Principal Software Application Architect - Landmark

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., Landmark provides E&P professionals with software-driven lifecycle insights that generate new ideas, actions, and results to maximize asset value. We are seeking a highly skilled and experienced Senior Geophysical Application Developer to lead the design, development, and optimization of advanced software solutions for geophysical data processing, modeling, visualization and interpretation. In this role, you will collaborate closely with geoscientists to create innovative tools that enhance data-driven decision-making through powerful visualization and interpretation capabilities. You will also collaborate with global development teams across Europe, Canada, and the United States, contributing to a dynamic and international engineering environment., * Strong understanding of software, hardware and cloud related emerging technologies and trends in geoscience and scientific related computing and software development.

• Strong understanding of software development design architecture.
• 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.)
• Lead architectural reviews with teams
• 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, At Halliburton, we’re committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future. When you join our team, you’ll have access to a wide range of resources designed to help you thrive at work and at home. By clicking here, you can review a summary of the benefits available once you join.

• Hands-on experience using Agentic AI to accelerate code implementation and enhance development productivity.
• BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline.
• Minimum of 14 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 developing thick-client applications
• Must be self-motivated but be able to work well in a team environment

Nice to have 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:
• Creating Microservices
• 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

Compensation is competitive and commensurate with experience.