Python Development Specialist, GenAI

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🕒 April 20

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FCamara Consulting & Training

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛍️ eCommerce

🤖 Artificial Intelligence

Consulting • eCommerce • Artificial Intelligence

FCamara Consulting & Training is a Brazilian multinational firm specializing in digital transformation and consulting services. With over 17 years in the market, FCamara's ecosystem focuses on innovation, e-commerce, digital strategy, and the integration of technology solutions such as artificial intelligence and cybersecurity. The company collaborates with a variety of sectors including retail, healthcare, finance, and logistics, empowering more than 1,000 businesses to evolve in the digital realm.

📋 Description

• Develop robust, reusable and high-performance backend services in Python. • Design and evolve microservices architectures with a focus on modularity and scalability. • Build RESTful APIs with versioning, authentication and security. • Ensure quality and performance through advanced testing practices and optimizations. • Automate build, test and internal library release processes. • Participate in code reviews, define standards and promote best practices. • Investigate incidents and propose structural improvements in production. • Integrate legacy and external systems following interoperability best practices. • Collaborate with Architecture, Product, QA and Operations on business-aligned technical solutions.

🎯 Requirements

• Proficiency in Python with Django, Flask or FastAPI. • End-to-end backend development in a microservices architecture. • Version control (Git), build automation and dependency management (pipenv, poetry). • Relational databases (PostgreSQL, MySQL) and experience using Redis. • REST API design and versioning with Swagger/OpenAPI. • Automated testing (pytest, unittest) and TDD. • SOLID principles, dependency injection, modularity and design patterns (Factory, Strategy, etc.). • Cloud-agnostic architecture with containers (Docker, Kubernetes). • CI/CD and semantic versioning. • Performance optimization for Python applications. • Knowledge of NoSQL, Elasticsearch and search engines. • Clean Architecture, DDD, Hexagonal and 12-Factor App methodology. • Automation scripting (Bash/Shell) and packaging internal libraries. • Monitoring and observability (Grafana, CloudWatch, Splunk). • Experience in multi-cloud environments and cost-optimization focus. • Software security (OWASP, OAuth 2.0, JWT) and technical governance. • Use of AI for productivity (e.g., GitHub Copilot).

🏖️ Benefits

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