CS Cloud Engineer
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026. NTT scores B on the Alion truth index.
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Your day at NTT DATA
The Cloud Engineer is responsible for the design, implementation, migration, configuration, and delivery of public cloud infrastructure and services, with a primary focus on Microsoft Azure.
The role works closely with clients, architects, project teams, security teams, and operations teams to deliver secure, scalable, resilient, and well-governed cloud solutions.
Experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP) is advantageous.
The Cloud Engineer is expected to take technical ownership of assigned cloud technologies, contribute to solution design, troubleshoot complex technical issues, produce technical documentation, and provide guidance to junior engineers.
Key Responsibilities:
- Engage with clients to gather requirements and deliver public cloud solutions.
- Implement, configure and support Microsoft Azure infrastructure and platform services.
- Support cloud migration, hybrid connectivity and workload transition activities.
- Implement cloud networking, identity, security, governance and monitoring solutions.
- Build and maintain cloud infrastructure using Infrastructure as Code, preferably Terraform or Bicep.
- Develop automation using PowerShell, Azure CLI or similar tools.
- Support CI/CD pipelines and Git-based infrastructure deployments.
- Utilize AI-assisted tools to improve implementation efficiency, troubleshooting, documentation and automation.
- Apply AI capabilities to support tasks such as code generation, configuration validation, log analysis, incident investigation and technical knowledge retrieval.
- Evaluate and adopt appropriate AI-driven capabilities within cloud delivery while ensuring security, compliance and data protection requirements are followed.
- Troubleshoot complex cloud infrastructure, connectivity, identity and security issues.
- Contribute technical input to cloud solution design and implementation planning.
- Produce and maintain technical documentation, including implementation plans, runbooks and as-built documents.
- Conduct technical handover and knowledge transfer to clients and support teams.
- Provide guidance and mentoring to junior engineers.
- Take ownership of assigned cloud technologies and maintain relevant technical skills.
- Support AWS and GCP environments where required.
Knowledge and Attributes:
- Strong understanding of Microsoft Azure infrastructure and cloud architecture principles.
- Good knowledge of cloud networking, identity, security and governance.
- Good understanding of Infrastructure as Code, automation and DevOps practices.
- Knowledge of hybrid cloud and enterprise cloud environments.
- Understanding of how AI and generative AI tools can be applied safely and effectively within cloud engineering and delivery activities.
- Ability to use AI-assisted tools to improve productivity, problem solving, automation and technical documentation.
- Awareness of AI-related security, privacy, governance and responsible usage considerations.
- Strong troubleshooting and analytical skills.
- Good technical documentation and report-writing skills.
- Excellent customer engagement and communication skills.
- Client-focused with a proactive approach to problem solving.
- Ability to work independently and within project teams.
- Ability to work under pressure and meet project deadlines.
- Ability to coach and provide technical guidance to junior team members.
- AWS and GCP knowledge is advantageous.
Academic Qualification and Certifications:
- Bachelor's degree, diploma or equivalent qualification in Information Technology, Computer Science, Engineering or a related field.
- Relevant Microsoft Azure certification is preferred, such as:
- Azure Administrator Associate
- Azure Solutions Architect Expert
- Azure Network Engineer Associate
- Azure Security Engineer Associate
- Azure DevOps Engineer Expert
- Terraform certification or relevant Infrastructure as Code experience is advantageous.
- Microsoft Azure AI Fundamentals, Azure AI Engineer or other relevant AI/cloud certifications are advantageous.
- AWS or Google Cloud certifications are advantageous.
- Additional certifications in networking, security, Kubernetes, DevOps or ITIL are advantageous.
- Certifications relevant to the services delivered will carry additional weight.
Required experience:
- Seasoned hands-on experience implementing and delivering Microsoft Azure solutions.
- Experience with Azure compute, networking, storage, identity, security, monitoring and governance services.
- Experience with cloud migration and hybrid cloud environments.
- Experience with Infrastructure as Code, preferably Terraform, Bicep or ARM templates.
- Experience with automation using PowerShell, Azure CLI or similar scripting tools.
- Experience with Git and CI/CD pipelines for infrastructure deployment.
- Experience using AI-assisted engineering tools to support cloud implementation, troubleshooting, automation, scripting or documentation is advantageous.
- Experience applying AI tools to improve delivery productivity, technical analysis or operational efficiency is advantageous.
- Experience troubleshooting cloud infrastructure and networking issues.
- Experience producing technical implementation and operational documentation.
- Experience engaging with clients and participating in technical workshops or project activities.
- Experience working within structured implementation or project delivery environments.
- AWS and/or GCP implementation experience is advantageous.
- Experience with Kubernetes, cloud security, FinOps, AI services or multi-cloud environments is advantageous.
Workplace type:
Hybrid WorkingAbout 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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