Backend Engineer

Strong proficiency in Python with experience in backend frameworks (Django, Flask, FastAPI, or similar)

Deep understanding of PostgreSQL including:
– Database design and schema optimization
– Complex query writing and optimization
– Indexing strategies and performance tuning
– Transaction management and ACID principles
– Experience with ORMs (SQLAlchemy, Django ORM) and raw SQL

Experience designing and developing RESTful APIs and/or GraphQL services

Proficiency with version control systems (Git) and collaborative development workflows

Hands-on experience with AWS services including:
– EC2 for compute resources
– RDS for managed PostgreSQL databases
– S3 for object storage
– Lambda for serverless Python functions
– API Gateway for API management
– Additional services like SQS, SNS, CloudWatch, or ElastiCache are a plus

Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

Understanding of microservices architecture and distributed systems

Familiarity with containerization (Docker) and orchestration on AWS (ECS, EKS)

Strong problem-solving skills and ability to write clean, Pythonic code

Experience with Python testing frameworks (pytest, unittest) and writing comprehensive tests

Understanding of software design patterns and SOLID principles

Knowledge of API documentation tools (Swagger/OpenAPI)

Familiarity with message queues and async processing (Celery, RabbitMQ, AWS SQS)

Performance optimization for both application code and database queries

Security best practices including SQL injection prevention, AWS IAM, and data encryption

Experience with PostgreSQL extensions and advanced features (JSONB, full-text search, partitioning)

Design, develop, and maintain scalable Python backend services and APIs on AWS infrastructure

Write clean, efficient, and well-documented Python code following PEP 8 and best practices

Design and optimize PostgreSQL database schemas, queries, and indexes for performance

Collaborate with frontend engineers, product managers, and designers to deliver features

Implement authentication, authorization, and data validation logic

Integrate third-party services and AWS services using Python SDKs

Monitor application and database performance using AWS CloudWatch and troubleshoot production issues

Participate in code reviews and provide constructive feedback

Write comprehensive unit, integration, and end-to-end tests

Manage database migrations and ensure data integrity

Contribute to technical documentation and architecture decisions

Optimize AWS and PostgreSQL resource usage for cost-efficiency and performance

Stay current with Python ecosystem and PostgreSQL updates

High-speed internet connectivity for video calls and efficient work

A capable business-grade computer (e.g., modern processor, 8GB+ RAM)

A dedicated home workspace for uninterrupted and efficient work

Headphones with clear audio quality

Stable power connection with backup options in case of internet/power outages

AWS certifications (Solutions Architect, Developer Associate)

Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, AWS CodePipeline)

Knowledge of caching strategies using Redis or AWS ElastiCache

Experience with asynchronous Python programming (asyncio, aiohttp)

Familiarity with monitoring and logging tools (CloudWatch, X-Ray, Sentry, DataDog)

Experience with infrastructure as code (Terraform, CloudFormation, AWS CDK with Python)

Knowledge of PostgreSQL replication, backup strategies, and high availability

Experience with data analytics and reporting using PostgreSQL

Contribution to open-source Python projects

Experience with Agile/Scrum methodologies

Knowledge of websockets and real-time communication