Rackspace Technology
Senior Cloud Automation Engineer (Working Days: Sunday to Thursday)
Be an Early Applicant
Design, build, and operate Airflow DAGs and Python connectors to automate private cloud resource provisioning. Package and deploy workflows on Kubernetes, integrate DevSecOps, monitor runs, and collaborate with backend and DevOps teams to ensure reliable, idempotent automation.
Role Summary
Build and operate Airflow DAGs and Python connectors to automate private cloud resource provisioning/lifecycle exposed through the CMP.
Experience: 10+years
Key Responsibilities
- Develop Python operators/hooks for cloud/service-catalog APIs.
- Design reliable DAGs with idempotency, retries, compensations, and SLAs.
- Package/deploy on K8s; monitor runs; collaborate with Backend & DevOps.
Required Skills
- Python, Airflow, REST/GraphQL integration; K8s fundamentals and secrets.
- DevSecOps integration (SAST/DAST), logging/metrics/tracing of workflows.
- Private cloud APIs (IaaS/PaaS/DBaaS), multi-tenant/shared services automation.
- PostgreSQL/MS SQL provisioning, access/roles, schema operations.
KPIs / Success Measures
- Run success rate, mean duration, failure MTTR, % automation, drift reduction.
Tools / Tech
- Python, Airflow, Kubernetes, Helm, GitLab CI, Prometheus/Grafana, ELK, Vault, PostgreSQL, MS SQL Server
Top Skills
Python,Airflow,Rest,Graphql,Kubernetes,Helm,Gitlab Ci,Prometheus,Grafana,Elk,Vault,Postgresql,Ms Sql Server,Sast,Dast
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