Senior Cloud Engineer

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 role is ideal for an engineer who has operated real multicloud environments in production—not someone limited to a single provider.

Responsibilities

• 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.

Requirements

• 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.
• Able to work across provider-specific services while maintaining consistent abstractions.

Qualifications

• 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.

Skills

• Strong technical skills in cloud platforms (AWS, GCP, Azure).
• Experience with Kubernetes and container orchestration.
• Proficiency in Terraform for infrastructure management.
• Understanding of cloud networking and security models.
• Experience with distributed systems and on-call operations.
• Knowledge of AI/ML and data-intensive workloads.

Benefits

• Competitive salary & equity options
• Sign-on bonus
• Health, Dental, and Vision insurance
• 401(k) plan