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Salary
$38k – $84k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Zaimler gives enterprise AI agents a live understanding of your business, answered from your system of record and resolved at the moment they act on it.

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.
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