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About the role
We're looking for a Python Django Developer with 2+ years of professional experience building backend services. The ideal candidate has shipped at least two Django-based mobile and/or webapp backend, is comfortable with relational and document databases, and can collaborate across the stack. Exposure to public cloud (AWS/Azure) and modern front-end frameworks (React.js or AngularJS) is a plus. Job Requirements bachelors degree in Engineering (Computer Science, IT, or related field) 2+ years professional experience with Python and Django (including Django REST Framework) Proven delivery of at least two backend JSON/REST APIs in production Strong database fundamentals; hands-on experience with PostgreSQL (schema design, indexing, query optimization) and MongoDB (data modeling, aggregation) Proficiency with Git, Git-based workflows, and CI/CD pipelines Experience with containerization (Docker) and basic Linux command-line usage Preferred Skills: Front-end experience with React.js or AngularJS (consuming APIs, state management, build tooling) Cloud deployment experience on AWS or Azure (eg, EC2/App Service, RDS/Atlas, S3/Blob, IAM/Identity) Familiarity with caching (Redis), messaging/queues (Celery/RQ/SQS), and API documentation (OpenAPI/Swagger) Observability practices (logging, metrics, tracing) with tools like Prometheus/Grafana, ELK/OpenSearch Security best practices (OWASP, secure secrets management, rate limiting) Main Job Duties Design, build, and maintain backend services using Python/Django (DRF preferred) to deliver secure, performant JSON/REST APIs Model data and write efficient queries in PostgreSQL; integrate and optimize data flows with MongoDB where applicable Implement authentication/authorization, request validation, error handling, logging, and monitoring Write unit/integration tests; participate in code reviews; uphold coding standards and best practices Collaborate with front-end engineers (React.js or AngularJS) to define API contracts and ensure seamless integrations Deploy and operate services on public cloud (AWS/Azure), leveraging CI/CD, containerization (Docker), and IaC where relevant Diagnose and resolve performance bottlenecks, scalability issues, and production incidents Document APIs, architecture decisions, and operational runbooks
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