Senior Systems Engineer - Data DevOps/MLOps

This role requires a Senior Systems Engineer specializing in Data DevOps and MLOps to design, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment. You will build and maintain cloud-native infrastructure for data processing and model training, automate data validation, transformation, and workflow orchestration processes. The engineer will work closely with data scientists, software engineers, and product teams to integrate ML models into production seamlessly. Responsibilities include optimizing model serving and monitoring solutions for performance and reliability, managing data versioning, lineage tracking, and experiment reproducibility, and implementing security measures to ensure data integrity and regulatory compliance. You will also identify opportunities to enhance scalability, streamline deployments, and improve infrastructure resilience while diagnosing and resolving issues across the full data and ML pipeline lifecycle.