Brazil - Remote: Back-end / Scientific Developer

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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.