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3 Days ago

GCP Cloud Engineer

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Information Technology
Full-Time
Ford Motor Company

Overview

Job Description

Responsibilities:

  • Infrastructure Provisioning and Management:
  • Set up and configure cloud projects/Data Integration Tools and accounts using Google Cloud Platform (GCP).
  • Configuring Cloud and Data Integration Solutions:
  • Configure Data integration tools like Astronomer/GKE/App Integration/Airflow and Composer
  • Data Pipeline Orchestration:
  • Set up and configure data pipeline orchestration tools such as Astronomer, Composer, and Airflow.
  • Manage and schedule workflows using Directed Acyclic Graphs (DAGs) to ensure efficient data processing.
  • Monitoring and Incident Response:
  • Maintain the availability of systems and services in production by setting service-level objectives (SLOs), service-level agreements (SLAs), and service-level indicators (SLIs).
  • Set up monitoring and alerting systems for cloud services, data pipelines, and AI solutions.
  • Respond to incidents, perform root cause analysis, and collaborate with teams to improve incident response practices.
  • Security and Compliance:
  • Ensure access and identity management in Google Cloud and data pipeline projects.
  • Implement security measures to protect cloud-based data, services, and AI/ML workloads.
  • Comply with global privacy laws and organizational policies.
  • GenAI Solution Development & Delivery:
  • Lead the development, testing, and deployment of GenAI solutions.
  • Collaboration and Communication:
  • Collaborate with cross-functional teams to design and implement innovative security solutions that align with industry best practices and regulatory requirements.
  • Communicate effectively with management and users about the state and performance of cloud services, data pipelines, and AI solutions.
  • Continuous Improvement:
  • Automate infrastructure provisioning with tools like Terraform and Tekton.
  • Enhance visibility and monitoring capabilities for cloud services, data pipelines, and GenAI solutions.
  • Implement improvements based on feedback and incident reviews
  • OnCall Support:
  • Able to support Oncall during weekends


Responsibilities

Responsibilities:

  • Infrastructure Provisioning and Management:
  • Set up and configure cloud projects/Data Integration Tools and accounts using Google Cloud Platform (GCP).
  • Configuring Cloud and Data Integration Solutions:
  • Configure Data integration tools like Astronomer/GKE/App Integration/Airflow and Composer
  • Data Pipeline Orchestration:
  • Set up and configure data pipeline orchestration tools such as Astronomer, Composer, and Airflow.
  • Manage and schedule workflows using Directed Acyclic Graphs (DAGs) to ensure efficient data processing.
  • Monitoring and Incident Response:
  • Maintain the availability of systems and services in production by setting service-level objectives (SLOs), service-level agreements (SLAs), and service-level indicators (SLIs).
  • Set up monitoring and alerting systems for cloud services, data pipelines, and AI solutions.
  • Respond to incidents, perform root cause analysis, and collaborate with teams to improve incident response practices.
  • Security and Compliance:
  • Ensure access and identity management in Google Cloud and data pipeline projects.
  • Implement security measures to protect cloud-based data, services, and AI/ML workloads.
  • Comply with global privacy laws and organizational policies.
  • GenAI Solution Development & Delivery:
  • Lead the development, testing, and deployment of GenAI solutions.
  • Collaboration and Communication:
  • Collaborate with cross-functional teams to design and implement innovative security solutions that align with industry best practices and regulatory requirements.
  • Communicate effectively with management and users about the state and performance of cloud services, data pipelines, and AI solutions.
  • Continuous Improvement:
  • Automate infrastructure provisioning with tools like Terraform and Tekton.
  • Enhance visibility and monitoring capabilities for cloud services, data pipelines, and GenAI solutions.
  • Implement improvements based on feedback and incident reviews
  • OnCall Support:
  • Able to support Oncall during weekends


Qualifications

QUALIFICATIONS

  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience: Proven experience in cloud engineering, data pipeline orchestration, and AI solution development, specifically with Google Cloud Platform (GCP) and tools like Astronomer, Composer, Airflow.
  • Programming Language : Python, Terraform, Google cloud, Tekton, Gen AI and LLM Models.
  • Skills:
    • Proficiency in GCP services and data pipeline orchestration tools.
    • Strong understanding of IAM roles, policies, and security best practices.
    • Experience with infrastructure as code tools like Terraform.
    • Excellent problem-solving and troubleshooting skills.
    • Strong communication and collaboration skills.

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