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
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