Data Ops Sénior
Core
Enable and accelerate development for Data Science, Data Analysis, and Data Visualization projects by implementing DevOps processes, tools, and expertise across the full lifecycle from prototype to production.
Role type
Senior Data Operations Engineer (DevOps)
Builds
Cloud infrastructure for analytical projects (including AI and agentic systems), shared services (Airflow, Langfuse, semantic layer), and Kubernetes clusters.
Domain
Retail / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
CI/CD, cloud deployment (GCP), infrastructure as code, containerization, Kubernetes orchestration, network architecture, software development, Apache Kafka administration, Bash/Python scripting
Preferred skills
GCP (GKE, Cloud Storage, Cloud SQL, Cloud Monitoring), relational databases, DevOps/Agile practices, cloud security and access management
Responsibilities
Implement and maintain CI/CD pipelines for cloud infrastructure; Administer shared services like Airflow and Langfuse; Ensure security compliance and access management; Automate service offerings; Assist engineers with deployment, configuration, incident investigation, and cloud cost optimization; Deploy and manage Kubernetes clusters; Operate Apache Kafka in production; Script automation in Bash or Python.
Seniority
Senior, hands-on IC
