Senior Cloud Infrastructure Engineer

The role

You will architect and manage large-scale compute and data infrastructure for an autonomous driving stack. You will build high-performance systems, pipelines, and AI platforms including multi-GPU clusters and automated workflows.

What you will do

• Architect and maintain mission-critical Kubernetes clusters optimized for heavy GPU/TPU workloads
• Implement and optimize Kubernetes-native GPU scheduling
• Drive the Everything as Code philosophy using Terraform, Helm, and cloud-native tools
• Deploy Autonomous AI Agents to monitor cluster health and enable automated triage
• Build large-scale pipelines using Apache Airflow, Kafka, and Spark
• Implement GitOps workflows using ArgoCD and Gitlab CI/CD
• Maintain visibility into infrastructure health and model serving performance
• Develop agent-driven workflows to optimize developer experience
• Design and maintain MLFlow and feature store integrations
• Build automated model lifecycles using Airflow and Kubernetes

Required qualifications

• 5+ years in Cloud Infrastructure, DevOps, or MLOps supporting high-scale compute environments
• Deep expertise in K8s, Helm, and container orchestration
• Strong background in Apache Airflow, Argo Workflows, MLFlow, and Terraform
• Practical experience supporting frameworks like Ray and PyTorch Distributed
• Proficiency in Python
• Bash scripting
• Solid understanding of IAM/RBAC

Nice to have

• Deep understanding of FSDP, and DeepSpeed
• Experience building Agentic Workflows (LangGraph, AutoGen) for infrastructure automation or data curation
• Familiarity with Model Context Protocol (MCP) to connect AI agents with infrastructure tools

About the company

Gatik is a leader in autonomous middle-mile logistics providing an autonomous transportation-as-a-service solution. The company focuses on short-haul, B2B logistics for Fortune 500 retailers using proprietary Level 4 autonomous technology.