高级工程师 (多云)
Senior Engineer (Multicloud)
地点：马萨诸塞州剑桥（东部时间/UTC -4），提供搬迁补贴或为非本地申请者提供远程选项
开始日期：尽快
语言：英语（必需）
关于该职位
Pragmatike 代表一家由 MIT CSAIL 研究人员创立的快速发展的 AI 初创公司进行招聘，该公司被 GTM Capital 评为 Top 10 GenAI 公司。
我们正在寻找一位高级云工程师（多云方向），要求有深入的、实际经验，在 AWS、GCP 和 Azure 上构建、运营和扩展生产环境基础设施。你将直接参与支持大型分布式 AI 系统的云和平台层，这些系统被财富 500 强客户使用。
该职位适合在生产环境中实际操作过真实多云环境的工程师，而不是仅限于单一供应商的人。你将负责构建可靠、可扩展的系统，同时应对不同云原生组件、网络模型和运维权衡的复杂性。
你将负责
- 在 AWS、GCP 和 Azure 上构建、部署和运营生产环境基础设施。
- 使用 Infrastructure as Code（优先 Terraform）保持一致的环境。
- 在多个云服务商上部署和运营 Kubernetes 集群和容器化工作负载。
- 设计和管理云网络（VPC/VNet 设计、对等连接、负载均衡、私有连接）。
- 为多云系统实现监控、日志、告警和事件响应。
- 通过自动扩展和容量规划优化跨供应商的性能、可靠性和成本。
- 支持多云环境中的 AI 训练和推理工作负载。
- 排查涉及计算、网络、存储和 Kubernetes 层的复杂生产问题。
- 与 AI、后端和平台团队紧密合作，支持生产系统。
我们寻找的条件
- 5 年以上云/平台/基础设施工程师经验。
- 实际生产环境中的 AWS、GCP 和 Azure 经验（至少在一个方面有深入专长）。
- 在多个云上具有生产环境 Kubernetes 运维经验。
- 具备使用 Terraform 管理多云基础设施的强项。
- 对各云服务商之间的云网络差异和安全模型有扎实理解。
- 具有操作分布式系统的经验，并具备值班责任意识。
- 能够在不同供应商服务之间工作，同时保持一致的抽象层。
加分项
- 具备支持 AI/ML 或数据密集型应用的经验
查看英文原文
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available or Remote option for Out-Of-State applicants
Start date: ASAP
Languages: English (required)
ABOUT THE ROLE
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are searching for a Senior Cloud Engineer (Multicloud) with deep, hands-on experience building, operating, and scaling production infrastructure across AWS, GCP, and Azure. You will work directly on the cloud and platform layer supporting large-scale, distributed AI systems used by Fortune 500 customers.
This role is ideal for an engineer who has operated real multicloud environments in production—not someone limited to a single provider. You will be responsible for building reliable, scalable systems while navigating the complexity of differing cloud primitives, networking models, and operational trade-offs.
WHAT YOULL DO
- Build, deploy, and operate production infrastructure across AWS, GCP, and Azure.
- Maintain consistent environments using Infrastructure as Code (Terraform preferred).
- Deploy and operate Kubernetes clusters and containerized workloads across multiple cloud providers.
- Design and manage cloud networking (VPC/VNet design, peering, load balancing, private connectivity).
- Implement monitoring, logging, alerting, and incident response for multicloud systems.
- Optimize performance, reliability, and cost across providers through autoscaling and capacity planning.
- Support AI training and inference workloads in multicloud environments.
- Troubleshoot complex production issues spanning compute, networking, storage, and Kubernetes layers.
- Collaborate closely with AI, backend, and platform teams to support production systems.
WHAT WERE LOOKING FOR
- 5+ years of experience as a Cloud / Platform / Infrastructure Engineer.
- Hands-on production experience with AWS, GCP, and Azure (deep expertise in at least one).
- Strong experience running Kubernetes in production across multiple clouds.
- Strong Terraform experience managing multicloud infrastructure.
- Solid understanding of cloud networking differences and security models across providers.
- Experience operating distributed systems with on-call ownership.
- Ability to work across provider-specific services while maintaining consistent abstractions.
BONUS POINTS
- Experience supporting AI/ML or data-intensive workloads in production.
- Exposure to GPU-enabled cloud infrastructure or high-performance compute.
- Experience with CI/CD automation and release pipelines.
- Familiarity with compliance requirements (SOC 2, ISO 27001).
- Startup experience or comfort in fast-moving, ambiguous environments.
WHY THIS ROLE WILL PIVOT YOUR CAREER
- Research pedigree: MIT CSAIL founders with deep systems and AI expertise.
- Customer impact: Infrastructure powering Fortune 500 companies.
- Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave).
- Funding & growth: Oversubscribed seed round, next funding planned for 2026.
- Ownership: Operate and scale real multicloud production systems.
- Technical depth: Solve hard reliability and scaling problems across providers.
BENEFITS
- Competitive salary & equity options
- Sign-on bonus
- Health, Dental, and Vision
- 401(k)
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.