GCP Security Architect
GCP Security Architect
Posted on :
11-01-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
11-01-2025
Job Description
Capgemini FG# CGEMJPGCP Security Architect Issaquah WA (Onsite Preferred or Remote)
Job Title: GCP Security Architect
Location: Issaquah WA (Onsite Preferred or Remote)
Duration: 6 Months
Rate: DOE C2C All Inclusive
New Capgemini Onboarding Process Updates:
Due to additional onboarding requirements a meet and greet is required for all new hires.
Selected candidates must be willing to go to the closest Capgemini/Client office location as indicated by the project team to meet and greet with a Capgemini team member prior to starting their assignment.
If the candidate is not local Capgemini will pay the expenses.
Job Summary:
We are 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 costeffective cloud architectures tailored to business needs.
Key Responsibilities:
Architectural Design and Planning:
Develop cloud architecture solutions leveraging GCP services such as Compute Engine Big Query 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.
Cloud Migration Strategy:
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.
Implementation & Deployment:
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.
Performance & Cost Optimization:
Monitor and optimize cloud resource usage for performance and costefficiency.
Implement solutions for high availability disaster recovery and autoscaling.
Leverage tools like Stack driver for observability logging and monitoring.
Security & Compliance:
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.
Stakeholder Collaboration & Leadership:
Work closely with crossfunctional 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.
Qualifications:
Technical Expertise:
Extensive handson experience with Google Cloud Platform (GCP) services including but not limited to:
Compute Engine Kubernetes Engine (GKE) and App Engine
Big Query 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 & Migration Experience:
Proven experience designing cloudnative and hybrid solutions.
Expertise in cloud migration strategies for workloads and data.
Soft Skills:
Strong leadership and communication skills.
Ability to articulate and document architecture decisions and tradeoffs.
Collaborative mindset to work with technical and nontechnical stakeholders.
Preferred Skills:
GCP certifications (e.g. Professional Cloud Architect Professional Data Engineer).
Experience with multicloud 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.
Job Title: GCP Security Architect
Location: Issaquah WA (Onsite Preferred or Remote)
Duration: 6 Months
Rate: DOE C2C All Inclusive
New Capgemini Onboarding Process Updates:
Due to additional onboarding requirements a meet and greet is required for all new hires.
Selected candidates must be willing to go to the closest Capgemini/Client office location as indicated by the project team to meet and greet with a Capgemini team member prior to starting their assignment.
If the candidate is not local Capgemini will pay the expenses.
Job Summary:
We are 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 costeffective cloud architectures tailored to business needs.
Key Responsibilities:
Architectural Design and Planning:
Develop cloud architecture solutions leveraging GCP services such as Compute Engine Big Query 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.
Cloud Migration Strategy:
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.
Implementation & Deployment:
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.
Performance & Cost Optimization:
Monitor and optimize cloud resource usage for performance and costefficiency.
Implement solutions for high availability disaster recovery and autoscaling.
Leverage tools like Stack driver for observability logging and monitoring.
Security & Compliance:
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.
Stakeholder Collaboration & Leadership:
Work closely with crossfunctional 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.
Qualifications:
Technical Expertise:
Extensive handson experience with Google Cloud Platform (GCP) services including but not limited to:
Compute Engine Kubernetes Engine (GKE) and App Engine
Big Query 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 & Migration Experience:
Proven experience designing cloudnative and hybrid solutions.
Expertise in cloud migration strategies for workloads and data.
Soft Skills:
Strong leadership and communication skills.
Ability to articulate and document architecture decisions and tradeoffs.
Collaborative mindset to work with technical and nontechnical stakeholders.
Preferred Skills:
GCP certifications (e.g. Professional Cloud Architect Professional Data Engineer).
Experience with multicloud 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.
Please send your resumes to:
Employment Type
Full Time
Key Skills
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