Senior Cloud & AI Platform Engineer

NTT DATA, Inc.; Indianapolis (IN); Hybrid; USD 150,000 - 210,000; Full time

Job summary

NTT DATA is seeking a Senior Cloud & AI Platform Engineer to architect, build, and operate enterprise-scale AI platforms across multi-cloud environments. The role focuses on secure, scalable AI platforms using Azure, GCP, Kubernetes, and OpenShift.

You will design, deploy, and optimize GPU-enabled infrastructure, automate provisioning with Terraform and CI/CD, and work closely with Data Science, Security, and Operations teams to deliver reliable AI solutions.

Responsibilities

• Design, implement, and manage cloud-native AI platforms across Azure and GCP.
• Deploy and administer Kubernetes and OpenShift environments for enterprise AI workloads.
• Develop IaC solutions and automate provisioning using Terraform and CI/CD.
• Build AI/LLM serving infrastructure for production deployments.
• Optimize GPU infrastructure and performance for AI workloads.
• Develop automation, APIs, and platform services using Python and REST.
• Implement secure authentication, authorization, and API management.
• Establish observability, monitoring, and reliability standards.
• Collaborate with Data Science, Engineering, Security, and Ops teams.
• Drive governance and continuous improvement of the platform.

Skills

Azure

GCP

Kubernetes

OpenShift

Terraform

CI/CD

Python

AI/LLM Serving

GPU Infrastructure

API & REST

Security & IAM

Observability

Tools

GKE

AKS

OCP (OpenShift)

Job description

Req ID:
393747

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, We are currently seeking a Senior Cloud & AI Platform Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Profile

Senior Cloud & AI Platform Engineer

Job Summary

We are looking for a highly skilled Senior Cloud & AI Platform Engineer to architect, build, and operate enterprise-scale AI platforms across multi-cloud environments. The ideal candidate will have strong experience in cloud infrastructure, Kubernetes platform engineering, DevSecOps automation, AI/LLM model serving, GPU infrastructure, and platform reliability. This role will focus on delivering secure, scalable, and high-performing AI platforms that support modern AI and GenAI workloads.

Key Responsibilities

• Design, implement, and manage cloud-native AI platforms across Azure and GCP.
• Deploy and administer Kubernetes and OpenShift environments for enterprise AI workloads.
• Develop Infrastructure as Code (IaC) solutions and automate platform provisioning using Terraform and CI/CD pipelines.
• Build and maintain AI/LLM serving infrastructure for production-scale model deployment.
• Optimize GPU infrastructure, resource utilization, and performance for AI workloads.
• Develop automation solutions, APIs, and platform services using Python and REST-based integrations.
• Implement secure authentication, authorization, and API management frameworks.
• Establish observability, monitoring, and reliability standards across AI platforms.
• Collaborate with Data Science, Engineering, Security, and Operations teams to deliver scalable AI solutions.
• Drive platform governance, operational excellence, and continuous improvement initiatives.

Primary Skills

• 1. Cloud Platforms (Azure, GCP)
• 2. Kubernetes & OpenShift (GKE, AKS, OCP)
• 3. Infrastructure as Code & DevSecOps (Terraform, CI/CD)
• 4. Python & API Engineering (REST, SDKs, Automation)
• 5. AI/LLM Platform Engineering & Model Serving (vLLM, Triton, TGI)
• 6. GPU Infrastructure & Performance Optimization
• 7. Identity, Security & API Gateway Integration (OAuth2, Service Accounts)
• 8. Observability & Reliability Engineering (OpenTelemetry, Grafana, Arize)

Secondary Skills

• 1. Agentic AI & MCP Architectures
• 2. LiteLLM and Model Routing Frameworks
• 3. NVIDIA AI Ecosystem (NIM, NeMo, DGX, SuperPOD)
• 4. Vector Databases & RAG Solutions
• 5. Enterprise Networking & Cloud Connectivity
• 6. AI FinOps & Capacity Management
• 7. Distributed Systems & Scalability Engineering
• 8. AI Platform Productization & Operational Excellence

About NTT DATANTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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