Python+DevOps

Posted on July 11, 2025

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Job Description

  • New Client:::
  • *Job Role:* Python+DevOps
  • *Experience:* 5+
  • *Location:*bangalore
  • *JD:*
  • Join our dynamic team in HSR, Bangalore as a�Backend + DevOps Engineer. You'll architect and scale document processing pipelines that handle thousands of financial documents daily, ensuring high availability and cost efficiency.
  • What You'll Do
  • 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
  • Technical RequirementsMust Have:
  • 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
  • Nice to Have:
  • Kubernetes experience
  • Experience with document processing or ML pipelines
  • Infrastructure as Code (Terraform/CloudFormation)
  • Message queues (SQS, RabbitMQ, Kafka)
  • Performance optimization for high-throughput systems

Required Skills

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