14151695 - WF DSS GCP Data Eng C2 US

North Carolina, US


A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

View company page

Job-Title : GCP Data Engineer 

Job -Location : Charlotte | NC


  •  Lead Cloud Platform Engineer with DevOps skills to handle Cloud Observability and Automation in cloud environments for data migration projects with either Google Azure Pivotal Cloud Foundry experience Serve as a SME for high visibility cloud computing initiatives and hybrid environments 
  •  Develop document and communicate solution design for large complex technology initiatives Communicate Influence and implement solution designs and transformation required for public and hybrid cloud adoption across the enterprise while ensuring alignment with architecture security and other key Technology frameworks
  • Make decisions and drive solutions consistent with risk and controls framework Develop and implement cloud based procedures continuous monitoring compliance and cloud asset inventory strategies Leverage agility and scalability of DevOps and automated governance applying secure Infrastructure as Code principles proactively partner to update CI CD pipelines based on trends identified in the environment 
  • Develop document and implement a greenfield framework for cloud optimization demonstrating industry best practices to ensure a secure least privileged model 
  •  Use analytical and problem solving skills to define problems proactively innovate provide credible challenge and translate vision into strategic solutions 
  •  Excellent communication and collaboration skills experience working in client collaborative environment on Data driven projects


  •  5 years of Terraform experience 
  •  Python Java Script 2 yrs PowerShell Linux 2 yrs Strong verbal written influence and interpersonal communication skills
  •  5 years of Software Engineering experience
  •  5 years of experience with Cloud technologies 
  •  3 years of experience with building deploying and securing cloud platforms 
  •  3 years of experience building cloud ready enterprise solutions 
  •  3 years of Kubernetes experience 


  •   3 years of Azure and or Google public cloud experience 
  •  3 years of experience in designing and engineering cloud native solutions 
  •  3 years of experience with secure DevOps and deployment automation to cloud environments 
  •  Experience working with cloud security management or governance tools 
  •  Experience with one or more 
  •  Cloud platforms AWS Google Cloud Platform GCP Azure Pivotal Cloud Foundry PCF or VMware Tanzu App Service TAS 
  •  OpenStack Experience with large scale design installation and configuration of one or more observability tool sets such as Azure Monitor

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being program
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  •  Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  •  Disaster Relief

About Capgemini:

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want | www.capgemini.com (http://www.capgemini.com/#_blank)


Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law (http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law)

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Azure DevOps Engineering GCP Google Cloud Java Kubernetes Linux OpenStack Pipelines Python Security Terraform

Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave

Region: North America
Country: United States
Job stats:  1  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.