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Lisle, IL, USA
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Job Description:
We are seeking a skilled GCP Engineer to design, implement, and optimize cloud infrastructure and machine learning solutions on Google Cloud Platform. The ideal candidate will have strong experience in GCP services, DevOps practices, and infrastructure as code, with a focus on scalability, security, and performance.
Key Responsibilities:
Design and deploy scalable and secure GCP architectures.
Lead cloud foundation builds and on-prem to GCP migrations.
Implement and optimize Vertex AI and ML solutions.
Automate infrastructure using Terraform, Ansible, and CI/CD pipelines.
Ensure security best practices and compliance in GCP environments.
Collaborate with cross-functional teams and troubleshoot infrastructure issues.
Stay updated on GCP tools, features, and industry best practices.
Required Skills:
5+ years of hands-on GCP experience.
Proficiency in Compute Engine, Kubernetes, BigQuery, Cloud Functions, and IAM.
Strong knowledge of Terraform, Python/Bash scripting, and DevOps pipelines.
Experience with Docker, Kubernetes, monitoring (Stackdriver, Prometheus, Grafana).
Understanding of hybrid/multi-cloud, networking (VPC, VPN), and security protocols.
Experience with Vertex AI and data tools (Dataflow, Pub/Sub, Dataproc) is a plus.
Preferred:
GCP Professional Cloud Architect certification.
Familiarity with serverless, AutoML, and AI Platform
Any Graduate
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