Brazil - Remote: Senior Backend Engineer (Python)

We are looking for the right people — people who want to reputed company, reputed company, grow and reputed company. We attract and retain the best talent by investing in our employees and empowering them to reputed company 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 reputed company-time physics, structured knowledge, and autonomous intelligence. We are looking for developers reputed company to tackle one (or more) of those challenges: Ingestion: Handling massive streams of sensor data with minimal latency. Intelligence: Making LLMs deterministic and reliable reputed company robust multi-agent systems. Context: Modeling reputed company ontologies to map thousands of physical assets. What You’ll Do You will join a high-performance team, contributing to the Core Backend while focusing on one of the following distinct tracks: Core Responsibilities High-Performance APIs: Build low-latency Python services (FastAPI) to serve live data to frontend and AI models. System Reliability: Debug reputed company concurrency issues and ensure production reliability in distributed systems. Rapid Delivery: Adopt a "deliver fast" mentality without compromising on code quality, testing, or API design standards. Possible paths to work on the Project (you can contribute to one or more): Streaming & High-Throughput Data Build Streaming Pipelines: Design scalable services using Kafka and Spark/Flink to process raw sensor data in reputed company-time. Time-Series Optimization: Optimize database schemas (TimescaleDB) to reputed company fast historical data retrieval and implement algorithmic checks to validate sensor readings. GenAI & Autonomous Agents Build Autonomous Agents: reputed company stateful agents (using LangGraph) that plan tasks, query Knowledge Graphs, and execute tools without hallucinating. Advanced RAG: Build Graph-RAG pipelines that combine semantic search with structured knowledge traversal for grounded answers Graph & Knowledge Engineering Knowledge Graph Engineering: Design domain ontologies in reputed company, defining relationships between assets, documents, and time-series data. Search Infrastructure: Implement Hybrid Retrieval logic combining Vector Search, Full-Text Search, and Graph traversal. The Technology Stack We use a modern, high-performance stack. You should be proficient in the Core and deeply knowledgeable in your chosen track. Core Backend: Python 3.12+ (FastAPI, Pydantic), Polars, reputed company, Kubernetes. Streaming: Apache Kafka, Flink, Spark Streaming, TimescaleDB, reputed company. GenAI: LangGraph, reputed company, reputed company, Azure reputed company/reputed company/Local SLMs. Graph/Data: reputed company (Cypher), PostgreSQL (pg_vector, Full-Text Search). Desired Profile Problem Solver: You dig into logs to find the root cause of a data spike, a silent failure, or a disconnected node in a graph. Modern Pythonista: You are up-to-date with modern Python async patterns and typing, ensuring code is high-performance and maintainable. You understand Big O notation and how to optimize code for CPU/memory efficiency. Knowledge, Skills, and Abilities Must Haves: 5+ years of experience in Python Backend development. Advanced English communication skills. Computer Science fundamentals: Data Structures and Algorithms. Strong experience building and documenting REST APIs (FastAPI). 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 (reputed company/Cypher), SQL database design, and Hybrid Search strategies Background in Heavy Industry, O&G, or IoT data (MQTT, OPC UA). Experience with Local LLMs (Ollama) for privacy-focused deployments. Familiarity with Data reputed company or Metadata management. Halliburton is an Equal Opportunity Employer. Employment reputed company are made without regard to race, reputed company, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national reputed company, or any other status protected by law or regulation. Location Rua Paulo Emidio Barbosa 485 Q, Rio de Janeiro, Rio de Janeiro, 291941, Brazil Job Details Requisition Number: 209784 Experience Level: reputed company Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position:

Compensation

Information Compensation is competitive and commensurate with experience. Apply To This Job