8 melhores vagas de full stack developer (python) (Contratando agora!)

Senior Full Stack Developer ID71007
AgileEngine —Remoto
- Tempo integral
- Home Office
- Gestão
- Inglês
- Banco de Dados
Candidatura rápida
15 h
IT Infrastructure & Application Platform Support Engineer
Eurofins Agroscience Services Inc —Belo Horizonte, MG
- Tempo integral
- Azure
- Gestão
- Ciência da Computação
3 h
Senior Solution Architect - LATAM
adjoe —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Inglês
- Java
- SQL
Candidatura rápida
15 h
QA Automation Engineer - Remote Work
BairesDev —Jaboatão dos Guararapes, PE
- Tempo integral
- Home Office
- Java
- Mestrado
- C++
- Trabalho remoto
11 h
QA Manager - Remote Work
BairesDev —Jaboatão dos Guararapes, PE
- Tempo integral
- Home Office
- Ciência da Computação
- Mestrado
- Desenvolvimento de Software
- Trabalho remoto
11 h
Lead AI Engineer — Productivity Systems
Nubank —Rio de Janeiro, RJ
- Tempo integral
- Modelo Híbrido
- APIs
- Inteligência artificial
- Python
- Vale-transporte
Candidatura rápida
7 h
Lead AI Engineer — Productivity Systems
Nubank —Campinas, SP
- Tempo integral
- Modelo Híbrido
- APIs
- Inteligência artificial
- Python
- Vale-transporte
Candidatura rápida
7 h
Lead AI Engineer — Productivity Systems
Nubank —Belo Horizonte, MG
- Tempo integral
- Modelo Híbrido
- APIs
- Inteligência artificial
- Python
- Vale-transporte
Candidatura rápida
7 h

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Senior Full Stack Developer ID71007

AgileEngine -
Remoto

Candidatura rápida

Detalhes da vaga

Tempo integral
Há 15 horas

Qualificações

Gestão
Data Lake
React
Desenvolvimento Full Stack
Relational databases
Estrutura de Dados
Certificação AWS
Slack
NoSQL
Inglês
Banco de Dados
SQL
Docker
PostgreSQL
Redis
SDKs
Desenvolvimento de Software
APIs
ETL
Escalabilidade
S3
GraphQL
DynamoDB
Flask
Inteligência artificial
Python
Marketing

Descrição completa da vaga

About the role

We are looking for a Senior Full Stack Developer to build and maintain backend services and frontend interfaces that surface, validate, and resolve issues in data coming from ETL pipelines, data lake outputs, and ML model results for a large-scale marketing analytics platform. You will develop REST APIs in Python using FastAPI or Flask, build responsive React and TypeScript frontends, manage PostgreSQL schemas and migrations, and leverage AI-assisted development tools with the critical judgment to push back on shortcuts that compromise long-term maintainability.

What you will do

Build and maintain scalable backend services (REST APIs) and responsive frontend interfaces using React and TypeScript.
Develop data-heavy application features that surface, validate, and resolve issues in data coming from data lakes, ETL pipelines, health-check logic, and model outputs.
Package and manage applications using Docker.
Use AI-assisted development tools to accelerate implementation while critically evaluating generated output and ensuring long-term maintainability.
Collaborate directly with client engineers to clarify functional and non-functional requirements and drive scalable technical solutions.
Work daily with client engineers through Slack and Google Meet.

Must haves

5–7 years of full-stack software development experience.
Strong proficiency in Python (FastAPI or Flask) and TypeScript/React.
Solid understanding of relational databases, including PostgreSQL and database migrations.
Comfortable working with REST APIs and migrating away from legacy GraphQL when needed.
Experience building or maintaining data-heavy applications with large datasets and performance-sensitive queries at the application layer.
Hands-on experience with AI-assisted development tools, combined with the ability to critically evaluate and challenge AI-generated solutions.
High comfort level working in a Mac/Linux terminal environment, including Bash and Makefiles.
Strong communication skills and the ability to defend technical decisions while balancing scalability, maintainability, and delivery needs.
Upper-intermediate English level.

Nice to haves

Exposure to object-storage-backed data lakes and serverless query engines such as S3 + Athena or comparable technologies (Trino/Presto, BigQuery, Spark SQL).
Familiarity with DAG-based task orchestration tools such as Airflow, Dagster, Prefect, or Step Functions.
Data engineering experience, including ETL pipelines, advanced SQL, data validation, and optimization.
Experience with caching or NoSQL systems such as Redis or DynamoDB.
Experience with monorepo tooling or modern package managers such as Nx, Poetry, or UV.
Familiarity with AWS Bedrock or similar AI/LLM SDKs.
Experience with marketing data structures, campaign management APIs, or digital advertising metrics.

Perks and benefits

Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
Well-being & support: access local well-being programs and people-focused support tailored to your location

Job Type: Full-time

Work Location: Remote

Candidatura rápida

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full stack developer (python) vagas

Senior Full Stack Developer ID71007

IT Infrastructure & Application Platform Support Engineer

Senior Solution Architect - LATAM

QA Automation Engineer - Remote Work

QA Manager - Remote Work

Lead AI Engineer — Productivity Systems

Lead AI Engineer — Productivity Systems

Lead AI Engineer — Productivity Systems

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