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.Job Duties
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.Key ResponsibilitiesDevelop and maintain end-to-end applications, including back-end services in PythonCollaborate with cross-functional teams to design and deliver scalable, high-quality solutionsOptimize and refactor existing code for performance and scalabilityTroubleshoot, debug, and resolve issues in applications and systemsStay current with trends in full-stack development, data visualization, and cloud technologiesMaintain strong knowledge of modern development tools, standards, and best practicesQualifications
Bachelor's degree in computer science, engineering, or a related technical field4+ years of professional software development experience (preferred)Strong proficiency in Python programmingHands-on experience with NumPy and PandasFamiliarity with back-end frameworks (e.g., FastAPI, Django) is a plusStrong understanding of data structures, algorithms, and statistical analysisStrong debugging, problem-solving, and analytical skillsAbility to work independently and collaboratively in a fast-paced environmentStrong communication skills in English (written and verbal)Knowledge, Skills, and Abilities
Master's degree in computer science, engineering, or a related technical fieldOptimization & Uncertainty Quantification: Strong knowledge on platforms for DOE, Bayesian optimization, surrogate modeling, sensitivity analysis, and robust optimization under uncertaintyAgentic 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 developmentExperience working in Agile/Scrum development environmentsSolid understanding of data structures, algorithms, and statistical analysisKnowledge of REST APIs and microservices architectureProficiency with Git and version-control best practicesExcellent analytical, debugging, and problem-solving skillsAbility to work independently and collaboratively in a fast-paced environmentStrong communication skills in English (written and verbal)Nice to HaveReservoir Simulation Expertise: Hands-on experience with compositional simulation, including case setup, input/output parsing, and history matching integrationCloud/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.LocationFully remote position.Job DetailsRequisition Number: 205558 Experience Level: Entry-LevelJob Family: Engineering/Science/TechnologyProduct Service Line: Landmark Software & Services Full Time / Part Time: Full-timeEmployee Group: TemporaryCompensation InformationCompensation is competitive and commensurate with experience.
