Description

Role Summary We are seeking a hands-on Cloud GenAI Platform Engineer to support an enterprise GenAI platform enabling predictive and generative AI inferencing across both Google Cloud Platform and Azure. This role is focused on platform/infrastructure provisioning (IaaS/PaaS): creating cloud projects/subscriptions, enabling required services, establishing secure access/entitlements, deploying containerized components, and automating everything through Terraform. This is not an application development or RAG/agent pipeline build role.

Key Responsibilities (Day-to-Day)

• Cloud Provisioning for GenAI Consumers: Build secure, repeatable cloud environments for internal teams consuming GenAI services (e.g., provisioning Google Cloud Platform projects / Azure resources, enabling notebooks, endpoint access, guardrails, telemetry integrations).
• Infrastructure as Code (Terraform): Author, enhance, and maintain Terraform modules/scripts to automate: Cloud project/resource creation IAM/entitlements setup and access control Network/security baseline configuration Enablement of required GenAI platform services
• Containers & Kubernetes Operations: Package, deploy, and troubleshoot containerized services; debug runtime issues, image builds, configuration, and cluster-level behavior.
• Platform Troubleshooting & Support: Rapidly diagnose issues across cloud console/portals, infrastructure configs, IAM, containers, and platform integrations; drive issues to resolution with clear root-cause documentation.
• Cross-Team Provisioning Coordination: Partner with internal platform/security/operations teams to complete environment provisioning and ensure standards are met.

Required Skills / Qualifications

• Strong hands-on experience with both: 5+ years Google Cloud Platform (projects, IAM, service enablement, console navigation)
• 5+ years Azure (subscriptions/resource groups, IAM/RBAC, portal navigation)
• Proven hands-on experience with: 3+ years Terraform (writing/debugging IaC, modularization, state management basics)
• 3+ years Containers (Docker/container build & runtime debugging)
• 3+ years Kubernetes (deployments, services, configmaps/secrets, troubleshooting)
• Strong troubleshooting skills across: Cloud access/permissions (IAM/RBAC) Container failures, image issues, runtime misconfigurations Basic networking and API connectivity patterns

Preferred / Nice-to-Have

• Familiarity with GenAI platform governance/guardrails concepts (e.g., policy enforcement, request/response inspection).
• Exposure to * limiting / API gateway behaviors and diagnosing throttling patterns.
• Experience in regulated enterprise environments (security-first provisioning).

Experience Level Typically 6 10+ years in cloud/platform engineering roles (flexible based on depth of hands-on skills).

Additional Details

• Skill Category : Niche
• RC- Domain : Data & Analytics
• RC- Subdomain : 25 - Big Data, Data Science & Analytics (Apache Hadoop HDFS, Base/Hive/Pig/Mahout/Flume/Scoop/MapReduce/Yarn, Cloudera HD, NoSQL, R, Spark/Shark/Milb, MATLAB)
• RC- Role : Architect
• RC- Experience Level : III
• RC- Geo Tier : US-3
• RC- Exception Required : No

Key Skills

Education

Any Graduate