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Brazil - Remote: Back-end / Scientific Developer

Halliburton -
Rio de Janeiro, RJ

Candidate-se Agora

Detalhes da vaga

Meio período | Tempo integral

Qualificações

TensorFlow
Ciência da Computação
Azure
Ciência da Computação
Desenvolvimento Full Stack
Estrutura de Dados
NumPy
Certificação AWS
NoSQL
Git
Inglês
Pesquisa
Mestrado
Banco de Dados
Microservices
SQL
Pandas
Análise Estatística
Graduação
Machine Learning
REST
Scrum
Desenvolvimento de Software
APIs
Certificação Scrum Master
Agile
Visualização de Dados
Inteligência artificial
Python
Debug

Descrição completa da vaga

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.

Candidate-se Agora

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full stack developer (python) vagas

Brazil - Remote: Back-end / Scientific Developer

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