Req ID: 393036

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, apply now.

We are currently seeking a Sys. Integration Sr. Specialist Advisor to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Sys. Integration Sr. Specialist Advisor

Job Description

Senior AI Platform & GPU-as-a-Service (GPUaaS) Engineer

The Senior AI Platform & GPU-as-a-Service (GPUaaS) Engineer is responsible for building, operating, automating, and optimizing the enterprise AI Platform & Acceleration Services (AIPAS) capability supporting Artificial Intelligence (AI), Generative AI (GenAI), Machine Learning (ML), Large Language Models (LLMs), High Performance Computing (HPC), and GPU-enabled workloads.

This role will partner with architecture, infrastructure, security, networking, storage, OpenShift Engineering, and Line of Business teams to deliver a production-ready GPU platform that enables scalable and secure AI adoption across the enterprise.

The engineer will support functions ranging from platform engineering, customer onboarding, GPU workload enablement, operational readiness, observability, capacity management, automation, self-service capabilities, and service optimization. The role requires a combination of platform engineering expertise, operational experience, automation skills, and customer engagement capabilities.

The ideal candidate is comfortable operating across infrastructure, platforms, AI workloads, automation, and operations while helping transform GPU infrastructure into an enterprise GPU-as-a-Service offering.

Job Requirements

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline (or equivalent experience).

Experience

Required

5+ years of Platform Engineering, Infrastructure Engineering, Cloud Engineering, Site Reliability Engineering (SRE), or related experience
3+ years of Kubernetes and/or OpenShift experience
Experience operating and supporting enterprise production platforms
Experience automating infrastructure and platform services
Experience supporting highly available and distributed systems
Familiarity with Machine Learning
Familiarity with Large Language Models in both Inferencing and Fine Tuning scenarios
Experience working across multiple technology teams, including infrastructure, security, application, and operations teams
Experience with NVIDIA GPU infrastructure

Preferred

7+ years of enterprise engineering experience
Experience with OpenShift AI platforms
Experience with Python, CUDA and Golang
Experience in highly regulated enterprise environments (Financial Services preferred)
Experience implementing self-service platform capabilities
Experience building operational and executive reporting solutions

Core Competencies

Strong troubleshooting and analytical skills
Customer-focused mindset
Strong verbal and written communication skills
Ability to translate business requirements into technical solutions
Ability to work independently and lead technical initiatives
Strong collaboration and stakeholder management skills
Automation-first mindset
Continuous improvement and operational excellence focus

Skill Set

Must-Have Skills

Platform Engineering

Red Hat OpenShift (OCP)
Kubernetes administration and operations
Linux administration
Enterprise compute, storage, and networking
Container platform management
Production platform operations

Automation & DevOps

Ansible
Terraform
Infrastructure-as-Code (IaC)
Git/GitHub
CI/CD pipelines
Python and/or Bash scripting

Operations & Reliability

Production support
Monitoring and alerting
Incident, Problem, and Change Management
Root Cause Analysis (RCA)
Disaster Recovery concepts
Runbook development

Observability & Capacity Management

Prometheus
Grafana
Splunk or equivalent monitoring platforms
Capacity planning and forecasting
Utilization reporting
Dashboard development
SLA/SLO reporting

Security & Governance

RBAC and IAM
Kubernetes/OpenShift security
Secrets management
Vulnerability management
Security and compliance controls
Enterprise governance processes

Customer Enablement

Customer onboarding
Technical discovery and requirements gathering
Technical documentation
Cross-functional collaboration
Customer-facing engineering support

Should-Have Skills

AI & GPU Platforms

OpenShift AI
NVIDIA GPU technologies
GPU workload onboarding
AI/ML platform operations
LLM and GenAI environments
Model training and inference platforms
GPU sizing and capacity planning

Advanced Automation

GitOps (ArgoCD)
API integration
Workflow automation
Self-service platform development
ServiceNow integration

Enterprise Integration

Active Directory integration
Enterprise networking
Enterprise storage platforms
Certificate management
GitHub Enterprise
ServiceNow
Confluence

Reporting & Analytics

Executive dashboards
Capacity analytics
Consumption reporting
Service health reporting
Operational KPI reporting

Nice-to-Have Skills

NVIDIA & Accelerated Computing

Nvidia Enterprise-Class GPU Experience
NVIDIA AI Enterprise
NVIDIA GPU Operator
CUDA
NCCL
TensorRT
NVIDIA DCGM

HPC & Large-Scale GPU Environments

NVIDIA SuperPod experience
HPC platforms
Multi-cluster GPU environments
Distributed training environments
GPU fabric technologies

AI/ML Engineering

MLOps
Kubeflow
KServe
JupyterHub
Model registries
Deep Learning frameworks

Platform Optimization

GPU performance tuning
GPU utilization optimization
MIG (Multi-Instance GPU)
Multi-tenant GPU architectures
Cost optimization

Product & Service Management

Service catalog development
Platform product ownership
Customer experience management
Adoption analytics
Roadmap planning
Chargeback/showback models

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 recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form,

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Sys. Integration Sr. Specialist Advisor

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