Brazil - Remote: Back-end / Scientific Developer (Rio de Janeiro, RJ, BR, 291941

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

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)