Backend Developer (Python / AWS / Terraform)

Tata Consultancy Services; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services seeks a skilled backend engineer to design, build, and maintain robust backend services and APIs in Python.

You will develop RESTful APIs, microservices, and data workflows using PySpark and AWS Glue, shape AWS infrastructure with Terraform, and implement secure IAM practices across environments.

Join a fast-paced team in India, deliver reliable, scalable cloud-native systems, and own CI/CD pipelines, monitoring, and performance improvements.

Qualifications

• Experience designing and building backend services and APIs in Python.
• Familiarity with AWS services and Terraform for infrastructure as code.
• Exposure to data processing workflows with PySpark or AWS Glue.

Responsibilities

• Design, build, and maintain backend services and APIs using Python.
• Develop RESTful APIs, microservices, and background workers.
• Architect and manage AWS infrastructure using Terraform.

Skills

Python

API design & development

AWS cloud architecture

Terraform IaC

CI/CD mindset

Tools

Terraform

AWS

Docker

Git

Poetry

UV

Job description

Design, build, and maintain backend services and APIs using Python.

• Develop RESTful APIs, microservices, and background workers.
• Architect and manage AWS infrastructure using Terraform.
• Build and optimize data processing workflows using PySpark, AWS Glue.
• Integrate with databases, queues, and external services securely and efficiently.
• Implement and support CI/CD pipelines for backend services.
• Monitor, troubleshoot, and improve performance, reliability, and security of backend systems.

Core Skills

Cloud & Infra: AWS (EC2, Lambda, Step Functions, S3, DynamoDB, Glue API Gateway, IAM, VPC), Terraform (IaC modules, remote state, multi-env).

DevOps: Git, CI/CD tools (GitHub Actions / Jenkins), Docker, Dependency Management tools (Poetry, UV)

Additional Skills (Nice to Have)

• Event-driven architectures (SNS/SQS, Kafka, Kinesis).
• Monitoring & observability (CloudWatch, Prometheus, Grafana, ELK/EFK).
• Security (IAM best practices, secrets management, encryption at rest/in transit).
• Automated testing (pytest, unittest, integration, and contract testing).