Senior Data Ops engineer (x/f/m)
Core
Build and maintain a scalable, cloud-native Data and AI Platform enabling autonomous development and deployment of data products with full observability.
Role type
Senior DataOps Engineer
Builds
Data Product Controller, Data and AI Platform orchestrator (Dagster), observability components, and CI/CD pipelines
Domain
Healthcare technology, Cloud Infrastructure, Data Engineering
Deliverable
infrastructure
Required skills
DataOps engineering, Kubernetes, ArgoCD, Crossplane, Python, Terraform, GCP, Infrastructure as Code, Cloud infrastructure, Problem-solving
Preferred skills
Data governance, CI/CD pipelines for data workflows
Technologies
GCP (BigQuery, Cloud Storage, Pub/Sub, Cloud Run, IAM, Monitoring), Kubernetes, ArgoCD, Terraform, Crossplane, Dagster, Python, Datadog, Git
Responsibilities
Maintain the Data Product Controller for automated management via CI/CD and IaC; Maintain the Data and AI Platform orchestrator (Dagster) for decentralized orchestration; Monitor platform performance, reliability, and troubleshoot issues; Provide observability components for cost, data quality, and lineage; Monitor platform costs and identify optimization opportunities; Contribute to platform architecture and developer experience improvements
Seniority
Senior, hands-on IC