Responsibilities
- Design and implement stable runtime environments based on Kubernetes (RKE2 / Rancher)
- Build and maintain end-to-end CI/CD pipelines using GitLab CI/CD and Nexus
- Orchestrate complex data pipelines and batch workloads in Apache Airflow (KubernetesPodOperator)
- Implement enterprise-grade security standards, including: HashiCorp Vault integration
- Secrets management
- RBAC policies
- Configure and maintain monitoring and alerting for ML systems (Prometheus, Grafana, ELK)
- Collaborate closely with Data Engineering and Data Science teams to optimize container resource usage
Requirements
- Experienced Senior DevOps / MLOps Engineer
- Transition an analytical churn-prevention model from Proof of Concept (PoC) into a fully scalable, production-grade solution
- Kubernetes (RKE2 / Rancher)
- GitLab CI/CD
- Nexus
- Apache Airflow
- KubernetesPodOperator
- HashiCorp Vault integration
- Secrets management
- RBAC policies
- Prometheus
- Grafana
- ELK
