Senior Cloud Engineer (Multicloud)

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. This is an exceptional opportunity to join a world-class team building infrastructure for the next generation of AI systems.

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. Your expertise will directly impact the performance and reliability of mission-critical AI infrastructure.

What You'll 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 We're Looking For

• 5+ years of experience as a Cloud, Platform, or 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
• Terraform expertise managing multicloud infrastructure at scale
• Solid understanding of cloud networking differences and security models across providers
• Experience operating distributed systems with on-call ownership and incident response
• Proficiency with containerization, CI/CD pipelines, and modern DevOps practices
• English (required)

Location & Start

Primary Location: Cambridge, MA (Eastern Time / UTC -4). Relocation package available or remote option for out-of-state applicants. Start Date: ASAP

💰 Compensation not publicly listed. Market estimate for similar roles: from $80K, varying by experience and location.