Job title Google Cloud Platform Architect
Location Issaquah, WA
Contract 12+ months
A Google Cloud Platform Architect is responsible for designing, developing, and managing scalable, secure, and high-performance solutions on Google Cloud Platform (Google Cloud Platform).
They work closely with stakeholders, developers, and DevOps teams to translate business requirements into cloud architectures.
Key Responsibilities
Design and implement cloud-native architectures using Google Cloud Platform services
Lead cloud migration strategies from on-premises or other clouds
Define best practices for security, scalability, and cost optimization
Architect solutions using services like:
Compute: Compute Engine, Kubernetes Engine (GKE), Cloud Run
Storage: Cloud Storage, BigQuery
Networking: VPC, Load Balancing, Cloud CDN
Ensure high availability, disaster recovery, and fault tolerance
Implement CI/CD pipelines and DevOps practices
Collaborate with stakeholders to gather and translate requirements
Monitor system performance and optimize cloud resources
Ensure compliance with security and regulatory standards
Required Skills & Qualifications
Technical Skills
Strong experience with Google Cloud Platform (Google Cloud Platform)
Expertise in:
Cloud architecture design patterns
Microservices & containerization (Docker, Kubernetes)
Infrastructure as Code (Terraform, Deployment Manager)
Knowledge of:
Networking (VPC, DNS, VPN, firewall rules)
Security (IAM roles, encryption, identity management)
Data services (BigQuery, Pub/Sub, Dataflow)
Experience with scripting/programming:
Python, Java, or Go
Certifications (Preferred)
Google Professional Cloud Architect
Google Professional Data Engineer (optional but valuable)
Soft Skills
Strong problem-solving and analytical thinking
Excellent communication and stakeholder management
Ability to lead architecture discussions and mentor teams
Experience
Typically 5–10+ years in IT/cloud roles
At least 2–4 years hands-on Google Cloud Platform experience
Nice-to-Have
Multi-cloud exposure (AWS/Azure)
Experience with AI/ML services on Google Cloud Platform
Cost optimization and FinOps knowledge