Join NTT DATA as a Systems Integration Specialist Advisor, focusing on our Cloud AI/ML Platform. We are looking for innovative individuals to contribute to our adaptable and forward-thinking organization.

This senior role involves architecting, designing, building, and operating secure, scalable, and highly automated multi-cloud platforms across Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. You will be a key technical leader driving the evolution of our multi-cloud engineering practices to support critical enterprise workloads with resilient, cloud-native services.

Deep expertise in cloud architecture, infrastructure as code (IaC), and distributed systems engineering, with a strong emphasis on Terraform automation and platform standardization, is essential. The ideal candidate possesses robust experience in Kubernetes, IAM, networking, and policy management, coupled with a disciplined approach to security, reliability, and cost optimization.

Key responsibilities include architecting and implementing scalable, secure, and resilient cloud solutions across GCP and AWS, with Azure as a beneficial addition. You will engineer multi-region, highly available architectures aligned with enterprise standards.

Lead the engineering and adoption of Terraform-based infrastructure as code, ensuring consistency, compliance, and reusability, and integrating IaC into CI/CD pipelines for automated provisioning. Direct expertise in Kubernetes platforms (EKS, GKE) and their ecosystems, including best practices for scaling, observability, and security, is expected.

Architect robust IAM strategies across GCP and AWS, focusing on least-privilege access models. Implement policy frameworks for access control, resource governance, and regulatory compliance. Design and engineer cloud networking solutions, ensuring secure, high-performance connectivity between cloud and on-premises systems.

Champion cloud-native and platform engineering best practices, mentor junior engineers, and provide technical leadership for complex cloud initiatives. Serve as an escalation point for critical cloud infrastructure and platform issues.

Required qualifications include extensive firsthand experience with AWS and GCP in large-scale enterprise environments, and strong expertise in cloud architecture, including high availability, disaster recovery, and multi-region design.

Advanced proficiency in Terraform for infrastructure provisioning and lifecycle management is crucial, alongside experience designing reusable modules and managing Terraform state at scale. Familiarity with CI/CD tooling and Git-based workflows is also important.

Demonstrate strong experience with Kubernetes (EKS, GKE) and container ecosystems, including knowledge of Helm, service meshes, and container security best practices. Deep understanding of IAM concepts in AWS and GCP, including roles, policies, and federation, and experience implementing RBAC and least-privilege access models are necessary.

Solid knowledge of cloud networking concepts such as VPCs, subnets, routing, load balancing, DNS, and hybrid connectivity is required. Direct experience with policy enforcement frameworks and governance models in AWS and GCP, and familiarity with policy-as-code tools, are preferred.