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基础设施软件工程师

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查看雇主原标题Software Engineer, Infrastructure

Cursor (Anysphere) · San Francisco; New York

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 42/100,仅依据与该职位一起存储的证据计算。

42/100 发现指数
  • 新的雇主官方职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+1
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

我们的使命是实现编码自动化。我们旅程的第一步是打造面向专业程序员的最佳工具,融合富有创造力的研究、设计与工程。我们的组织非常扁平,团队规模小但人才密度高。我们尤其欣赏求真、充满热情且富有创造力的人。我们享受激烈的辩论、疯狂的想法,以及不断交付代码。

岗位职责

作为 SpaceXAI 基础设施团队的软件工程师,你将负责所有服务运行所依赖的基础云与网络层:网络基础、容器编排、边缘与安全基础设施,以及支撑生产环境的计算运行时。 SpaceXAI 是全球增长最快的开发者工具之一,你将推动成本管理、区域部署策略和基础设施统一化,使这种增长成为可能。当你的系统运行良好时,每个团队都会更高效,每个产品界面都会更可靠,Cursor 也能扩展到服务各地的开发者。 示例项目包括…… • 负责 Kubernetes 和集群基础:构建并运营生产集群,配备完善的服务网格、扩缩容和入口,让各团队能够放心部署。

• 设计地理部署架构:构建可复制、稳健的流程,用于跨云区域和云服务商部署地理复制服务。

• 构建边缘与安全基础设施:设计边缘的网络与安全层,以防范滥用、管理限流并优化流量路由。

• 负责成本管理与优化:构建归因系统、识别浪费,并确保我们在所有云支出中在成本与可靠性之间做出明智权衡。

• 统一计算平台:定义单一且有明确主张的容器编排策略,让每个团队开箱即得一致、可靠的部署。

如果你符合以下条件,可能很适合 • 你在 AWS(或同类云服务商)方面有深厚经验,尤其是 VPC 网络、EKS/K8s 以及 IAM/账户管理。

• 你曾大规模构建并运营生产 Kubernetes 集群,包括服务网格、自动扩缩容和多区域部署。

• 你了解边缘网络、CDN/WAF 架构以及基础设施层面的流量管理。

• 你重视基础设施即代码、可复现性,并让其他团队能够自助获得可靠的基础设施。

• 有大规模成本优化或基础设施迁移/统一化经验者优先。

• 你具备扎实的软件工程基础,并乐于构建让其他所有团队更高效的平台。

申请 如果看起来合适,我们会联系你安排 2-3 轮简短的技术面试。之后,我们会安排一次在我们办公室的现场面试,你将参与一个小项目、讨论想法并认识团队。 #LI-DNI

以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。

查看雇主原文

职位描述

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

岗位职责

As a Software Engineer on the Infrastructure team at SpaceXAI, you'll own the foundational cloud and networking layer that every service runs on: network foundations, container orchestration, edge and security infrastructure, and the compute runtimes that power production. SpaceXAI is one of the fastest-growing developer tools in the world, and you'll drive the cost management, regional deployment strategy, and infrastructure unification that make that growth possible. When your systems work well, every team is more productive, every product surface is more reliable, and Cursor can expand to serve developers everywhere. Example projects include... • Owning Kubernetes and cluster foundations: building and operating production clusters with proper service mesh, scaling, and ingress that teams can confidently deploy to.

• Designing the geo-deployment architecture: building a replicable, robust process for deploying geo-replicated services across cloud regions and providers.

• Building edge and security infrastructure: designing the networking and security layer at the edge to protect against abuse, manage rate limiting, and optimize traffic routing.

• Owning cost management and optimization: building attribution systems, identifying waste, and ensuring we're making smart tradeoffs between cost and reliability across all cloud spend.

• Unifying the compute platform: defining a single, opinionated container orchestration strategy so every team gets consistent, reliable deployments out of the box.

You may be a fit if • You have deep experience with AWS (or comparable cloud providers), especially VPC networking, EKS/K8s, and IAM/account management.

• You've built and operated production Kubernetes clusters at scale, including service mesh, autoscaling, and multi-region deployments.

• You understand edge networking, CDN/WAF architectures, and traffic management at the infrastructure level.

• You care about infrastructure-as-code, reproducibility, and making it easy for other teams to self-serve reliable infrastructure.

• Experience with cost optimization at scale or infrastructure migration/unification is a plus.

• You have strong software engineering fundamentals and enjoy building the platform that makes every other team faster.

Applying If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. #LI-DNI

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