Summary: Seeking a technical leader to orchestrate complex systems merging real-time physics, structured knowledge, and autonomous AI for the global energy industry. Highlights: 1. Drive cross-boundary architectural decisions in a cutting-edge platform. 2. Mentor senior developers and enforce high quality standards across the stack. 3. Lead technical solutions in critical industrial environments. 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. **Job Duties** -------------- 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. **Qualifications** ------------------ **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:** 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** ------------------------------------ * **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** Rua Paulo Emidio Barbosa 485 Q, Rio de Janeiro, Rio de Janeiro, 291941, Brazil **Job Details** **Requisition Number:** 205555 **Experience Level:** Entry\-Level **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.