The Role
As the Founding Cloud Infrastructure Engineer, you'll design secure cloud infrastructures using AWS/Azure/GCP, support distributed AI workloads, manage GPU resources, and collaborate on ML initiatives.
Summary Generated by Built In
About zaimler
zaimler is building the next-generation semantic platform that links fragmented enterprise data and extracts meaning with knowledge-distilled models. We’re creating the foundation for AI systems that don’t just generate, but retrieve, link, and reason over enterprise knowledge.
In just over a year, we’ve begun partnering with Fortune 500 design partners in insurance, travel, and technology, deploying our semantic platform into some of the world’s most complex and high-volume data ecosystems. Our platform enables enterprises to make their data AI-ready from the start: automating ontology creation, data mapping, and retrieval-augmented reasoning at scale.
Our team comes from LinkedIn, Visa, Meta, and Branch, and has spent decades solving data and infrastructure challenges at scale. Backed by top VCs, we’re building the next foundational layer for enterprise AI.
What You’ll Do
As our Founding Cloud Infrastructure Engineer, and an early hire in our Bangalore office, you’ll build the foundation of zaimler’s cloud infrastructure while shaping our presence in India. You’ll also play a key role in supporting our customers across the Asia-Pacific region, ensuring the systems you design scale globally and deliver real impact locally
Key Responsibilities
- 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.
Who We’re Looking For
- 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.
Nice to Haves
- 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.
What We Offer
- 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
Skills Required
- Hands-on with Kubernetes and Terraform
- Experience with distributed systems like Ray, Dask, or Spark
- Strong programming/scripting in Python or Go
- Track record of building or operating production-grade infrastructure
Am I A Good Fit?
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The Company
What We Do
Zaimler is an AI infrastructure company that provides a platform for enterprise AI agents. It focuses on discovering domain knowledge, mapping relationships, and providing semantic understanding to enable autonomous agents to reason over fragmented enterprise data. Founded by industry veterans, the company aims to build the infrastructure layer for the agentic era, supporting real-time inference and precision at scale for enterprises in sectors like insurance, travel, and technology.
