Python Developer, AWS, AI – Mid/Senior

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• 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.

🎯 Requirements

• Experience with containers: Docker, EKS, ECS and AKS; • Experience with databases: NoSQL and relational databases; knowledge of DynamoDB and RDS is desirable; • Experience with CI/CD: GitHub Actions, GitLab, CodePipeline, CodeBuild and other CI/CD tools; • Experience within the banking ecosystem: processes, services, etc.; • Experience with observability; • Familiarity with tools such as Datadog and CloudWatch; • Strong analytical skills (troubleshooting); • Knowledge of language models (LLMs) such as GPT, Claude, Gemini, LLaMA; • Experience with LLM solutions: OpenAI, Azure OpenAI or AWS Bedrock; • Experience using frameworks such as LangChain, LangGraph and Semantic Kernel; • Understanding of GenAI agent concepts: RAG (Retrieval-Augmented Generation), tool-based agents, embeddings, vector stores (Weaviate, AI Search), building agents, copilots, and autonomous workflows with LLMs; • Understanding of traditional ML concepts: regression, classification, A/B testing.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Scholarships for Undergraduate, Graduate, MBA and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career plan. • Opportunities for international career growth. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Health insurance. • Dental insurance. • Life insurance.