Python Developer, AWS, AI – Mid/Senior

GFT Technologies

Mid/Senior Python Developer building high-performance applications with AWS and AI frameworks. Collaborating on advanced development methodologies and driving innovation in backend systems.

Posted 7/26/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing high-performance applications using Python and frameworks like Flask and Django, while applying development best practices such as SOLID principles. Proficient in utilizing cloud services like AWS and Azure, along with CI/CD tools and containerization technologies to enhance application deployment and observability.

Highest-signal resume keywords

Python Application DevelopmentAWS and Azure ServicesCI/CD Tools (GitHub Actions, GitLab)Containerization (Docker, EKS, ECS)Language Models (LLMs) Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFlaskDjangoFastAPILangChainLangGraphDockerNoSQL DatabasesCI/CDMachine Learning Concepts

Soft Skills

Analytical SkillsTroubleshooting

Tools & Technologies

GitHub ActionsGitLabDatadogCloudWatchDynamoDBRDSEKSECSAKSCodePipeline

Industry Keywords

Banking EcosystemDevelopment Design PatternsObservabilityGenAI Agent ConceptsRetrieval-Augmented Generation

Tech Stack

Tools & technologies

AWSAzureDjangoDockerFlaskNoSQLPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.