Accountabilities

• Contribute to architectural design across cloud infrastructure, data platforms, and AI/ML systems, taking ownership of significant technical components.
• Build and integrate cloud-native solutions involving microservices, serverless applications, containers, and event-driven workloads across platforms such as AWS, Azure, and GCP.
• Implement infrastructure-as-code and automated CI/CD pipelines using technologies such as Terraform, CloudFormation, and GitHub Actions.
• Design and contribute to data architectures, including data pipelines, warehouses, modeling, and ETL/ELT workflows using tools such as Snowflake, BigQuery, Airflow, and dbt.
• Support the design and implementation of AI/ML systems, including model serving, MLOps pipelines, and LLM-based capabilities.
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Accountabilities

• Contribute to architectural design across cloud infrastructure, data platforms, and AI/ML systems, taking ownership of significant technical components.
• Build and integrate cloud-native solutions involving microservices, serverless applications, containers, and event-driven workloads across platforms such as AWS, Azure, and GCP.
• Implement infrastructure-as-code and automated CI/CD pipelines using technologies such as Terraform, CloudFormation, and GitHub Actions.
• Design and contribute to data architectures, including data pipelines, warehouses, modeling, and ETL/ELT workflows using tools such as Snowflake, BigQuery, Airflow, and dbt.
• Support the design and implementation of AI/ML systems, including model serving, MLOps pipelines, and LLM-based capabilities.
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