Brazil - Remote: Back-end / Scientific Developer
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. Apply To This Job