Lead Software Engineer, Reservoir Modelling & SaaS

HALLIBURTON ENERGY SERVICES (MALAYSIA) SDN. BHD.; Kuala Lumpur; On-site; MYR 387,000 - 516,000; Full time

Job summary

Landmark, a Halliburton company, is seeking a Subject Matter Expert Software Engineer for its Reservoir Centre of Excellence. The role focuses on reservoir modelling workflows and data-driven software solutions, collaborating with clients to deliver innovative applications that support improved asset decisions.

The ideal candidate combines reservoir engineering expertise with strong software development and Python proficiency, thriving in a Lean/Agile environment and across time zones.

Qualifications

• Good understanding of geological processes and reservoir engineering principles that control hydrocarbon reservoirs.
• Full reservoir modelling workflow and uncertainty; experience with geomodelling tools and commercial simulators.
• Experience from an E&P company or oilfield services is an advantage.
• Strong software engineering background.
• High proficiency with Python.
• Working knowledge of Git.
• Passionate about building tools for reservoir modelling, simulation and decision making.
• Desire to write maintainable production-grade code.
• Thrives in a Lean/Agile environment.

Responsibilities

• Develop data-driven applications for reservoir management software solutions.
• Collaborate with clients to develop new applications and solve real-world problems.
• Support deployment and growth of ensemble technology to improve decision making for assets.
• Enhance customers' use of technology and portfolio of applications.

Skills

Reservoir engineering

Python

Git

Software development

Reservoir modelling

Agile/Lean

Job description

Landmark, a Halliburton company, is seeking a Subject Matter Expert Software Engineer for its Reservoir Centre of Excellence. The role focuses on reservoir modelling workflows and data-driven software solutions, collaborating with clients to deliver innovative applications that support improved asset decisions.

The ideal candidate combines reservoir engineering expertise with strong software development and Python proficiency, thriving in a Lean/Agile environment and across time zones.