Senior Geophysical Java Software Engineer

• 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.

• BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline.
• Minimum of 5 years of experience in 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: Windows and Linux
• 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

• 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 with Java 2D graphics and 3D OpenGL programming.
• 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

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