DataOps / MLOps Engineer (Strong DevOps Focus)

We are hiring a DataOps / MLOps Engineer (Strong DevOps Focus) to work remotely, designing, building, and operating highly reliable, secure, and scalable DataOps and MLOps platforms.

Requirements

• Designs, builds, and operates highly reliable, secure, and scalable DataOps and MLOps platforms with strong engineering rigor.
• Owns infrastructure, data, and ML production pipelines end to end, enforcing automation, testing, governance, and operational best practices.
• Acts as the quality and reliability gatekeeper for all data and AI workloads.
• A Deep expertise in DataOps and MLOps principles.
• Strong DevOps skills with a rigorous, engineering-first mindset.
• Infrastructure as Code (Terraform and related tools).
• CI/CD for data and ML pipelines, including testing, validation, and versioning.
• Workflow orchestration and scheduling using Airflow.
• Containerization and orchestration (Docker, AKS/Kubernetes).
• Cloud platform management (with focus on AKS and supporting services).
• Governance and access management across the data & AI ecosystem.
• Manage repository access for Data Engineers, Analysts, and Scientists.
• Control and audit Snowflake access, roles, and permissions.
• Integrate and manage Active Directory (AD) groups and identity-based access.
• Data platform operations (Snowflake, dbt).
• ML lifecycle management (deployment, monitoring, rollback, drift detection).
• Monitoring, logging, alerting, and observability for data and ML systems.
• Security, compliance, documentation, and standardization.
• Detail-oriented, methodical, and highly rigorous approach to engineering and operations.

Benefits

• Opportunity to work remotely
• Growth and development opportunities in a global company
• Collaborative work environment with professionals from around the world