Join NTT DATA as a Systems Integration Senior Specialist focusing on Cloud AI/ML Platforms. This role offers an exciting opportunity to architect, design, and operate a secure, scalable, and highly automated multi-cloud platform across GCP, AWS, and Azure. You will be a key technical leader, driving the evolution of our multi-cloud engineering capabilities to support mission-critical enterprise workloads with resilient, cloud-native services.

This position demands deep expertise in cloud architecture, infrastructure as code (IaC) with a strong emphasis on Terraform, and distributed systems engineering. A proactive approach to security, reliability, and cost optimization, combined with robust experience in Kubernetes, IAM, networking, and policy management, is essential.

Architect and implement resilient, secure, and scalable cloud solutions, primarily on GCP and AWS, with Azure as a secondary focus. Drive the adoption and development of Terraform-based Infrastructure as Code (IaC) for consistent provisioning and compliance. Lead engineering efforts for Kubernetes platforms (EKS, GKE), focusing on best practices for scaling, observability, and security. Design and implement robust Identity and Access Management (IAM) strategies and policy frameworks for GCP and AWS. Engineer secure, high-performance cloud networking solutions, ensuring seamless connectivity between cloud environments and on-premises systems. Champion cloud-native principles and mentor junior engineers on complex cloud initiatives.

Extensive hands-on experience with AWS and GCP in enterprise environments, including high availability, disaster recovery, and multi-region designs. Advanced proficiency in Terraform for infrastructure lifecycle management and experience designing reusable modules. Strong experience with Kubernetes (EKS, GKE) and container ecosystems, including Helm and service meshes. Deep understanding of IAM concepts in AWS and GCP, with experience implementing RBAC and least-privilege access models. Solid knowledge of cloud networking concepts like VPCs, routing, load balancing, and hybrid connectivity. Direct experience with policy enforcement frameworks and governance models in AWS and GCP. A minimum of 8-10 years of engineering infrastructure in a multi-cloud setting is preferred, along with familiarity with CI/CD tooling and Git-based workflows.