Title: GCP Devops Architect
Location: - Hybrid – Seattle, WA (4 days/week onsite)
Duration: Fulltime
Domain: Manufacturing Industry
MOI: video Interview
Skills Matrix
YES / NO
Years
Skills Required
GCP certifications (e.g., Professional Cloud Architect, Professional Data Engineer)
Experience W/ Multi-cloud & Hybrid Cloud Architectures.
DevOps practices
Jenkins or GitOps
Knowledge of AI/ML services on GCP (Vertex AI, AutoML).
Security certifications (e.g., CCSP, CISSP) are a plus.
GCP Devops Architect
Compute Engine
BigQuery, CI/CD pipelines
Kubernetes Engine
GCP environments, including VPCs, IAM policies, firewalls
- We are seeking an experienced GCP Devops Architect to lead the design, implementation, and optimization of cloud solutions on Google Cloud Platform (GCP).
- 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
- Architectural Design and Planning
- 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.
- 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 and 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 and Cost Optimization
- 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.
- Security and 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 and Leadership
- 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.
Your Skills And Experience
- 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
B
igQuery, 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.
- 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.
