NTT Data Recruitment Drive; Hiring DevOps Engineer – Apply Now

DevOps Engineer Job Openings in Noida, Chennai, Bengaluru & Pune 2026!!!

NTT Data announced job vacancy for the post of AI/ML DevOps Engineer. The place of posting will be at Noida, Chennai, Bengaluru & Pune. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	NTT Data
Required Qualifications	Graduate
Skills	Azure OpenAI/AI Studio, Azure ML, Cognitive Search, Key Vault, Storage, networking, etc..,
Category	Technology
Work Type	Onsite

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with them. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. They are currently seeking a AI/ML DevOps Engineer to join their team in Noida, Chennai, Bengaluru, Pune, Uttar Pradesh (IN-UP), India (IN).

Job Details

Θ Positions: AI/ML DevOps Engineer

Θ Job Location: Noida, Chennai, Bengaluru & Pune

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 354057

Roles and Responsibilities:

• Hands-on engineer responsible for designing, building, and maintaining Infrastructure-as‑Code (IaC) templates with Terraform to provision and operate Azure AI/ML services for multiple application teams. The role blends engineering (Terraform, pipelines, AKS, security) with coordination (Kanban flow, cross-team alignment, risk/issue tracking) to accelerate safe, repeatable deployments of AI workloads for onboarding application teams to the bank's AI Platform (Azure).
• Engineer IaC modules and reusable templates (Terraform) to provision Azure resources for AI/ML (e.g., Azure OpenAI/AI Studio, Azure ML, Cognitive Search, Key Vault, Storage, networking).
• Automate pipelines (Azure DevOps/GitHub Actions) for plan/apply, policy checks, and environment promotion; integrate secrets, approvals, and drift detection.
• Stand up access & identity using Microsoft Entra ID patterns (app registrations, groups/roles, RBAC) for app teams and automation. (Explicit request to “understand security around Entra IDs.”)
• Support AKS-based deployments and platform integrations (ingress, images, namespaces, quotas) for AI services that land on Kubernetes.
• Harden & govern: embed guardrails (Azure Policy, role assignments, private endpoints), tagging/FinOps, logging/monitoring baselines. Scripting with Python or Bash for IaC tooling and deployment helpers. Experience codifying policies/controls (OPA/Conftest, Azure Policy as Code) and cost governance tags.

Minimum Skills Required:

• Engineer IaC modules and reusable templates (Terraform) to provision Azure resources for AI/ML (e.g., Azure OpenAI/AI Studio, Azure ML, Cognitive Search, Key Vault, Storage, networking).

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