GCP Cloud Engineer
- Ford
- 0 - 3 years
- Chennai
- 3 days ago
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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
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:
- 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
Job Classification
Industry: AutomobileFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full timeContact Details:
Company: FordLocation(s): Chennai+ View Contact
Keyskills: Computer science Service level Cloud Services GCP Data processing Troubleshooting Information technology Monitoring Python Identity management
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