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

Technical Lead ID71009
AgileEngine —Remoto
- Tempo integral
- Home Office
- Gestão
- DevOps
- Inglês
Candidatura rápida
17 h
Lead AI Engineer — Productivity Systems
Nubank —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- APIs
- Inteligência artificial
- Python
- Vale-transporte
Candidatura rápida
Há 1 dia
Junior Data Engineer - Indaiatuba/SP
John Deere —Indaiatuba, SP
- Ciência da Computação
- DevOps
- Java
- Assistência médica
- Assistência odontológica
Manager, Americas Global Scaled Delivery, gTech Ads Sellside (English, Portuguese)
Google —São Paulo, SP
- Gestão
- PMP
- Design de Sistema
Há 13 dias
Security Engineering Manager (Cloud Security)
Nubank —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Bar
- Inglês
- Inteligência artificial
- Vale-transporte
Candidatura rápida
Há 1 dia
Senior Site Reliability Engineer Lead
HCLTech —São Leopoldo, RS
- Ciência da Computação
- Azure
- Oracle
System Administrator
Alchemy Cloud —Belo Horizonte, MG
- Inglês
- Scripting
- Python
Remote - Middle to Senior Python Developer - (Sports Team)
Torrero —Rio Grande do Sul
- Tempo integral
- Home Office
- Inglês
- SQL
- Inteligência artificial
Candidatura rápida
Remote - Middle to Senior Python Developer - (Core Team)
Torrero —Rio Grande do Sul
- Tempo integral
- Home Office
- Inglês
- SQL
- Inteligência artificial
Candidatura rápida

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Technical Lead ID71009

AgileEngine -
Remoto

Candidatura rápida

Detalhes da vaga

Tempo integral
Há 17 horas

Qualificações

Gestão
Data Lake
React
DevOps
Estrutura de Dados
Certificação AWS
NoSQL
Inglês
Banco de Dados
Docker
PostgreSQL
Redis
REST
APIs
S3
GraphQL
Inteligência artificial
Liderança
Python
Marketing

Descrição completa da vaga

About the role

We are looking for a Technical Lead to drive end-to-end application engineering for a large-scale marketing analytics platform, acting as the primary gatekeeper for code quality and architecture as complex logic and AI features are embedded into an existing system. You will review all PRs, design and deploy containerized Python and React applications via REST APIs, integrate data-heavy backends and AI feature outputs without disrupting existing workflows, and lead a team of senior developers aligned to client engineering standards.

What you will do

Review all PRs and enforce code quality standards, preventing spaghetti code and scope creep.
Design and deploy containerized applications using REST APIs.
Embed complex logic, AI features, and outputs from data-heavy backends into the platform without disrupting existing workflows.
Collaborate with DevOps on the client's AWS data stack, including an S3-backed data lake, Athena, and EKS/Kubernetes, and clarify functional and non-functional requirements.
Guide senior developers and ensure alignment with the client's engineering practices.
Lead end-to-end application engineering while maintaining high standards for architecture, scalability, and maintainability.
Set standards for responsible use of AI-assisted development tools and identify risky AI-driven shortcuts during PR reviews.

Must haves

7+ years of full-stack engineering experience with a strong track record of architectural ownership.
Strong production experience with Python, including FastAPI or Flask.
Solid TypeScript/React experience.
Experience with REST APIs, including migrating away from legacy GraphQL endpoints where needed.
Hands-on experience with Docker and PostgreSQL, including database migrations.
Experience building or maintaining data-heavy applications with large payloads or datasets and performance-sensitive application-layer queries.
Working familiarity with AWS S3, Athena, and EKS/Kubernetes concepts, sufficient to drive DevOps conversations and understand how data reaches the application.
Awareness of DAG-based task orchestration tools such as Airflow, or comparable orchestration engines.
Strong experience working in Mac/Linux terminal-centric environments, including Bash and Makefiles.
Practical, hands-on use of AI-assisted development tools such as Claude Code, with the critical judgment to assess AI-generated output and maintain long-term code quality.
Strong technical communication and leadership skills, with the ability to defend technical decisions, challenge unsustainable quick fixes, and balance maintainability with pragmatic delivery.
Upper-Intermediate English level.

Nice to haves

Production experience with Athena, S3-based data lakes, or Airflow.
Production experience implementing AI features using AWS Bedrock, LangChain, Pydantic AI, or similar technologies.
Experience with monorepo tooling such as Nx or modern package managers such as Poetry, UV, or Yarn.
Experience with NoSQL or caching layers such as Redis.
Exposure to OLAP-style analytics tools such as Trino/Presto, ClickHouse, or SageMaker.
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

Technical Lead ID71009

Lead AI Engineer — Productivity Systems

Junior Data Engineer - Indaiatuba/SP

Manager, Americas Global Scaled Delivery, gTech Ads Sellside (English, Portuguese)

Security Engineering Manager (Cloud Security)

Senior Site Reliability Engineer Lead

System Administrator

Remote - Middle to Senior Python Developer - (Sports Team)

Remote - Middle to Senior Python Developer - (Core Team)

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