GCP Cloud Architect

Capgemini is seeking an experienced GCP Cloud Architect to lead the design, implementation, and optimization of cloud solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep technical expertise in GCP services, have experience with cloud migrations, and be adept at building scalable, secure, and cost-effective cloud architectures tailored to business needs.

Your role

• Develop cloud architecture solutions leveraging GCP services such as Compute Engine, BigQuery, Cloud Storage, Pub/Sub, Cloud SQL, and Kubernetes Engine.

• Translate business and technical requirements into scalable and secure cloud designs.

• Define architecture blueprints, best practices, and cloud standards for deployment.

• Assess existing systems, workloads, and data to determine cloud migration strategies.

• Design migration plans for applications, data, and infrastructure to GCP.

• Optimize resource utilization during migration to ensure minimal downtime and cost efficiency.

• Lead the setup and configuration of GCP environments, including VPCs, IAM policies, firewalls, and hybrid connectivity.

• Implement Infrastructure as Code (IaC) using tools like Terraform, Deployment Manager, or Ansible.

• Collaborate with DevOps teams to streamline CI/CD pipelines and container orchestration.

• Monitor and optimize cloud resource usage for performance and cost-efficiency.

• Implement solutions for high availability, disaster recovery, and auto-scaling.

• Leverage tools like Stackdriver for observability, logging, and monitoring.

• Design cloud architectures with a strong focus on security and regulatory compliance (e.g., GDPR, HIPAA).

• Implement identity and access management (IAM) best practices.

• Ensure data protection, encryption, and secure network configurations.

• Work closely with cross-functional teams, including engineering, operations, and product teams, to align cloud architecture with business goals.

• Conduct architectural reviews, present proposals, and lead discussions with stakeholders.

• Mentor and guide team members on GCP best practices and emerging technologies.

• Extensive hands-on experience with Google Cloud Platform (GCP) services, including but not limited to:- Compute Engine, Kubernetes Engine (GKE), and App Engine- BigQuery, Cloud Storage, and Dataflow- Pub/Sub and Cloud Functions

• Strong understanding of cloud networking (VPC, VPN, Interconnect, DNS).- Proficiency in Infrastructure as Code (IaC) tools like Terraform or Deployment Manager.- Experience in designing and implementing microservices architectures and containerized workloads.

• Cloud Architecture and Migration Experience- Proven experience designing cloud-native and hybrid solutions.- Expertise in cloud migration strategies for workloads and data.

Key Mandatory Skills:

• Migration experience to GCP cloud, creating blueprints & best practices

• Architecture & Design for Data BigQuery, DataFlow, Cloud Pub/Sub

• Experience on Data Governance & industry regulations.

• In-depth knowledge of core GCP services such as IAM, GKE, cloud Storage, Networking

• Hands-on knowledge on IaaC build using Terraform and DevOps principles

Preferred Skills

• GCP certifications (e.g., Professional Cloud Architect, Professional Data Engineer).

• Experience with multi-cloud and hybrid cloud architectures.

• Familiarity with DevOps practices, CI/CD pipelines, and tools like Jenkins or GitOps.

• Knowledge of AI/ML services on GCP (Vertex AI, AutoML).

• Security certifications (e.g., CCSP, CISSP) are a plus.

The base compensation range for this role in the posted location is: $82,082 - $193,440

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

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., 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.