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Cloud & Platform Engineer

NTT DATA Americas, IncIrving, TX🇺🇸United States

Quick overview

Salary$55 - $70/hr
SeniorityMid Senior
Work modeHybrid
LocationIrving, TX, United States
DockerGitAWSEncryptionCloudFormationDatadogGitHub ActionsGitLab CIGoogle CloudJenkinsPenetration TestingTerraformRESTKubernetesCI/CDIAM

Job description

About the Company

Req ID: 396459

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

Employment Requirements: NO STEM OPT. MUST WORK DIRECT W2.

NTT DATA's Client is currently seeking a Cloud & Platform Engineer to join their team in Irving, Texas (US-TX), United States (US).

Job Description – Senior Platform Security Engineer – AI-Powered Penetration Testing Platform

Responsibilities

  • Lead the end-to-end engineering, build, configuration, integration, certification, deployment, and operationalization of a third-party AI-powered penetration testing platform within the enterprise environment.
  • Provision and configure required infrastructure, platform components, security controls, connectivity, and supporting services across cloud and on-premises environments.
  • Own the technical certification process for the platform, including security assessments, architecture reviews, vendor validation, compliance reviews, and internal technology-risk approvals.
  • Develop and maintain platform architecture diagrams, build documentation, configuration standards, operational runbooks, and certification evidence.
  • Serve as the primary technical and engineering interface with third-party vendors throughout platform implementation, certification, upgrades, and ongoing operations.
  • Design and implement integrations between the penetration testing platform and enterprise security technologies, including SIEM, SOAR, vulnerability-management, ticketing, and reporting platforms.
  • Develop REST APIs, webhooks, event-driven connectors, and data integrations to automate findings ingestion, alert routing, remediation workflows, and downstream security processes.
  • Ensure platform integrations comply with enterprise security, networking, architecture, and data-governance standards.
  • Provision and manage cloud-native infrastructure across AWS and/or Google Cloud Platform, including compute, networking, storage, containers, IAM, and related services.
  • Develop and maintain Infrastructure-as-Code using Terraform, CloudFormation, or equivalent technologies to enable repeatable, controlled, and auditable infrastructure deployment.
  • Design and maintain CI/CD pipelines for platform deployment, component updates, configuration management, and drift detection.
  • Deploy and manage containerized platform components using Docker and Kubernetes environments such as Amazon EKS and Google Kubernetes Engine (GKE).
  • Design and enforce network segmentation, private connectivity, firewall controls, and least-privilege IAM across platform components.
  • Manage hybrid platform architecture spanning cloud-hosted and on-premises or co-location environments.
  • Provide ongoing operational management of the platform, including health monitoring, patching, capacity management, incident response, upgrades, and configuration changes.
  • Develop and maintain operational runbooks, alerting frameworks, Service Level Agreements (SLAs), and Service Level Objectives (SLOs).
  • Coordinate platform upgrades, vendor releases, patches, and configuration changes through established change-management processes.
  • Implement and maintain backup, recovery, resiliency, and business-continuity capabilities for platform components.
  • Collaborate with Red Team, Offensive Security, Vulnerability Management, and other security stakeholders to configure and optimize AI-powered penetration testing capabilities.
  • Manage platform scope configuration, target onboarding, testing policies, and governance to support safe and compliant penetration testing activities.
  • Support findings triage, deduplication, prioritization, and integration into vulnerability-management and remediation workflows.
  • Ensure platform components meet enterprise security standards for encryption, secrets management, audit logging, authentication, authorization, and access control.
  • Support technology-risk assessments, security reviews, compliance reviews, and internal or external audits related to the platform.
  • Maintain platform security and operational risk registers and coordinate remediation and escalation of identified risks.
  • Monitor platform health and performance using observability technologies such as Datadog, Amazon CloudWatch, Google Cloud Monitoring, or equivalent tools.

Requirements

  • Minimum 7+ years of overall experience in Platform Engineering, Cloud Infrastructure Engineering, Security Engineering, or a related technical discipline.
  • Minimum 7+ years of Experience delivering, integrating, and operating complex third-party, vendor-hosted, or hybrid enterprise platforms.
  • Minimum 7+ years of Deep hands-on cloud engineering experience with AWS and/or Google Cloud Platform.
  • Minimum 7+ years of Experience with cloud infrastructure technologies including compute services such as EC2 E, networking, storage, IAM, and containerized workloads.
  • Minimum 7+ years of Experience with cloud networking technologies and patterns including VPCs, PrivateLink or equivalent private connectivity, VPNs, routing, and firewalls.
  • Minimum 7+ years of Strong experience with Infrastructure-as-Code technologies such as Terraform, CloudFormation, or equivalent enterprise provisioning tools.
  • Minimum 7+ years of Experience designing and implementing CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or equivalent technologies.
  • Minimum 7+ years of Strong experience with Docker and Kubernetes, including cloud-managed Kubernetes platforms such as EKS and/or GKE.
  • Minimum 7+ years of Experience managing the complete lifecycle of third-party technology platforms, including build, certification, integration, deployment, upgrades, and ongoing operations.
  • Minimum 7+ years of Experience working with enterprise technology-risk, platform-certification, security-review, and vendor-management processes.
  • Minimum 7+ years of Strong understanding of hybrid architectures combining cloud-hosted and on-premises infrastructure.
  • Minimum 7+ years of Experience managing connectivity, data flows, dependencies, and operational requirements across hybrid cloud and on-premises environments.
  • Minimum 7+ years of Experience designing and developing APIs, REST integrations, webhooks, and event-driven connectors.
  • Minimum 7+ years of Experience integrating enterprise platforms with SIEM, SOAR, vulnerability-management, ticketing, and security-reporting systems.
  • Minimum 7+ years of Experience with data ingestion, transformation, and workflow-automation patterns supporting security operations.
  • Working knowledge of penetration testing methodologies, vulnerability management, offensive security operations, and remediation workflows.
  • Understanding of enterprise security controls, network segmentation, least-privilege access, IAM, encryption, secrets management, and audit logging.
  • Minimum 7+ years of Experience configuring and operating security platforms within controlled enterprise production environments.
  • Strong platform operations experience, including monitoring, alerting, incident response, patch management, capacity management, and production support.
  • Minimum 7+ years of Experience with observability and monitoring technologies such as Datadog, CloudWatch, Google Cloud Monitoring, or equivalent platforms.
  • Minimum 7+ years of Experience developing operational documentation, architecture diagrams, implementation procedures, runbooks, and technical standards.
  • Strong analytical, troubleshooting, problem-solving, communication, and stakeholder-management skills.
  • Ability to collaborate effectively with Cloud Engineering, Infrastructure, Cybersecurity, Red Team, Vulnerability Management, Architecture, Risk, Compliance, and vendor teams.

Education

Bachelor's degree in Computer Science, Information Security, Cloud Engineering, or a related technical field, or equivalent professional experience.

Preferred Skills

  • Experience implementing or operating AI-powered penetration testing or automated offensive-security

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