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

Brazil - Remote: Engineering Team Lead (Digital Twin)
Halliburton —Rio de Janeiro, RJ
- Meio período
- Home Office
- Azure
- Gestão
- DevOps
System Administrator
Alchemy Cloud —Belo Horizonte, MG
- Inglês
- Scripting
- Python
Lead AI Engineer — Productivity Systems
Nubank —Belo Horizonte, MG
- Tempo integral
- Modelo Híbrido
- APIs
- Inteligência artificial
- Python
- Vale-transporte
Candidatura rápida
Há 10 dias
Head of Quant
NEXT Ventures —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Banco de Dados
- C++
- Graduação
Candidatura rápida
[Job- 29227] Senior Salesforce & Fullstack Engineer (Cloud Communications), Brazil
CI&T —Remoto
- Tempo integral
- Home Office
- CRM software
- Ciência da Computação
- Salesforce
Candidatura rápida
Senior Forward Deployed Engineer - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
- Azure
- Gestão
- Ciência da Computação
Manager, Americas Global Scaled Delivery, gTech Ads Sellside (English, Portuguese)
Google —São Paulo, SP
- Gestão
- PMP
- Design de Sistema
PL Data Engineer - Indaiatuba/SP
John Deere —Indaiatuba, SP
- Ciência da Computação
- Inglês
- Java
- Assistência médica
- Assistência odontológica
Security Engineering Manager (Cloud Security)
Nubank —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Bar
- Inglês
- Inteligência artificial
- Vale-transporte
Candidatura rápida
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
DevOps Engineer (f/m/d)
Awin —Rondônia
- Home Office
- Ciência da Computação
- Azure
- Ciência da Computação

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Brazil - Remote: Engineering Team Lead (Digital Twin)

Halliburton -
Rio de Janeiro, RJ

Candidate-se Agora

Detalhes da vaga

Meio período | Tempo integral

Qualificações

Azure
Gestão
React
DevOps
Certificação AWS
Inglês
Banco de Dados
Docker
JavaScript
Neo4j
Terraform
Angular
APIs
ETL
Apache
Kafka
Inteligência artificial
Liderança
Banco de Dados Gráfico
Python

Descrição completa da vaga

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

The Opportunity

We are building a platform that merges real-time physics, structured knowledge, and autonomous intelligence. You will be the technical anchor for a team of Senior Engineers handling:

Backend: Ingesting massive sensor streams and running multi-agent AI systems.

Data: Organizing tons of industrial data into a Medallion Architecture.

Frontend: Building the "Control Room" and complex AI interfaces.

DevOps: Deploying across hybrid cloud (AWS/Azure) and edge (K3s) environments.

Your challenge is to ensure these distinct pieces fit together. ensuring the backend model is consumable by the frontend’s "Visualizations" and that the "Data Pipelines" are reliably deployed by DevOps.

What You’ll Do

Technical Orchestration: You will drive cross-boundary architectural decisions. You will decide how the Backend serves live telemetry to Frontend dashboards and how Data Engineering pipelines feed the Knowledge Graph.
Code & Quality Standards: Enforce high standards across the stack. You will review API designs (FastAPI), ensure the Frontend maintains strict Component Architecture, and verify that Data pipelines implement appropriate quality gates.
The "Expert": When the DevOps engineer faces a connectivity issue between Cloud and On-Prem, or the Backend engineer struggles with concurrency in a distributed stream, you are the senior voice in the room, guiding the solution.
Team Leadership: Conduct code reviews, mentor senior developers, and translating high-level product requirements into technical tasks (ADO) for the squad.

The Technology Stack

You do not need to be an expert in every single tool, but you must be able to discuss technical trade-offs across the entire stack:

Backend: Python 3.12+ (FastAPI), Kafka, Neo4j, LangGraph.
Frontend: React, Angular 16+, TypeScript, RxJS, Plotly.js.
Data: Apache Airflow, Delta Lake, Polars/Spark.
Infrastructure: Kubernetes (EKS/AKS/K3s), Terraform, Hybrid Cloud

Desired Profile

The Architect-Implementer: You can draw the system architecture on a whiteboard, but you are not afraid to open an IDE to debug a failing pipeline or a slow query.
The Polyglot: You are likely a Backend or Full-Stack native, but you understand the complexity of Frontend state management (NgRx/Signals) and the constraints of Medallion Data Architectures.
Reliability Mindset: You understand that we are dealing with critical industrial environments. You prioritize testing, validation, and security.

Knowledge, Skills, and Abilities

Must Haves:

10+ years of experience in Software Engineering, with at least 2+ years leading technical teams.
Deep proficiency in Python Backend Development.
Solid understanding of Frontend complexity (SPA architecture, async data loading).
Experience designing or managing Data Intensive Applications (understanding ETL, Streams, or Data Lakes).
Familiarity with DevOps/Cloud concepts (Docker, Kubernetes, CI/CD).
Advanced English communication skills.

Good to Have:

Streaming: Proficiency with Streaming Technologies (Kafka, Flink, Spark) and Time-Series Databases (TimescaleDB, InfluxDB).
GenAI: Practical experience building applications with LLMs, Agentic Frameworks (LangGraph), and Vector Databases.
Graph: Hands-on experience with Graph Databases (Neo4j/Cypher), SQL database design, and Hybrid Search strategies
Experience with Digital Twins, IoT, or Industrial Data.
Experience with GenAI/LLM architecture (RAG, Agents).
Background in Heavy Industry, O&G, or IoT data (MQTT, OPC UA).
Experience with Local LLMs (Ollama) for privacy-focused deployments.
Familiarity with Data Lineage or Metadata management.

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

Fully remote position.

Job Details

Requisition Number: 209781
Experience Level: Mid-level, Senior or Principal.
Job Family: Engineering/Science/Technology
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full-time

Compensation Information
Compensation is competitive and commensurate with experience.

Candidate-se Agora

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full stack developer (python) vagas

Brazil - Remote: Engineering Team Lead (Digital Twin)

System Administrator

Lead AI Engineer — Productivity Systems

Head of Quant

[Job- 29227] Senior Salesforce & Fullstack Engineer (Cloud Communications), Brazil

Senior Forward Deployed Engineer - QuantumBlack Studio

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

PL Data Engineer - Indaiatuba/SP

Security Engineering Manager (Cloud Security)

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

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

DevOps Engineer (f/m/d)

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