GCP Architect
Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Jul 24, 2026. Capgemini scores B on the Alion truth index.
Capgemini
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
- Strong expertise in Google Cloud Platform (GCP)
- Kubernetes (GKE), Docker, and Containerization
- Terraform and Infrastructure as Code (IaC)
- Cloud Networking and Security
- CI/CD and DevOps practices
- Data & Analytics platforms (BigQuery, Dataflow, Pub/Sub)
- AI/ML solutions using Vertex AI/Gemini Enterprise
- Experience with cloud migration and modernization programs
- Google Cloud Professional Cloud Architect (Mandatory/Highly Preferred)
- Professional Cloud Security Engineer
- Professional Data Engineer
- Professional DevOps Engineer
- Desired Qualities
- Strong leadership and stakeholder management skills
- Excellent communication and consulting experience
- Experience working with enterprise customers
- Ability to drive innovation and build cloud capabilities
- Strong problem-solving and strategic thinking skills
Your Profile
- Design scalable, secure, and high-performing solutions on Google Cloud Platform.
- Lead cloud migration and modernization projects.
- Define enterprise cloud architecture, standards, and best practices.
- Architect solutions using GCP services such as GKE, Compute Engine, Cloud Run, BigQuery, Cloud SQL, Pub/Sub, and Vertex AI.
- Implement cloud security, governance, and compliance frameworks.
- Drive DevOps, CI/CD, Infrastructure-as-Code (Terraform), and automation initiatives.
- Support data, analytics, AI/ML, and Generative AI solutions on GCP.
- Conduct architecture reviews and provide technical leadership.
- Collaborate with clients, business stakeholders, and delivery teams.
- Mentor cloud engineers and contribute to the growth of the Google COE.
- Support pre-sales activities, solution design, and proposal development.
What you’ll love
Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges.
Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship.
Own your growth: Open access to digital learning platforms
About Capgemini
Capgemini (Footer)
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of
over 420,000 team members in more than 50 countries. We deliver end-toend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome
and will be considered based on merit against the job and/or experience for the position.
Job Description
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.
Job Description - Grade Specific
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.