Job Title:  Lead Senior Associate | Engineering Foundry & Managed Services | Bengaluru | Engineering as a Servic

Python Backend Engineer (Go + Terraform + AWS) 

Role: Backend Engineer 

Experience: 4–8 Years 

Location: Hybrid - Bangalore 

Employment Type: Full-time 

About the Role 

We are looking for a skilled Backend Engineer with strong experience in Go, cloud-native services on AWS, containerization, and distributed messaging systems. The ideal candidate will develop, maintain, and optimize backend services, integrate observability tools, and ensure high performance and reliability of production systems. 

This role is perfect for someone with a strong backend foundation, cloud experience, and exposure to monitoring and logging systems. 

Responsibilities 

• Develop and maintain backend services using Go. 
• Build and manage containerized applications using Docker. 
• Work with NATS for messaging and event-driven architecture. 
• Deploy, monitor, and manage services on AWS (CloudWatch, EC2, ElastiCache/Redis). 
• Query and analyze logs and metrics using Humio Query Language and New Relic QL. 
• Collaborate with SRE, DevOps, and product teams to ensure high service availability and performance. 
• Write clean, maintainable, and well-tested code with focus on reliability and scalability. 
• Troubleshoot production issues and implement root-cause solutions. 
• Document technical designs, runbooks, and best practices for backend systems. 

Must-Have Skills 

• Go (Golang) 
• Docker 
• NATS (messaging/event streaming) 
• AWS (CloudWatch, EC2, ElastiCache/Redis) 
• Humio Query Language 
• New Relic QL 

Good-to-Have Skills 

• Python 
• Flask 
• Postman (API testing) 
• OpsRamp (monitoring/management) 
• Terraform (infrastructure as code) 

Preferred Qualifications 

• Experience with distributed systems and microservices architecture. 
• Knowledge of CI/CD pipelines and cloud deployment best practices. 
• Familiarity with observability, monitoring, and log aggregation. 
• Strong problem-solving skills in production and large-scale systems. 
• Exposure to event-driven architecture and cloud-native applications.