Python DevOps Engineer - Kubernetes

Job Title : Python DevOps

Location : Bangalore

Experience : 5+ years

Mode : 6month contract + ext.

Responsibilities :

- Build scalable async processing pipelines for document classification, extraction, and validation

- Optimize cloud infrastructure costs while maintaining 99.9% uptime for document processing workflows

- Design and implement APIs for document upload, processing status, and results retrieval

- Manage Kubernetes deployments with autoscaling based on document processing load

- Implement monitoring and observability for complex multistage document workflows

- Optimize database performance for high-volume document metadata and processing results

- Build CI/CD pipelines for safe deployment of processing algorithms and business rules

Requirements :

- 5+ years backend development (Python or Go).

- Strong experience with async processing (Celery, Temporal, or similar)

- Docker containerization and orchestration

- Cloud platforms (AWS/GCP/Azure) with cost optimization experience

- API design and development (REST/GraphQL)

- Database optimization (MongoDB, PostgreSQL)

- Production monitoring and debugging