Senior Cloud Engineer
Skills
About the role
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)
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