Senior Cloud and AI Platform Engineer

NTT DATA Global Delivery Services Ltd; Bengaluru; Hybrid; INR 3,500,000 - 6,500,000; Full time

Job summary

NTT DATA Global Delivery Services Ltd seeks a Senior Cloud & AI Platform Engineer to architect, build, and operate enterprise-scale AI platforms across multi-cloud environments. You will lead Kubernetes/OpenShift deployments, IaC, and automated pipelines to enable secure, scalable AI workloads.

The role emphasizes GPU optimization, AI/LLM serving, and observability, with collaboration across Data Science, Engineering, Security, and Operations teams to drive reliability and governance.

Qualifications

• Strong experience designing and operating cloud-native AI platforms across multi-cloud environments.
• Proficient in Kubernetes/OpenShift and platform engineering practices.
• Hands-on with IaC tooling (Terraform) and automated CI/CD pipelines.

Responsibilities

• Design, implement, and manage cloud-native AI platforms across Azure and GCP.
• Deploy and administer Kubernetes/OpenShift environments for enterprise AI workloads.
• Develop IaC solutions and automate provisioning using Terraform and CI/CD pipelines.
• Build AI/LLM serving infrastructure for production model deployments.
• Optimize GPU infrastructure and performance for AI workloads.
• Develop automation, APIs, and platform services using Python and REST.

Skills

Azure

GCP

Kubernetes

OpenShift

Terraform

CI/CD

Python API

AI/LLM platform eng

Education

Bachelor's or higher in CS/CE or related

Tools

Terraform

CI/CD pipelines

OpenShift

Python REST APIs

vLLM/Triton/TGI

Job description

Senior Cloud & AI Platform Engineer

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,

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 DATA

NTT 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. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Experience Level Senior Level