Job Duties Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software solutions. Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon, fault, velocity model, etc.) Present architectural designs and technical proposals to the architecture review board. Ability to break down development tasks and lay out clear implementation roadmaps. Implement and optimize computation algorithms Design and develop both thin and thick client applications that interact with cloud-based microservices. Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of DSG application. Mentor junior developers and actively contribute to architectural and implementation decisions. Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint Stay current with emerging technologies and trends in geophysical computing and software development. Qualifications BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. Minimum of5 years of experiencein scientific or geophysical software development. Ability to break down complex development tasks and define clear, actionable implementation roadmaps. Proficiency in programming languages: Java, C++. Proficiency with development tools and environments: GitLab,Eclipse,VS Code,CI/CD pipelines Draw.io for architecture diagrams Performance tools:VisualVM,JMC/JFR,Async Operating systems:WindowsandLinux Hands-on experience using GitHub Copilot to accelerate code implementation and enhance development productivity. Must be self-motivated but be able to work well in a team environment Desired Experience Knowledge with geophysical and seismic software tools and formats: SEG-Y, Landmark seismic BRICK, CMP, OpenVDS DSG, Petrel,Kingdom,GeoFrame, or PaleoScan Familiarity with cloud platforms and distributed computing: Restful API design and implementation AWS and Azure Tools for scalable data processing: Kubernetes, Spark Strong experience withJava 2D graphicsand3D OpenGLprogramming. Solid understanding of geophysical methods and data types, including Seismic, Fault, Horizon and Velocity modeling. Experience with scientific computing libraries and frameworks: Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) C++/Java: CUDA (for GPU acceleration) Angular or React Microservice: Quarkus, Spring Boot, AWS API Gateway Docker, Kubernetes Advanced awareness and understanding of AI technologies/tools Familiarity and understanding of modern cloud technologies and microservices Benefits We invest in our employees through competitive compensation plans, health benefits, work-life programs, and reward and incentive plans. We have the right people to develop the right technologies and bring innovative solutions to the industry – and we value those people as an unmatched competitive advantage. #J-18808-Ljbffr