Senior Google Cloud Platform Engineer
New
United StatesFull-TimeSenior
Salary149,469 - 184,000 USD per year
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Job Details
- Experience
- 10 + years
- Required Skills
- PythonGCPKubernetesCI/CDLinuxTerraformBigQuery
Requirements
- Bachelor’s degree in Computer Science, IT, Systems Engineering, or related field.
- 10+ years of cloud, infrastructure, systems, or platform engineering experience.
- Hands-on enterprise-scaling Google Cloud Platform (GCP) engineering and operations experience.
- Experience supporting AI/ML workloads including Vertex AI, BigQuery, Dataproc, Dataflow, and MLOps patterns.
- Strong DevSecOps automation skills, including CI/CD, Git-based workflows, and secure deployment practices.
- Expertise with Terraform and IaC best practices.
- Understanding of multi-cloud concepts (AWS/Azure).
- Proficiency with Linux and Windows Server.
- Scripting experience with Python, Bash, and PowerShell.
- Strong GCP networking experience (VPCs, Cloud DNS, Cloud NAT, Cloud VPN, Cloud Interconnect, load balancing).
- Experience with Docker and Google Kubernetes Engine (GKE).
- Ability to obtain and maintain a Secret clearance.
Responsibilities
- Engineer, deploy, and optimize GCP infrastructure across IaaS, PaaS, serverless, container, data, and AI services.
- Support data scientists and AI engineers using Vertex AI, Gemini APIs, Model Garden, BigQuery ML, Dataproc, Dataflow, and Databricks.
- Develop and maintain Infrastructure as Code (IaC) using Terraform and policy-driven automation frameworks.
- Implement DevSecOps practices including automated scans, configuration compliance, policy-as-code, and CI/CD controls.
- Engineer core GCP components such as compute, storage, networking, identity, Kubernetes, monitoring, and logging.
- Design and support secure connectivity across hybrid, SaaS, and multi-cloud architectures.
- Produce architecture diagrams, engineering documentation, and technical recommendations.
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