Python+ DevOps

Role Overview
Join our dynamic team 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 DoBuild scalable async processing pipelines for document classification, extraction, and validationOptimize cloud infrastructure costs while maintaining 99.9% uptime for document processing workflowsDesign 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 rulesTechnical Requirements 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 experienceAPI design and development (REST/GraphQL)Database optimization (MongoDB, PostgreSQL)Production monitoring and debuggingNice 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

Job Type: Full-time

Experience:

• Python: 5 years (Required)
• DevOps: 5 years (Preferred)

Location:

• Bangalore, Karnataka (Required)

Work Location: In person

Speak with the employer
+91 9258692828