Google Cloud Platform Cloud Engineer

N2 Services Inc
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Application Integration Architecture Automation of Tests Backup Devices BigQuery C Sharp (Programming Language) Cloud Computing Cloud Engineering Cloud Storage Computer Programming Continuous Integration
+24 more
Database Development DevOps Disaster Recovery Domain Name System (DNS) Identity and Access Management Python (Programming Language) NoSQL Performance Tuning Reliability Engineering Site Reliability Engineering Practices Data Logging Google Cloud Load Balancing Cloud Platform System Amazon Virtual Private Cloud (VPC) Containerization Kubernetes Infrastructure Automation Frameworks Information Technology Cloud Migration Cloud Optimization Terraform Splunk Dynatrace

Job description

We are seeking a Google Cloud Platform Cloud Engineer to design, build, deploy, automate, and support cloud infrastructure and managed services within Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong hands-on experience with Google Cloud Platform infrastructure, Terraform/IaC, cloud networking, DevOps, SRE, security, and monitoring/observability., * Design, build, deploy, and support scalable Google Cloud Platform cloud infrastructure.

  • Develop and maintain Terraform-based Infrastructure-as-Code.
  • Configure and manage Google Cloud Platform services, networking, IAM, security, and managed services.
  • Implement highly available, secure, resilient, and cost-effective cloud environments.
  • Develop automation for infrastructure provisioning, deployment, monitoring, and resource management.
  • Support CI/CD, DevOps, and SRE practices.
  • Monitor cloud environments using Dynatrace and Splunk and troubleshoot performance and reliability issues.
  • Design and optimize cloud storage and database solutions.
  • Implement backup, disaster recovery, security, and data-retention requirements.
  • Collaborate with architects, security teams, product teams, and other stakeholders.
  • Support migration of on-premises applications and services to Google Cloud Platform.
  • Evaluate emerging cloud technologies and contribute to cloud modernization initiatives.

Requirements

  • Bachelor’’s degree in Computer Science, Information Technology, Engineering, or a related technical field.
  • 4+ years of hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Strong experience in Cloud Infrastructure Engineering, including designing, implementing, deploying, and supporting cloud environments.
  • 4+ years of Terraform / Infrastructure-as-Code (IaC) experience.
  • Hands-on experience with Dynatrace and Splunk for monitoring, logging, and observability.
  • Experience designing and implementing scalable, secure, highly available Google Cloud Platform infrastructure.
  • Experience with Google Cloud Platform services including:
  • IAM
  • Secret Manager
  • Cloud DNS
  • Cloud Load Balancing
  • VPC
  • Cloud Run
  • Cloud Functions
  • BigQuery
  • Experience with Cloud SQL and NoSQL databases.
  • Experience with at least one programming/scripting language such as Python, Java, C#, or Go.
  • Ability to maintain and troubleshoot existing application or automation code., * Experience with Kubernetes / GKE and containerized environments.
  • Experience with CI/CD pipelines and DevOps practices.
  • Strong understanding of SRE principles.
  • Experience with cloud networking and security.
  • Experience designing highly available, resilient, and disaster-recovery-ready environments.
  • Experience with backup, recovery, and disaster recovery solutions.
  • Experience with cloud migration and modernization initiatives.
  • Experience developing automation scripts and infrastructure tooling.
  • Experience with APIs and cloud-based application integrations.
  • Experience with cloud cost optimization and resource utilization.

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