GCP Cloud Engineer

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

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.