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GCP Platform Engineer - Operations - Charlotte, NC or Addison, TX

AT NTT DATA Services
NTT DATA Services

GCP Platform Engineer - Operations - Charlotte, NC or Addison, TX

Charlotte, NC

Req ID: 298416

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.

We are currently seeking a GCP Platform Engineer - Operations - Charlotte, NC or Addison, TX to join our team in Charlotte, North Carolina (US-NC), United States (US).

NTT Data Americas is Hiring!

This is a permanent, fulltime, salaried position with benefits. Not open to C2C or C2H.

Job Duties and Responsibilities Include:

  • Lead complex technology Cloud initiatives, including those that are companywide, with broad impact
  • Act as a key contributor in automating the provisioning of Cloud Infrastructure using Infrastructure as Code (IaC)
  • Make decisions in developing standards and best practices for engineering and large-scale technology solutions
  • Design, optimize, and document the engineering aspects of the Cloud platform
  • Lead and share understanding of industry best practices and how new technologies influence the Cloud technology team to meet deliverables and drive new initiatives
  • Review and analyze complex, large-scale technology solutions in Cloud for strategic business objectives and solving technical challenges that require in-depth evaluation of multiple parameters, including intangibles or unprecedented technical factors
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Build and enable Cloud infrastructure, automate the orchestration for GCP for Enterprise
  • Work in a globally distributed team and provide innovative and robust Cloud centric solutions
  • Closely work with Product Team and vendors to develop and deploy Cloud services to meet customer expectations
  • Collaborate with architects, developers, and operations teams to ensure seamless integration and delivery of cloud-based systems

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Basic, Required Qualifications:
  • Minimum five years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Minimum three years working with Google Cloud Platform (GCP) and a proven track record of building complex infrastructure programmatically with Infrastructure as Code (IaC) tools
  • Minimum two years of hands-on experience with IaC tools Terraform and GitHub


Other Desired Qualifications:
  • Strong understanding of GCP networking services, such as Virtual Private Cloud (VPC), Cloud Virtual Private Network (VPN), Cloud Interconnect, Virtual Network (Vnet) and Cloud Load Balancing
  • Knowledge and understanding of Cloud service offerings such as Data, Analytics, AI/ML on GCP
  • Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, Document AI, Agent Builder, DataProc, Data Catalog, Notebook
  • In-depth knowledge of network protocols, security, and compliance standards
  • Experience with scripting and automation tools for network provisioning and configuration
  • Knowledge and understanding of Cloud service offerings on Security, Data Protection and Security policy implementations
  • Basic understanding of Cloud computing concepts like landing zone and Blueprints
  • Proficient on container-based solution services, have handled 2-3 large scale Kubernetes based infrastructure build out, provisioning of services in Azure or GCP
  • Experience in scripting (Shell, Python)
  • Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, AD, authentication methods, RBAC
  • Cloud certification on GCP
  • Exposure to Cloud governance and logging/monitoring tools
  • Experience with Agile, CI/CD, DevOps concepts and Site Reliability Engineer (SRE) principles
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to articulate technical solutions to both technical and business audiences
  • Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure
  • Delivery focus and willingness to work in a fast-paced, enterprise environment


About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

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Nearest Major Market: Charlotte
Job Segment: Cloud, Database, Consulting, Technology

Client-provided location(s): Charlotte, NC, USA
Job ID: NTT_DATA-298416
Employment Type: Full Time