Development, Python, 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; knowledge of DynamoDB and RDS is desirable. • Experience with 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: Datadog, CloudWatch. • Strong analytical and troubleshooting skills. • Knowledge of large language models (LLMs) such as GPT, Claude, Gemini, LLaMA. • Experience with LLM platforms and 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, vector stores (Weaviate, AI Search), agent creation, copilots, and autonomous workflows with LLMs. • Understanding of traditional ML concepts: regression, classification, A/B testing.

🏖️ Benefits

• Multi-benefit card – you 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. • Possibility of international career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Health insurance. • Dental insurance. • Life insurance.