Brazil - Remote: Tech Lead

Halliburton; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading global energy services company is searching for a technical leader with over 10 years of experience in Software Engineering. The role focuses on backend and frontend integration, managing data pipelines, and driving architectural decisions. The ideal candidate exhibits strong proficiency in Python, has significant experience with cloud technologies, and holds advanced English communication skills. This fully remote position provides competitive compensation, aiming to enhance the company’s innovative capabilities in the energy sector.

Qualificações

• 10+ years of experience in Software Engineering, with at least 2+ years leading technical teams.
• Familiarity with Streaming Technologies (Kafka, Flink, Spark).
• Hands-on experience with Graph Databases (Neo4j/Cypher).

Responsabilidades

• Drive cross-boundary architectural decisions and the orchestration of systems.
• Enforce high standards across the stack and review API designs.
• Conduct code reviews and mentor senior developers.

Conhecimentos

Python Backend Development

Frontend complexity (SPA architecture, async data loading)

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

Advanced English communication skills

Ferramentas

Kafka

Neo4j

FastAPI

Angular 16+

Apache Airflow

Terraform

Descrição da oferta de emprego

Overview

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:

1. Backend: Ingesting massive sensor streams and running multi-agent AI systems.
2. Data: Organizing tons of industrial data into a Medallion Architecture.
3. Frontend: Building the \'Control Room\' and complex AI interfaces.
4. 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 translate high-level product requirements into technical tasks (ADO) for the squad.

Qualifications

• 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.

Knowledge, Skills, and Abilities

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.

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

Fully Remote position.

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
Employee Group: Temporary

Compensation Information
Compensation is competitive and commensurate with experience.