Cloud Infrastructure & AI Security Engineer
Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 5, 2026. NTT scores B on the Alion truth index.
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it’s a place where you can grow, belong and thrive.
Your day at NTT DATA
AI Enablement - Secure Cloud Platform Delivery
Build, secure and operate cloud infrastructure for AI-enabled applications. Combine hands-on Cloud Infra, SysOps/SecOps and AI Security engineering with application, AI, data and cybersecurity teams.
Own platform deployment, infrastructure automation, technical security controls and day-to-day operations.
Key Responsibilities:
- Deploy and operate dev/test/production environments on AWS, Azure or GCP using approved network, compute, storage, IAM and secrets patterns.
- Maintain across platform Linux, Windows, containers, cloud networking, DNS/TLS, private connectivity, load balancing, backup/restore and service monitoring.
- Build repeatable infrastructure and releases with Git, and Terraform or equivalent IaC/configuration automation.
- Implement least privilege, workload identities, secrets management, encryption, segmentation, audit logging and secure administrative access.
- Apply AI Security controls to AI services and infrastructure: secured model/API endpoints, prompt and response logging boundaries, data access controls, secret isolation, rate limits and abuse monitoring.
- Support remediation for container images, cloud posture findings, vulnerable packages, exposed services and excessive permissions.
- Triage infrastructure and security incidents using logs, metrics, cloud audit trails and SIEM data; coordinate containment, recovery and root-cause actions.
- Maintain runbooks, architecture/configuration records, access records, incident findings and operational handover.
WORKING SCOPE
- AI model behavior, enterprise data architecture, compliance interpretation, security policy ownership and formal incident classification remain with assigned technical owners.
PREFERRED EXPOSURE
- Kubernetes/AKS/EKS/GKE and container registry security.
- Exposure to enterprise AI governance, security, compliance, guardrails, and AI risk management tools and platforms.
- Defender for Cloud, Security Hub, NDR/XDR, GuardDuty, Sentinel, Splunk or equivalent.
- Azure AI Foundry/Azure OpenAI, Amazon Bedrock, Vertex AI, AI gateways or self-hosted model endpoints.
- Strong working knowledge of NIST Cybersecurity Framework, relevant NIST SP 800 series, CIS Controls and CIS Benchmarks, ISO/IEC 27001/27002, OWASP Top 10 and OWASP guidance for LLM applications.
- Able to map technical findings to security controls, assess compliance gaps, prioritize remediation actions and produce audit-ready evidence.
Required experience:
1. Production delivery
- MUST HAVE
- 5+ years in cloud infrastructure, platform engineering, DevOps/SRE, SysOps or Cloud Security. Demonstrate a production system personally deployed and supported.
2. One public cloud
- Hands-on AWS, Azure or GCP. Strong Linux, networking, compute, storage, IAM, secrets, monitoring and backup knowledge.
3. Governance & Risk Management
- Knowledge of AI governance, Responsible AI, risk and compliance frameworks (NIST AI RMF, ISO 42001), with exposure to governance controls for enterprise GenAI platforms.
4. Automation
- Git, Docker, Python or Bash/PowerShell and Terraform or equivalent. Explain validation, rollback and environment consistency.
5. Cloud Security & SecOps
- Practical least privilege, secrets, encryption, segmentation, vulnerability remediation, audit logging and incident triage.
6. AI Security depth
- Understand risks around AI endpoints, sensitive prompt/data exposure, insecure plugins/tools, excessive agency, model/API abuse and dependency/supply-chain risk. Implement approved controls without owning model governance.
7. Operational judgement
- Diagnose connectivity, DNS/TLS, IAM and configuration issues from logs/metrics. Verify backup/restore, document fixes and communicate risk clearly.
HIRING FOCUS
- Walk through one production platform, your exact contribution and operating model.
- Describe one incident: signal, root cause, containment, recovery and prevention.
- Explain IaC/scripts, release checks, rollback, monitoring and handover evidence.
- Show how you would secure an AI application path from user/API gateway to model endpoint, data source and operational logs.
Benefits:
- Competitive salary based on agreement.
- Full social insurance coverage based on salary.
- Probation with 100% salary.
- Annual bonuses and regular salary reviews.
- Training sponsorship for professional courses and certification exams.
- Comprehensive healthcare coverage for staff and their families.
- Regular health check-ups.
- 15 days of paid annual leave, plus 1 additional day for every 3 years of service, up to 20 days.
Work Schedule:
- Hybrid working mode.
- Monday to Friday, 08:00 - 12:00 and 13:00 - 17:00.
- Flexible start hours between 7:45 AM and 9:00 AM with manager approval.
Work Locations:
- Hanoi Office: Room 202, 2nd Floor, HITC Building, 239 Xuan Thuy street, Dich Vong Hau ward, Cau Giay District, Hanoi.
- Ho Chi Minh Office: Floor 20/10, Opal Tower, 92 Nguyen Huu Canh Street, Thanh My Tay Ward, Ho Chi Minh City.
Workplace type:
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 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
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