Senior Cloud Engineer - Multi-Cloud (GCP. AWS, and Azure)

NTT Data, Inc.

$125K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 5-10 years experience in multi-cloud environments using AWS, GCP, and Azure
  • Advanced skills in Terraform for infrastructure provisioning
  • Strong expertise in Kubernetes (EKS, GKE) and container orchestration
  • In-depth knowledge of IAM principles and least-privilege models
  • Experience with cloud networking concepts such as VPCs and hybrid connectivity
  • Familiarity with policy management frameworks and compliance controls
  • Certifications in AWS, GCP, or Kubernetes preferred

Responsibilities

  • Architect and implement scalable, resilient cloud solutions across GCP and AWS
  • Lead Terraform-based infrastructure automation and CI/CD integration
  • Engineer and manage Kubernetes environments with best practices
  • Design IAM strategies for secure access and resource governance
  • Develop cloud networking solutions ensuring secure connectivity
  • Implement policy management frameworks for governance and compliance
  • Mentor junior engineers and provide leadership in cloud initiatives

Benefits

  • Opportunities for professional growth and development
  • Flexible work environment with remote work options
  • Access to the latest cloud technologies and tools
  • Collaborative team culture promoting knowledge sharing
  • Comprehensive health and wellness benefits
Full Job Description
Req ID: 383020
Job Description:
Job Title: Senior Cloud Engineer - Multi-Cloud (GCP. AWS, and Azure)
Department: IT Infrastructure & Cloud Platforms

Position Summary
We are seeking a Senior Cloud Engineer to architect design, build, and operate a secure, scalable, and highly automated multi-cloud platform leveraging Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. As a key technical leader, you will drive the evolution of our multi-cloud engineering, enabling resilient, cloud-native services that support mission-critical enterprise workloads.
This role requires deep expertise in cloud architecture, infrastructure as code (IaC), and distributed systems engineering, with a strong focus on Terraform-driven automation and platform standardization. The ideal candidate brings strong Kubernetes, IAM, networking, and policy management experience, along with a disciplined approach to security, reliability, and cost optimization.

Key Responsibilities
Platform Engineering, Design & Architecture
Architect, engineer, and implement scalable, secure, and resilient cloud solutions across GCP and AWS, with Azure as a plus. Engineer multi-region, highly available architectures aligned with enterprise standards and best practices.

Infrastructure Automation & IaC
Lead engineering, adoption, and development of Terraform-based infrastructure as code, ensuring consistency, compliance, and reusability. Build and maintain modular Terraform frameworks for provisioning cloud infrastructure. Integrate IaC into CI/CD pipelines to enable fully automated provisioning and deployment workflows.

Containerization & Kubernetes Platforms
Direct knowledge and engineering leveraging Kubernetes platforms (EKS, GKE) and associated ecosystems. Implementation of container orchestration best practices including scaling, observability, and security.
Identity, Access & Security Governance
Experienced working knowledge architecting and designing robust IAM strategies across GCP and AWS including least-privilege access models. Implement policy frameworks for access control, resource governance, and regulatory compliance.

Networking & Connectivity
Direct knowledge and experience architecting, designing, and engineering cloud networking solutions including VPC/VNet design, routing, peering, VPNs, and private connectivity. Ensure secure, high-performance connectivity between cloud environments and on-premises systems.

Policy Management & Governance
Deep understanding of policy management, policy-as-code frameworks to ensure consistent governance of resources, tagging strategies, and compliance controls. Collaboration with governance, policy, and security teams to ensure cloud environments meet enterprise and regulatory standards.

Modernization & Mentorship
Champion cloud-native and platform engineering best practices across the organization. Drive the evolution of platform engineering practice by incorporating infrastructure-as-code (IaC) principles. 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 & Skills
Cloud Platforms & Architecture
Extensive firsthand experience with AWS and GCP in large-scale enterprise environments.
Strong expertise in cloud architecture, including high availability, disaster recovery, and multi-region design.
Deep understanding of cloud-native services and distributed systems principles.
Infrastructure as Code & Automation
Advanced proficiency in Terraform for infrastructure provisioning and lifecycle management.
Experience designing reusable modules and managing Terraform state at scale.
Familiarity with CI/CD tooling and Git-based workflows.

Kubernetes & Container Platforms
Strong experience with Kubernetes (EKS, GKE) and container ecosystems.
Knowledge of Helm, service meshes, and container security best practices.
Identity & Access Management (IAM)
Deep understanding of IAM concepts in AWS and GCP, including roles, policies, and federation.
Experience implementing RBAC and least-privilege access models at scale.

Networking & Core Infrastructure
Strong knowledge of cloud networking concepts: VPCs, subnets, routing, load balancing, DNS, and hybrid connectivity.
Experience designing secure network architectures across multi-cloud and hybrid environments.
Policy Management & Governance(382993)
Direct experience with policy enforcement frameworks and governance models in AWS and GCP.
Familiarity with policy-as-code tools and compliance automation practices.

Preferred Qualifications
At least 8 to 10 years' experience engineering infrastructure in a multi-cloud environment, experience with modern cloud-native technologies, such as container orchestration platforms (e.g., Red Hat OpenShift, Kubernetes,) and public cloud experiences are an advantage.
Experience operating within highly regulated environments, with a strong grasp of data privacy, compliance frameworks, and disaster recovery architectures.
Certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, or Kubernetes certifications (CKA/CKAD).
Experience with platform engineering, internal developer platforms (IDP), or self-service cloud models.
Exposure to FinOps practices and cloud cost optimization strategies.

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