Student Cloud Infrastructure Analyst supporting Data Mesh migrations and onboarding at Sun Life. Gaining experience with cloud technologies and collaborating within an Agile team.
About the role
- GCP Cloud Architect leading the design and implementation of cloud solutions on Google Cloud Platform. Focused on scalable, secure architectures tailored to business needs.
Responsibilities
- 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.
Requirements
- 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
- GCP certifications (e.g., Professional Cloud Architect, Professional Data Engineer) preferred.
- Experience with multi-cloud and hybrid cloud architectures preferred.
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Jenkins or GitOps preferred.
- Knowledge of AI/ML services on GCP (Vertex AI, AutoML) preferred.
- Security certifications (e.g., CCSP, CISSP) are a plus.
Benefits
- 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)
- Life and disability insurance
- Employee assistance programs
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