puestos de Talent en Brasil

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.

• 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.

• Technical Orchestration: Drive cross‑boundary architectural decisions. 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. 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 translate high‑level product requirements into technical tasks (ADO) for the squad.

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: Angular 16+, TypeScript, RxJS, Plotly.js.
• Data: Apache Airflow, Delta Lake, Polars/Spark.
• Infrastructure: Kubernetes (EKS/AKS/K3s), Terraform, Hybrid Cloud.

• The Architect‑Implementer: Draw the system architecture on a whiteboard, then dive into an IDE to debug a failing pipeline or a slow query.
• The Polyglot: A Backend or Full‑Stack native who comprehends Frontend state management (NgRx/Signals) and Medallion Data Architectures.
• Reliability Mindset: Prioritize testing, validation, and security in critical industrial environments.

• 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 (ETL, Streams, or Data Lakes).
• Familiarity with DevOps/Cloud concepts (Docker, Kubernetes, CI/CD).
• Advanced English communication skills.

• 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.

Rua Paulo Emidio Barbosa 485 Q, Rio de Janeiro, Rio de Janeiro, 291941, Brazil

• Requisition Number: 205560
• Experience Level: Entry‑Level
• 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.
• Job Segment: Cloud, Testing, Manager, SQL, Database, Technology, Management