Pragmatike is hiring a Senior Engineer (Multicloud)

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)