Role Overview: Architect and scale document processing pipelines that handle thousands of financial documents daily, ensuring high availability and cost efficiency.

Tools : Github actions, Docker, Kubernetes, Terraform, Ansible, Python, AWS, GCP, Azure, Temporal, Kafka.

Key Responsibilities:

Build scalable async processing pipelines for document identification, extraction & validation Optimize cloud infra costs while maintaining 99.9% uptime for document processing workflows Design and implement APIs for document upload, processing status & results retrieval Manage kubernetes deployments with autoscaling based on document processing load Implement monitoring and observability for complex multistage document workflows Optimize db performance for high volume document metadata and processing results Build CI / CD pipelines for safe deployments

Technical Requirements - Must haves:

5+ years backend development experience (Python or Golang) Strong experience with async processing (Kafka, Temporal or Similar) Docker containerization and orchestration Cloud platforms (AWS/ GCP/ Azure) with cost optimization experience Rest API design and development Database optimization ( MongoDB, Postgresql) Production monitoring and debugging Managing Kubernetes Cluster

Technical Requirements - Nice to have:

Experience with document processing or ML pipelines Infra as code ( Terraform / Cloudformation / pulumi etc.) Message queues ( SQS, Rabbit MQ, Kafka) Performance optimization for high throughput systems