Overview
About zaimler
Full job description
About zaimler
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 growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.
What You’ll Do
As our Founding Cloud Infrastructure Engineer, you’ll design, build, and own the cloud infrastructure that powers zaimler’s semantic platform. This isn’t a maintenance role. It’s a foundational build-from-scratch position, shaping choices we’ll live with for years.
Architect & Scale Infra: Design and deploy secure, fault-tolerant cloud infrastructure across AWS/Azure/GCP, using Kubernetes, Terraform, and modern IaC tools. Enable Distributed AI Workloads: Build and optimize compute systems for distributed frameworks like Ray and Kafka, ensuring scalability and reliability. GPU Orchestration: Manage GPU resources and scheduling for ML inference, retrieval, and training workloads. Drive Observability & Reliability: Implement monitoring, security, and best practices for high-availability ML/AI systems. Collaborate Across Teams: Work hand-in-hand with ML researchers and data scientists to ensure infra accelerates, not hinders, development.
We’re open to multiple levels of seniority (3–10+ years of engineering experience). What matters most is founder mindset + strong infra chops. Hands-on with Kubernetes + Terraform (real-world deployments, not just exposure). Experience with distributed systems (Ray, Dask, Spark, or similar). Exposure to Kafka or equivalent MQ systems. Strong programming/scripting in Python, Go, or similar. Track record of building or operating production-grade infra.
GPU scheduling/optimization experience. Prior startup/early-stage build-from-scratch experience. Experience supporting ML/AI workloads in production. Founder Traits Excited to own infra end-to-end as the first dedicated hire. Comfort with ambiguity; thrives in fast-moving, collaborative teams. Curiosity + grit: hungry to learn where gaps exist.
A rare chance to be a founding engineer shaping both company and product direction. Competitive salary, benefits, and meaningful equity. Work alongside engineers and researchers from LinkedIn, Visa, Meta, and Branch. Onsite culture in San Mateo, designed for deep collaboration and high-velocity building. We offer competitive compensation, equity, full benefits (Medical, Dental, Vision, 401k) We sponsor H-1B visas and assist with immigration processes
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v3
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Zaimler (lever) ↗Browse current Job and Scholarship listings from Zaimler (lever) →
