Senior Data Engineer - GCP

Capgemini • Atlanta, GA

20h • Remote

About The Position

We are seeking a senior Data engineer who will design, automate, secure, and optimize cloud solutions on Google Cloud Platform, working closely with engineering, DevOps, and security teams to ensure scalable, cost efficient, and resilient cloud environments.

Requirements

• GCP architecture & cloud design
• Kubernetes (GKE) & container orchestration
• Terraform, Helm, IaC design patterns
• GCP networking (VPC, peering, LB, Cloud NAT)
• GCP IAM, security, encryption, VPC SC
• Linux administration & Python/Bash scripting
• CI/CD pipelines (Cloud Build, GitHub Actions, GitLab)
• Monitoring & observability (Cloud Monitoring, Prometheus)
• Cloud cost optimization & FinOps fundamentals
• Understanding of SRE practices (SLO/SLI/SLA)
• Knowledge of event-driven & serverless architectures

Responsibilities

• Architect and implement compute, storage, networking, and container workloads on GCP.
• Automate provisioning and deployments using Terraform and CI/CD.
• Implement IAM, service accounts, and security controls.
• Build monitoring, logging, tracing, and alerting solutions.
• Optimize scaling, performance, and cloud costs.
• Support workload migration and modernization initiatives.
• Troubleshoot cloud issues and perform root cause analysis.

Benefits

• Paid time off based on employee grade (A-F), depending on grade: Vacation: 12-25 days
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed