UsefulBI Corporation
Website:
usefulbi.com
Job details:
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).
This job was posted by Chetna Joshi from UsefulBI.
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