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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

cloud architectureGCPInfrastructure as CodeTerraformBigQueryCloud StorageIAMKubernetes Enginedata migrationdisaster recovery

Soft skills

collaborationmentoringcommunicationleadershipproblem-solvingstakeholder engagementorganizational skillstechnical guidancecross-functional teamworkpresentation skills

Certifications

Professional Cloud ArchitectProfessional Data EngineerCCSPCISSP