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NTT Data

Global IT services and consulting provider.

Systems Integration Senior Specialist

Platform EngineeringUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent experience.
  • At least 5 years of Platform Engineering, Infrastructure Engineering, Cloud Engineering, Site Reliability Engineering, or related experience.
  • At least 3 years of Kubernetes and/or OpenShift experience.
  • Experience operating and supporting enterprise production platforms, automating infrastructure and platform services, and supporting highly available and distributed systems.
  • Familiarity with Machine Learning and Large Language Models in inferencing and fine-tuning scenarios.
  • Experience with NVIDIA GPU infrastructure and working across infrastructure, security, application, and operations technology teams.
  • Strong troubleshooting and analytical skills; ability to translate business requirements into technical solutions; ability to work independently and lead technical initiatives; and an automation-first mindset focused on continuous improvement and operational excellence.
  • Skills in Red Hat OpenShift (OCP), Kubernetes administration and operations, Linux administration, enterprise compute, storage and networking, container platform management, and production platform operations.
  • Skills in Ansible, Terraform, Infrastructure-as-Code, Git/GitHub, CI/CD pipelines, and Python and/or Bash scripting.
  • Experience with production support, monitoring and alerting, incident, problem, and change management, root cause analysis, disaster recovery concepts, and runbook development.
  • Experience with Prometheus, Grafana, Splunk or equivalent monitoring platforms, capacity planning and forecasting, utilization reporting, dashboard development, and SLA/SLO reporting.
  • Knowledge of role-based access control and identity and access management, Kubernetes/OpenShift security, secrets management, vulnerability management, security and compliance controls, and enterprise governance processes.
  • Ability to support customer onboarding, technical discovery and requirements gathering, technical documentation, cross-functional collaboration, and customer-facing engineering support.

Responsibilities

  • Build, operate, automate, and optimize the enterprise AI Platform and Acceleration Services capability supporting AI, Generative AI, Machine Learning, Large Language Models, High Performance Computing, and GPU-enabled workloads.
  • Partner with architecture, infrastructure, security, networking, storage, OpenShift Engineering, and Line of Business teams to deliver a production-ready GPU platform for scalable and secure enterprise AI adoption.
  • Support platform engineering, customer onboarding, GPU workload enablement, operational readiness, observability, capacity management, automation, self-service capabilities, and service optimization.
  • Transform GPU infrastructure into an enterprise GPU-as-a-Service offering.

Desired Qualifications

  • At least 7 years of enterprise engineering experience.
  • Experience with OpenShift AI platforms, Python, CUDA, and Golang.
  • Experience in highly regulated enterprise environments, preferably Financial Services.
  • Experience implementing self-service platform capabilities and building operational and executive reporting solutions.
  • Experience with OpenShift AI, NVIDIA GPU technologies, GPU workload onboarding, AI/ML platform operations, LLM and GenAI environments, model training and inference platforms, and GPU sizing and capacity planning.
  • Experience with GitOps (ArgoCD), API integration, workflow automation, self-service platform development, and ServiceNow integration.
  • Experience with Active Directory integration, enterprise networking and storage platforms, certificate management, GitHub Enterprise, ServiceNow, and Confluence.
  • Experience developing executive dashboards, capacity analytics, consumption reporting, service health reporting, and operational KPI reporting.
  • Experience with NVIDIA enterprise-class GPU technologies, NVIDIA AI Enterprise, NVIDIA GPU Operator, CUDA, NCCL, TensorRT, and NVIDIA DCGM.
  • Experience with NVIDIA SuperPod, HPC platforms, multi-cluster GPU environments, distributed training environments, and GPU fabric technologies.
  • Experience with MLOps, Kubeflow, KServe, JupyterHub, model registries, and deep learning frameworks.
  • Experience with GPU performance tuning, GPU utilization optimization, Multi-Instance GPU (MIG), multi-tenant GPU architectures, and cost optimization.
  • Experience with service catalog development, platform product ownership, customer experience management, adoption analytics, roadmap planning, and chargeback/showback models.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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