Cloud Infrastructure Engineer New

NetVerks Inc.; Bengaluru; On-site; INR 3,600,000 - 6,000,000; Full time

Job summary

zaimler is seeking a founding Cloud Infrastructure Engineer in Bangalore. You will build the foundation of our cloud infra, scale systems across AWS/Azure/GCP, and support APAC customers. Expect to shape infra with Ray, Kafka, and GPU orchestration while partnering with ML teams to accelerate research and production workloads.

You will join as an early hire, owning infra end-to-end and guiding the architecture as the company expands in India and beyond.

Qualifications

• 3–10+ years of engineering experience with a founder mindset.
• Hands-on with Kubernetes and Terraform in real deployments.
• Experience with distributed systems like Ray, Kafka, or similar.

Responsibilities

• Architect & scale cloud infrastructure across AWS/Azure/GCP.
• Enable distributed AI workloads and optimize compute.
• GPU orchestration for ML inference/training.
• Drive observability, security, and reliability of ML/AI infra.
• Collaborate with ML researchers and data scientists to accelerate development.

Skills

Kubernetes

Terraform

Distributed AI workloads

Ray

Kafka

Python

Go

Infrastructure production

Tools

AWS

Azure

GCP

Job description

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…

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

Requirements

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.