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

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