巴西 - 远程：后端/科学开发工程师（里约热内卢，RJ，BR，291941）
Brazil - Remote: Back-end / Scientific Developer (Rio de Janeiro, RJ, BR, 291941
我们寻找合适的人选——那些希望创新、成就、成长和领导的人。我们通过投资员工并赋予他们自我发展和职业发展的能力，吸引并留住最优秀的人才。体验在全球最大的能源行业产品和服务提供商之一工作的挑战、回报和机遇。
职位描述
我们正在寻找一名后端开发人员，具备扎实的编程技能和科学计算的基础，以构建和优化数据驱动的应用程序。在此职位中，您将设计和实现处理和分析复杂数据集的稳健后端系统，从而实现高级分析和实时洞察。
您将与跨职能团队合作，交付可扩展、高性能的解决方案，以支持动态环境中的研究和创新。
工作职责
在一般监督下，协助设计、编码、测试、排查故障和编写工程系统应用的文档。参与中等规模和复杂度的项目。开发者应具备使用常见工具和流程进行系统设计、编码、测试、排查故障和编写文档的经验。协助制定用于这些系统自动化回归测试的测试策略。遵循安全编码实践，对安全问题进行分类，并实施修复以交付安全的应用程序。熟悉常见的软件漏洞及缓解措施。应具备研究开源技术用于构建系统的能力，并根据需要参与开源社区。制定任务/分配和项目工作的计划。需要完成计算机科学或相关专业的本科学位，以及2年以上的相关经验。
主要职责
- 开发和维护端到端的应用程序，包括Python后端服务
- 与跨职能团队合作，设计和交付可扩展、高质量的解决方案
- 优化和重构现有代码以提高性能和可扩展性
- 排查、调试并解决应用程序和系统中的问题
- 跟踪全栈开发、数据可视化和云技术的趋势
- 保持对现代开发工具、标准和最佳实践的深入了解
资格要求
- 计算机科学、工程或相关技术领域的学士学位
查看英文原文
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.
About the Role
We are seeking a Back-end Developer with strong programming skills and a solid foundation in scientific computing to build and optimize data-driven applications. In this role, you will design and implement robust backend systems that process and analyze complex datasets, enabling advanced analytics and real-time insights.
You will collaborate with cross-functional teams to deliver scalable, high-performance solutions that support research and innovation in a dynamic environment.
Job Duties
Under general supervision, assists in designing, coding, testing, trouble-shooting and documenting engineering systems applications. Works on projects of moderate scope and complexity. The developer will be expected to have experience of common tools and processes used to design, code, test, trouble-shoot, document engineering systems applications. Assists in developing test strategies used in the automated regression testing of these systems. Follows secure coding practices, performs triaging of security issues, and implements fixes to deliver secure applications. Familiar with common software vulnerabilities and leading practices to mitigate. Should have the ability to research open source technologies for use in building systems and participate in open source communities as needed. Develops tasks/assignments and schedules for project work. Requires completion of an undergraduate degree in Computer Science or similar discipline, and 2 + years of related experience.
Key Responsibilities
- Develop and maintain end-to-end applications, including back-end services in Python
- Collaborate with cross-functional teams to design and deliver scalable, high-quality solutions
- Optimize and refactor existing code for performance and scalability
- Troubleshoot, debug, and resolve issues in applications and systems
- Stay current with trends in full-stack development, data visualization, and cloud technologies
- Maintain strong knowledge of modern development tools, standards, and best practices
Qualifications
- Bachelor's degree in computer science, engineering, or a related technical field
- 4+ years of professional software development experience (preferred)
- Strong proficiency in Python programming
- Hands-on experience with NumPy and Pandas
- Familiarity with back-end frameworks (e.g., FastAPI, Django) is a plus
- Strong understanding of data structures, algorithms, and statistical analysis
- Strong debugging, problem-solving, and analytical skills
- Ability to work independently and collaboratively in a fast-paced environment
- Strong communication skills in English (written and verbal)
Preferred Skills
- Master's degree in computer science, engineering, or a related technical field
- Optimization & Uncertainty Quantification: Strong knowledge on platforms for DOE, Bayesian optimization, surrogate modeling, sensitivity analysis, and robust optimization under uncertainty
- Agentic AI & LLM Integration: Ability to design workflows using LLMs for experiment planning, tool orchestration, and explainable recommendations, including prompt engineering and safety guardrails.
- Experience in the Oil & Gas industry (nice to have)
- Experience with machine learning frameworks (TensorFlow, Scikit-learn)
- Knowledge of SQL/NoSQL databases and query development
- Experience working in Agile/Scrum development environments
- Solid understanding of data structures, algorithms, and statistical analysis
- Knowledge of REST APIs and microservices architecture
- Proficiency with Git and version-control best practices
- Excellent analytical, debugging, and problem-solving skills
- Ability to work independently and collaboratively in a fast-paced environment
- Strong communication skills in English (written and verbal)
Nice to Have
- Reservoir Simulation Expertise: Hands-on experience with compositional simulation, including case setup, input/output parsing, and history matching integration
- Cloud/HPC Computing: Familiarity with scheduling, parallel runs, resource optimization on HPC clusters or cloud platforms (Azure/AWS/GCP)
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: 209782
Experience Level: Mid-level, Senior or Principal.
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.
Originally posted on Himalayas