Rackspace

Senior Cloud Automation Engineer (Working Days: Sunday to Thursday)

Job Description

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

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