GCP Cloud Architect
eTeam
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Job summary
Qualifications
- Extensive hands-on experience with Google Cloud Platform (GCP) services.
- Strong understanding of cloud networking (VPC, VPN).
- Experience in designing and implementing microservices architectures.
Responsibilities
- Lead the design, implementation, and optimization of cloud solutions.
- Develop cloud architecture solutions leveraging GCP services.
- Design migration plans for applications and data to GCP.
Skills
Education
Tools
Job description
This range is provided by eTeam. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$75.00/hr - $85.00/hr
Direct message the job poster from eTeam
Job Title: GCP Cloud Architect/ Tech Lead
Location: Seattle, WA
Duration: 05+ months (Possible Ext.)
Pay Range: $(75.00 - 85.00)/hr on W2 all-inclusive without benefits
Job Description:
Role and responsibilities:
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 cost-effective cloud architectures tailored to business needs.
Key Responsibilities:
1. Architectural Design and Planning
o Develop cloud architecture solutions leveraging GCP services such as Compute Engine, BigQuery, Cloud Storage, Pub/Sub, Cloud SQL, and Kubernetes Engine.
o Translate business and technical requirements into scalable and secure cloud designs.
o Define architecture blueprints, best practices, and cloud standards for deployment.
2. Cloud Migration Strategy
o Assess existing systems, workloads, and data to determine cloud migration strategies.
o Design migration plans for applications, data, and infrastructure to GCP.
o Optimize resource utilization during migration to ensure minimal downtime and cost efficiency.
3. Implementation and Deployment
o Lead the setup and configuration of GCP environments, including VPCs, IAM policies, firewalls, and hybrid connectivity.
o Implement Infrastructure as Code (IaC) using tools like Terraform, Deployment Manager, or Ansible.
o Collaborate with DevOps teams to streamline CI/CD pipelines and container orchestration.
4. Performance and Cost Optimization
o Monitor and optimize cloud resource usage for performance and cost-efficiency.
o Implement solutions for high availability, disaster recovery, and auto-scaling.
o Leverage tools like Stackdriver for observability, logging, and monitoring.
5. Security and Compliance
o Design cloud architectures with a strong focus on security and regulatory compliance (e.g., GDPR, HIPAA).
o Implement identity and access management (IAM) best practices.
o Ensure data protection, encryption, and secure network configurations.
6. Stakeholder Collaboration and Leadership
o Work closely with cross-functional teams, including engineering, operations, and product teams, to align cloud architecture with business goals.
o Conduct architectural reviews, present proposals, and lead discussions with stakeholders.
o Mentor and guide team members on GCP best practices and emerging technologies.
Qualifications:
Technical Expertise:
Extensive hands-on 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
o Strong understanding of cloud networking (VPC, VPN, Interconnect, DNS).
o Proficiency in Infrastructure as Code (IaC) tools like Terraform or Deployment Manager.
o Experience in designing and implementing microservices architectures and containerized workloads.
Cloud Architecture and Migration Experience
o Proven experience designing cloud-native and hybrid solutions.
o Expertise in cloud migration strategies for workloads and data.
Soft Skills:
- Strong leadership and communication skills.
- Ability to articulate and document architecture decisions and trade-offs.
- Collaborative mindset to work with technical and non-technical stakeholders.
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.
- Seniority levelMid-Senior level
- Employment typeContract
- Job functionInformation Technology
- IndustriesIT Services and IT Consulting
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