GCP Cloud Engineer

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