Scale AIEngineering Manager, Infrastructure
London, UK · 全职 · 工程与基础设施
需要对标的能力
AI 应用 · 人机协同Agent · 智能体设计AI Infra · 推理部署评测 · Eval 方法论AI 产品设计 · 产品化
岗位职责与要求
About our Enterprise Team:
Our team owns the full deployment lifecycle of SGP in live customer environments — from initial rollout through long-term operational health. We work cross-functionally with customers, GTM, product, and infrastructure to ensure every deployment is production-ready, secure, and built to last.
We’re looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI.
We don't just ship and move on. We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last. If you're energized by solving complex technical problems at the intersection of customer impact and platform excellence, this is the team for you.
Responsibilities:
· Define and execute the infrastructure roadmap aligned with business and engineering priorities.
· Lead the design and implementation of scalable, secure, and reliable infrastructure systems.
· Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience.
· Manage the engineering team and drive technical delivery
· Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation
· Influence the culture, values, and processes of a growing engineering team
· Inspire and mentor engineers.
· Work closely with product, security, and engineering leadership to align on goals and priorities.
Requirements:
· At least 5 years of relevant experience and at least 2+ years of experience managing infrastructure or platform teams.
· Proven experience with cloud platforms such as AWS, GCP, Azure or OCI.
· Proven experience with kubernetes deployments on on-prem infrastructure.
· Deep understanding of CI/CD pipelines (e.g., Circle CI, Github Actions), infrastructure-as-code (e.g., Terraform), and container orchestration (e.g., Kubernetes).
· Experience managing production environments with high availability, reliability, and scalability requirements.
· Familiarity with monitoring, alerting, and incident response best practices.
· Experience working with modern developer platforms and internal tooling to improve engineering velocity.
· Solid foundation and real-world experience in network engineering
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
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关于我们的 Enterprise Team：
我们的团队负责 SGP 在客户生产环境中的完整部署生命周期 —— 从初始 rollout 到长期运营健康。我们跨职能地与客户、GTM、product 和 infrastructure 团队协作，确保每次部署都达到生产就绪、安全且可持续的标准。
我们正在寻找一位 Infrastructure Engineering Manager，帮助我们塑造 AI-powered applications 的未来。在这个角色中，你将 bridging the gap between AI research and production，领导一个将创新原型转化为可扩展、高性能 enterprise solutions 的团队。你的团队将致力于 interactive AI applications、enterprise SaaS products 和 platform capabilities，重新定义企业如何利用 AI。
我们不只是交付后就离开。我们紧密关注 customer experience，将 real-world deployment challenges 转化为 platform improvements、automation 和 scalable playbooks，让未来的每次 rollout 都比上一次更顺畅。如果你热衷于在 customer impact 和 platform excellence 的交汇点解决复杂的技术问题，这个团队就是为你而设的。
Responsibilities:
· 制定并执行与业务和工程优先级对齐的 infrastructure roadmap。
· 领导可扩展、安全且可靠的 infrastructure systems 的设计和实现。
· 为 platform uptime、performance 和 developer experience 设定并维护 SLAs/SLOs。
· 管理工程团队并推动技术交付
· 设计、构建和优化 advanced AI-driven applications 的 backend services，重点关注 AI agents、evaluation tooling 和 automation
· 影响 growing engineering team 的文化、价值观和流程
· 激励并指导工程师。
· 与 product、security 和 engineering leadership 紧密合作，对齐目标和优先级。
Requirements:
· 至少 5 年相关经验，以及至少 2 年以上管理 infrastructure 或 platform teams 的经验。
· 具有 AWS、GCP、Azure 或 OCI 等 cloud platforms 的实践经验。
· 具有在 on-prem infrastructure 上进行 kubernetes deployments 的实践经验。
· 深入理解 CI/CD pipelines（例如 Circle CI、Github Actions）、infrastructure-as-code（例如 Terraform）和 container orchestration（例如 Kubernetes）。
· 具有管理高可用性、可靠性和可扩展性要求的 production environments 的经验。
· 熟悉 monitoring、alerting 和 incident response 的最佳实践。
· 具有使用 modern developer platforms 和 internal tooling 以提升 engineering velocity 的经验。
· 在 network engineering 方面有扎实的基础和 real-world 经验
请注意：我们的政策要求对同一岗位的候选人设有 90 天的等待期，方可重新考虑。这使我们能够确保对所有申请者进行公平且充分的评估。
About Us:
译文仅供辅助阅读，具体要求以原始招聘来源为准。