Cloud Infrastructure Engineer

6 days ago


Dearborn, Michigan, United States V2Soft Full time
About the Role

V2Soft, a global technology solutions company, is seeking a skilled Cloud Infrastructure Engineer to join our team. As a key member of our infrastructure engineering team, you will be responsible for designing, building, and maintaining scalable and reliable cloud infrastructure on Google Cloud Platform (GCP).

Key Responsibilities
  • Infrastructure as Code: Design and implement infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Deployment Manager.
  • Cloud Resource Management: Automate the provisioning and management of cloud resources to ensure consistency and repeatability.
  • Continuous Integration and Continuous Deployment (CI/CD): Implement and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or Cloud Build to facilitate seamless code integration and deployment.
  • Automated Testing and Monitoring: Ensure automated testing and monitoring are integrated into the CI/CD process to maintain high-quality code and rapid delivery cycles.
  • Data Pipeline Management: Collaborate with data engineers to design and optimize data pipelines on GCP using tools such as Apache Airflow, Cloud Composer, and Cloud Dataflow.
  • Cloud Security and Cost Management: Implement best practices for cloud security, cost management, and resource optimization.
  • Collaboration and Communication: Work closely with data engineers, data scientists, and other stakeholders to understand their requirements and provide the necessary infrastructure and tooling support.
  • Monitoring and Incident Management: Implement robust monitoring, logging, and alerting solutions using tools like Stackdriver, Prometheus, and Grafana.
  • Documentation and Training: Create and maintain comprehensive documentation for infrastructure, CI/CD pipelines, and operational procedures.
Requirements
  • Technical Skills: Proficiency in Infrastructure as Code (IaC) tools such as Terraform, Deployment Manager, or CloudFormation.
  • Strong Knowledge of CI/CD Tools: Experience with CI/CD tools and practices, including Jenkins, GitLab CI, and Cloud Build.
  • Data Pipeline Tools: Familiarity with data pipeline tools and frameworks such as Apache Airflow, Cloud Composer, and Cloud Dataflow.
  • Cloud Platform Expertise: Proficiency in GCP services, including Cloud Storage, Cloud Run, Cloud Functions, and BigQuery.
  • Scripting Languages: Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Soft Skills: Excellent problem-solving and analytical skills, strong communication and collaboration abilities, and ability to work independently and as part of a team in a fast-paced, dynamic environment.
Experience and Education
  • Minimum 5 Years of Experience: In DevOps or infrastructure engineering, with a strong focus on data warehousing.
  • At Least 2 Years of Experience: Working with Google Cloud Platform (GCP).
  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.


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