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Halliburton
Actively Hiring
Provides products/services to the energy industry

Senior Geophysical Java Software Engineer

Posted: 1 week ago• Recruiter recently active
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
C++
Java
Linux
Eclipse
Windows
Gitlab
Draw.Io
VisualVM
Async
VS Code
CI/CD Pipelines
GitHub Copilot
JMC/JFR

About the job

Job description:

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 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

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 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

Profile description:

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 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

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 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

We offer:

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.

About the company

Halliburton company logo

Halliburton

Actively Hiring
Provides products/services to the energy industry5000+ Employees
Company Size
5000+
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