Brazil - Remote: Tech Lead

Halliburton Energy Services; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A global energy solutions provider is seeking a Senior Software Engineer in Rio de Janeiro to oversee the integration of backend systems with frontend dashboards, ensuring high quality standards across platforms. The ideal candidate will have over 10 years of experience in software engineering, strong skills in Python, architectural decision-making, and team leadership. This role involves mentoring senior developers and requires advanced English communication skills. Join a dynamic team that empowers innovation and excellence.

Qualificações

• 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, Data Lakes).
• Familiarity with DevOps/Cloud concepts.

Responsabilidades

• Drive cross-boundary architectural decisions and technical orchestration.
• Enforce high standards across the stack and review API designs.
• Guide solutions for backend and dev ops connectivity issues.
• Conduct code reviews and mentor senior developers.

Conhecimentos

Python Backend Development

Streaming Technologies (Kafka, Flink, Spark)

DevOps/Cloud (Docker, Kubernetes, CI/CD)

Frontend complexity (SPA architecture, async data loading)

Advanced English communication skills

Formação académica

Bachelor's degree in Computer Science, Engineering, or related

Ferramentas

FastAPI

Graph Databases (Neo4j/Cypher)

Descrição da oferta de emprego

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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

Complete Bachelor's degree in Computer Science, Engineering, or related.

• 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 L