As a pioneer for digital transformation GFT develops sustainable solutions across new technologies.
Python Development, AWS, AI – Mid/Senior
Location
Brazil
Posted
4 days ago
Salary
0
Seniority
Senior
Job Description
Python Development, AWS, AI – Mid/Senior
GFT Technologies
• Mid/Senior professional working with Python, AWS, and AI. • Enjoy working in a team and be collaborative in your responsibilities; • Be willing to challenge yourself and go beyond, embracing new growth opportunities; • Turn ideas into creative solutions and pursue quality in all your work; • Have strong problem-solving skills; • Be able and comfortable working independently and managing your own time; • Be interested in tackling challenging and innovative technological situations.
Job Requirements
- High-performance applications using Python and frameworks such as LangChain, LangGraph, Flask, Django, FastAPI, pytest, and asyncio.
- Familiarity with development design patterns, for example: Creational (Factory Method, Abstract Factory, Builder);
- Structural (Adapter, Bridge, Composite);
- Behavioral (Chain of Responsibility, Command, Interpreter);
- Knowledge of AWS and/or Azure tools and services.
- Development best practices using SOLID principles.
- Experience with containers: Docker, EKS, ECS, and AKS;
- Experience with databases: NoSQL and relational; knowledge of DynamoDB and RDS is desirable.
- Experience in CI/CD: GitHub Actions, GitLab, CodePipeline, CodeBuild, and other CI/CD tools.
- Experience in the banking ecosystem: processes, services, etc.
- Experience with observability.
- Familiarity with tools such as Datadog and CloudWatch.
- Analytical skills (troubleshooting).
- Knowledge of language models (LLMs) such as GPT, Claude, Gemini, LLaMA.
- Experience with LLM solutions: OpenAI, Azure OpenAI, or AWS Bedrock.
- Use of frameworks such as LangChain, LangGraph, and Semantic Kernel.
- Understanding of GenAI agent concepts: RAG (Retrieval-Augmented Generation), tool-based agents, embeddings, and vector stores (Weaviate, AI Search).
- Building agents, copilots, and autonomous workflows with LLMs.
- Understanding of traditional ML concepts: regression, classification, and testing.
Benefits
- Multi-benefit card — you choose how and where to use it.
- Tuition support for undergraduate, graduate, MBA, and language courses.
- Certification incentive programs.
- Flexible working hours.
- Competitive salaries.
- Annual performance reviews with a structured career plan.
- Opportunities for international career development.
- Wellhub and TotalPass.
- Private pension plan.
- Childcare assistance.
- Health insurance.
- Dental insurance.
- Life insurance.
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