We are seeking a Senior Cloud Infrastructure & AI Platform Engineer to lead enterprise cloud engineering initiatives focused on automation, Infrastructure as Code (IaC), AI-enabled cloud services, and scalable Kubernetes-based platform solutions across GoogleCloudPlatform(GCP) and MS Azure environments. This role requires deep hands-on experience in cloud infrastructure engineering, Terraform automation, container orchestration, and modern AI/ML cloud services. The ideal candidate will work closely with engineering teams, product teams, and cloud vendors to design, deploy, optimize, and support enterprise-scale cloud platforms., o Lead large-scale cloud engineering and infrastructure modernization initiatives across Azure and GCP o Design, automate, and provision cloud infrastructure using Infrastructure as Code (IaC) methodologies o Develop reusable Terraform modules and GitHub-based CI/CD deployment workflows o Build and support scalable Kubernetes/container-based cloud platforms o Engineer and optimize enterprise cloud solutions for performance, reliability, security, and scalability o Collaborate with product teams and cloud vendors to deploy innovative cloud-native services o Implement cloud governance, monitoring, logging, and operational best practices o Support AI/ML cloud enablement initiatives using Azure AI and GCP AI service offerings o Troubleshoot and resolve complex cloud platform and infrastructure issues o Document architecture, operational procedures, and engineering standards o Drive adoption of DevOps, SRE, and automation best practices across teams o Work within a globally distributed engineering organization supporting enterprise cloud platforms

o 5+ years of Software Engineering or Cloud Infrastructure Engineering experience o 3+ years of hands-on experience with:

GCP and/or MSAzure

Infrastructure as Code (IaC)

Enterprise cloud platform deployments

o 2+ years of hands-on Terraform experience o Strong experience with GitHub and CI/CD automation pipelines o Experience provisioning and managing Kubernetes-based infrastructure platforms o Strong understanding of cloud networking concepts including:

VNETs

DNS

Load Balancers

Firewalls

RBAC/IAM

Security Guardrails

o Experience with scripting and automation using Python and/or Shell scripting o Experience with at least three of the following AI/ML cloud technologies:

Azure AI Foundry

Azure Machine Learning

Azure AI Search

Document Intelligence

Vertex AI

Document AI

LLM platforms

Agentic AI frameworks

Preferred Qualifications o Cloud certifications in Azure and/or GCP o Experience with Agile, DevOps, CI/CD, and Site Reliability Engineering (SRE) principles o Experience building large-scale AKS or GKE environments o Exposure to cloud governance, observability, logging, and monitoring platforms o Familiarity with:

LangChain

MCP

ADK

A2A frameworks

Agent Engine

NotebookLM

Agentspace

o Understanding of cloud security, authentication methods, and data protection strategies o Experience supporting enterprise landing zones and cloud blueprint implementations o Excellent communication and stakeholder management skills o Ability to explain complex technical solutions to both technical and business audiences The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually - as applicable.