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NewNTT Corporation

AI Orchestration / Platform Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a AI Orchestration / Platform Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Role purpose: Build and operate the orchestration and runtime capabilities that allow agentic applications to move reliably from development into production. Requirements: 8+ years of platform, DevOps, SRE, cloud, distributed-systems, or software-engineering experience. Production experience supporting AI/ML, LLM, agentic, workflow, or high-scale distributed application platforms. Strong experience with containers, Kubernetes or equivalent runtimes, CI/CD, infrastructure as code, configuration, secrets, and automated deployment.

NTT Corporation Hyderabad, Pakistan, Pakistan Apply by 12/11/2026

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2450

Duration

Permanent

Focus areas

KubernetesCI/CDPythonGoOpenTelemetryLLMOpsContainers

People Also Ask (FAQs)

What is the last date to apply for AI Orchestration / Platform Engineer?

The official closing date is 2026-12-11. Apply early to avoid the last-day portal rush.

How do I apply for AI Orchestration / Platform Engineer?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the NTT Corporation test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the AI Orchestration / Platform Engineer test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Kubernetes, CI/CD, Python, Go, OpenTelemetry, LLMOps, Containers.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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