Senior Engineer (Multicloud)

Job description

**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.*