-departmental technical leadership without direct supervisory authority. Mentor and grow Staff and Principal engineers across all three pillars (Core k0rdent, AI Infrastructure, AI Apps), raise the technical bar through architecture and code review, and serve as the department's senior technical representative in cross-functional, customer, and external forums.
Main Responsibilities:
· Own Cross-Departmental Technical Strategy: Define and evolve the multi-quarter technical roadmap for k0rdent as a whole. Ensure that decisions made in core k0rdent, AI Infrastructure, and AI Apps compose into a coherent platform rather than four parallel tracks. Identify the architectural bets that will let k0rdent scale across customers, clouds, hardware generations, and workload types, and drive consensus on which to make.
- Architect Across Pillars: Lead the design of the highest-risk, cross-cutting components and contracts in the platform — the cluster and state management primitives in KCM/KSM, the GPU/accelerator and AI runtime layer in AI Infrastructure, the application and serving experience in AI Apps, and the telemetry, signal, and SLO surface in Observability. Own the interfaces and abstractions that connect them.
- Set Engineering Standards: Establish department-wide patterns and quality bars — API design, testing strategy, observability requirements, performance, security, multi-tenancy, and operational readiness. Drive their adoption through example, review, and direct collaboration with Engineering Managers and tech leads.
- Mentor and Grow Engineers: Coach Staff and Principal engineers across all four pillars and partner with Engineering Managers on technical career development throughout the department. Help calibrate and raise the bar for senior IC hiring.
- Drive Alignment with the Broader Ecosystem: Partner with engineering leaders outside k0rdent and with upstream communities (Kubernetes, CNCF, OpenTelemetry, CNCF AI/ML projects, model-serving runtimes) to ensure k0rdent's decisions compose cleanly with the broader cloud-native landscape that customers run alongside it.
- Inform Product and Business Strategy: Work directly with product management and executive leadership to translate customer problems into technical options, and surface the technical realities — risks, costs, time horizons — that should shape product decisions across the department.
- Represent Mirantis Externally: Engage with customers on the deepest technical questions, contribute to upstream projects, and represent Mirantis in conferences, standards bodies, and technical publications.
Business Impact:
· Architectural Coherence: Ensure that work done across engineering pillars adds up to one platform. This is the single largest source of leverage — and the largest source of risk — at this stage of k0rdent's growth.
- Revenue Enablement: Unblock and accelerate revenue-driving capabilities by personally owning the cross-cutting technical risks that would otherwise stall product delivery or force costly rewrites.
- Quality and Reliability: Establish the engineering standards and review practices that keep a platform spanning core orchestration, AI workloads, and observability production-ready.
- Risk Mitigation: Identify and resolve architectural, security, scalability, and integration risks before they become customer-visible incidents or block strategic deals.
- Talent Density: Raise the technical ceiling of the entire k0rdent engineering organization by mentoring senior ICs and shaping Staff- and Principal-level hiring.
Required Skills/Abilities:
· Deep Technical Breadth: Expert-level proficiency across the surface area k0rdent covers — 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). You don't need to be the deepest expert in all four, but you must be credible and effective in each.
- Systems Architecture: Demonstrated ability to design large-scale, multi-tenant systems that span multiple subsystems and hold up under real production conditions, and to communicate those designs clearly in writing.
- Technical Strategy: Ability to look two to three years ahead, identify the architectural decisions that matter most across a broad surface area, and sequence them against business reality.
- Influence Without Authority: Track record of driving technical direction across multiple teams and organizations through clarity, credibility, and collaboration rather than reporting lines.
- Mentorship: Demonstrated success developing senior engineers — Staff, Principal, and Tech Lead level — and raising the technical bar of an organization.
- Communication: Ability to explain complex technical tradeoffs clearly to engineers, executives, customers, and the broader community, in both writing and conversation.
- Business Judgment: Solid understanding of how engineering decisions translate into cost, revenue, and risk, and willingness to weight technical choices accordingly.
- Decision-Making Under Uncertainty: Strong judgment in fast-moving domains where the technology — particularly AI infrastructure — is evolving as quickly as the product.
- Cross-Functional Collaboration: Effective partnership with product management, design, sales engineering, and customer-facing teams across a broad portfolio.
Education and Experience:
· Bachelor’s degree in Computer Science or related field or 10 years related experience.
- At least five years in a technical leadership role preferred.
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.
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