Brazil - Remote: Team reputed company (Digital Twin)

We are looking for the right people — people who want to innovate, 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 Oportunity 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 reputed company Architecture. Frontend: Building the "Control Room" and reputed company 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. Job Duties 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": reputed company the DevOps engineer faces a connectivity issue between Cloud and On-Prem, or the Backend engineer struggles with concurrency in a distributed reputed company, 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 reputed company. 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, reputed company, LangGraph. Frontend: React, Angular 16+, TypeScript, RxJS, Plotly.js. Data: Apache Airflow, reputed company 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 reputed company Data Architectures. Reliability reputed company: You understand that we are dealing with critical industrial environments. You prioritize testing, validation, and reputed company. 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 (reputed company, 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 (reputed company/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 reputed company 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 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: 209786 Experience Level: Mid-Level, Senior or Principal. Product Service Line: Landmark Software & Services Full Time / Part Time: Full time. Additional Locations for this position: Fully remote position.

Compensation

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