Python Development, AWS, AI – Mid/Senior

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

🔒 Cybersecurity

📋 Compliance

☁️ SaaS

Cybersecurity • Compliance • SaaS

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

• 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.

🎯 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.