Python Backend Engineer (AWS Integration)

We are looking for a skilled Python Backend Engineer (AWS integration) with strong expertise in backend application development, AWS service integrations, and scalable distributed systems. The ideal candidate should have hands-on experience in designing and developing RESTful APIs, integrating AWS services, and building cloud-native backend applications using Python. The role requires a solid understanding of system design principles, scalability, containerization, and cloud architecture.

Responsibilities:

• Design, develop, and maintain scalable backend applications using Python.
• Develop and integrate RESTful APIs and microservices.
• Build cloud-native applications leveraging AWS services.
• Design secure and efficient integrations across AWS components.
• Collaborate with frontend, data engineering, and DevOps teams to deliver end-to-end solutions.
• Design scalable architectures following distributed system principles.
• Optimize application performance, reliability, and scalability.
• Containerize applications using Docker and support deployment workflows.
• Implement authentication, authorization, and secure API practices.
• Troubleshoot production issues and improve system performance.

Requirements:

• Strong proficiency in Core Python and backend development.
• Hands-on experience with REST API design and development.
• Strong experience integrating AWS services, including S3 Lambda, EC2 ECS, Glue, Athena, Redshift, RDS, ECR, IAM, Step Functions, DynamoDB, and Amazon Bedrock.
• Strong understanding of system design and distributed architectures.
• Experience with Docker and containerized application development.
• Knowledge of vertical scaling, horizontal scaling, sharding, caching, and the CAP theorem.
• Experience with GitHub, Postman, and Docker Desktop.
• Strong understanding of microservices architecture.
• Familiarity with Linux and application deployment.
• Experience troubleshooting and optimizing backend applications.

Good to Have:

• Strong SQL skills.
• Exposure to Generative AI and Large Language Models (LLMs).
• Experience with FastAPI or Flask.
• Knowledge of CI/CD pipelines and GitHub Actions.
• Experience with Kubernetes (EKS) and Terraform.
• Exposure to event-driven architectures and messaging systems.
• AWS Certifications (Developer Associate or Solutions Architect Associate).