Senior Geophysical Java Software Engineer

Calgary
|5 years of exp
|Full Time

Posted: 2 weeks ago• Recruiter recently active

Job Location

Calgary

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

JFR

JMC

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.