Backend Engineer - Python/AWS

Role : Backend Engineer - Python + AWSAbout the Role :

We are looking for a talented Backend Engineer with strong expertise in Python and cloud-native application development to join our Product Engineering team. The ideal candidate will have hands-on experience building APIs and backend services using Python, FastAPI and/or Flask, along with strong knowledge of PostgreSQL and AWS.

What You'll Do :

• Design, develop, and maintain scalable backend services using Python.

• Build high-quality APIs and backend applications using FastAPI, Flask, or similar frameworks.

• Design robust API contracts, validation, error handling, and service integrations.

• Develop efficient database solutions using PostgreSQL.

• Design and optimize database schemas, SQL queries, indexes, and data-access patterns.

• Develop services capable of operating reliably within distributed and scalable system architectures.

• Design and develop cloud-native solutions using AWS services such as ECS, Lambda, DynamoDB, RDS, SQS, and API Gateway.

• Apply best practices around scalability, availability, reliability, security, observability, and cost optimization.

• Use Terraform/Infrastructure as Code to manage cloud infrastructure.

• Troubleshoot complex technical and production issues and perform root-cause analysis.

• Write clean, modular, reusable, testable, and maintainable code.

• Collaborate with Frontend, QA, Product, DevOps, and other engineering teams.

What We're Looking For :

• 3-8 years of professional experience in backend/software engineering.

• Strong programming experience with Python.

• Hands-on experience with FastAPI and/or Flask.

• Strong experience with PostgreSQL and SQL.

• Hands-on experience with AWS cloud services.

• Experience with Terraform or Infrastructure as Code.

• Strong understanding of REST API design and backend architecture.

Good to Have :

• Experience with Generative AI, LLMs, AI Agents, AI/ML, or AI-powered applications.

• Experience with Docker and containerized applications.

• Experience with application observability, monitoring, logging, and distributed tracing.

• Practical experience using Cursor, GitHub Copilot, or similar AI development tools.