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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Senior Cloud Automation Engineer (Working Days: Sunday to Thursday) (India)
🏢 Important Company of the Sector
📍 India