GCP Cloud Engineer @ Ford

Responsibilities:

1. Infrastructure Provisioning and Management:
   
   
   
   • Set up and configure cloud projects/Data Integration Tools and accounts using Google Cloud Platform (GCP).
   
   


2. Configuring Cloud and Data Integration Solutions:
   
   
   
   • Configure Data integration tools like Astronomer/GKE/App Integration/Airflow and Composer
   
   


3. 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.
   
   


4. 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.
   
   


5. 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.
   
   


6. GenAI Solution Development Delivery:
   
   
   
   • Lead the development, testing, and deployment of GenAI solutions.
   
   


7. 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.
   
   


8. 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
   
   


9. OnCall Support:

• Able to support Oncall during weekends

Qualifications

• Education: Bachelors 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.

Responsibilities:

1. Infrastructure Provisioning and Management:
   
   
   
   • Set up and configure cloud projects/Data Integration Tools and accounts using Google Cloud Platform (GCP).
   
   


2. Configuring Cloud and Data Integration Solutions:
   
   
   
   • Configure Data integration tools like Astronomer/GKE/App Integration/Airflow and Composer
   
   


3. 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.
   
   


4. 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.
   
   


5. 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.
   
   


6. GenAI Solution Development Delivery:
   
   
   
   • Lead the development, testing, and deployment of GenAI solutions.
   
   


7. 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.
   
   


8. 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
   
   


9. OnCall Support:
   
   
   
   • Able to support Oncall during weekends