As the Founding Cloud Infrastructure Engineer, you will build the foundational layer for AI agents to reason over complex enterprise data. You will design and own multi-cloud architecture, production Kubernetes, and GPU-intensive ML pipelines from scratch, moving beyond maintenance to shape the core infrastructure of the next decade of agentic AI.
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Founding Cloud Infrastructure Engineer at zaimler
95% of enterprise AI pilots fail because agents lack domain context. As the Founding Cloud Infrastructure Engineer, you'll design the multi-cloud, Kubernetes-driven, and GPU-optimized systems that power real-time reasoning for AI agents. This isn't a maintenance gig; it's a build-from-scratch role with founding-team equity, working alongside an elite senior engineering team to define how the next decade of agentic AI operates at scale.
About this role
Role overview
About the company
Zaimler
Technology
AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.
zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.
zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're a small, senior team at the seed stage, deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of AI runs on, we'd love to talk.
What you'll do
What you will do
- Design and operate multi-cloud infrastructure using AWS, GCP, and Azure with a focus on VPC networking, IAM, and automated capacity planning.
- Architect and manage production Kubernetes clusters including node pool management, service mesh, and GitOps workflows using Terraform, Argo, and Istio.
- Build and scale distributed ML infrastructure for model serving using Ray and Ray Serve, optimizing GPU scheduling and performance for inference.
Who you are
Who this is a fit for
- 3-10+ years of infrastructure experience with deep expertise in production-grade Kubernetes, Docker, Helm, and Infrastructure-as-Code using Terraform.
- Hands-on experience building distributed ML systems or GPU-intensive workloads using frameworks like Ray and Ray Serve in a production environment.
- Strong software engineering background in Python or Go with the ability to build automated CI/CD pipelines and full-stack observability using Prometheus and Grafana.
Why this role
Why this role is remarkable
- Founding opportunity to build a high-scale infrastructure layer from the ground up alongside senior engineers from LinkedIn, Meta, Visa, and Branch.
- Solve the critical "context gap" in enterprise AI by engineering systems that support real-time inference and domain intelligence for autonomous agents.
- High-velocity startup environment with Series A funding and active deployments across major enterprise sectors like insurance, travel, and technology.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.