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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. About the Role

You will help ensure the quality, accuracy, and usability of an AI-driven platform that automates complex geoscience and subsurface workflows. This role combines software quality assurance with domain expertise. You will work closely with software engineers, AI engineers, product owners, and geoscience experts to validate application functionality, AI-generated results, workflow automation, and overall user experience.

Success in this role requires both strong analytical skills and the ability to understand how geoscientists perform real-world work. You will help ensure the platform delivers technically correct, reliable, and valuable outcomes for users. You will support applications in the following domain: Geoscience - geology, geophysics, petrophysics, and subsurface modeling Job Duties

Develop and execute test plans, test cases, and validation scenarios

Validate end-to-end workflows across web applications, APIs, AI agents, and supporting services

Verify the quality and correctness of AI-generated outputs and workflow recommendations

Work with product owners and domain experts to define expected results and acceptance criteria

Identify, document, and track defects through resolution

Validate integrations between applications, services, AI agents, and external data sources

Participate in requirements reviews and help identify quality risks early in the development process

Perform functional, regression, integration, and user acceptance testing

Create and maintain test datasets representative of real geoscience workflows





Help establish quality standards and testing processes for AI-enabled applications

Use AI-assisted tools to improve testing, validation, documentation, and productivity Qualifications

Bachelor's degree in Geology, Geophysics, Petrophysics, Reservoir Engineering, Computer Science, or related discipline

5+ years of experience in quality assurance, software validation, product testing, or geoscience workflows

Experience testing web-based applications and APIs

Strong analytical and troubleshooting skills

Experience creating test plans, test cases, and validation procedures

Ability to investigate and clearly document defects and unexpected system behavior

Strong written and verbal communication skills

Experience using AI-assisted tools to improve productivity and quality-related activities Preferred

Experience working in geology, geophysics, petrophysics, interpretation, reservoir characterization, or related subsurface disciplines

Experience testing AI-powered applications

Experience validating AI-generated outputs or recommendations

Experience with Azure DevOps, TestRail, or similar quality management tools

Experience testing cloud-native applications and distributed systems

Experience writing SQL queries and validating application data

Familiarity with agentic AI concepts, LLMs, or workflow automation systems

Energy industry experience is a strong plus Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience,



and skill level, a variety of job opportunities might be available, Principal Software QA, and Technical Advisor QA.

How You

Work

You are naturally curious and detail-oriented. You enjoy understanding how users work and identifying situations where software behavior does not match business expectations. You are comfortable working with engineers and domain experts to determine whether a result is technically correct, operationally useful, and consistent with user expectations.

You communicate clearly, raise concerns early, and view quality as a shared responsibility across the team. You use AI-assisted tools effectively while maintaining independent judgment and validating results before they are accepted. Why Landmark

We are building an AI-driven platform that automates complex geoscience workflows through intelligent agents and specialized tools. As a QA Engineer / Geoscience SME, you will play a critical role in ensuring these systems deliver accurate, reliable, and trustworthy results. Your work will directly influence product quality, user confidence, and the successful adoption of AI-powered workflows across the geoscience domain.

Halliburton is an Equal Chance Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 700 9th Ave SW Suite 2000,Calgary,Alberta,T2P 3V4, Canada Job Details Requisition Number: 210374

Experience Level: Experienced Hire

Job Family: Engineering/Science/Technology

Product Service Line: Landmark Software & Services

Full Time / Part Time: Full-time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

📌 Geoscience Domain Specialist / QA Engineer - Landmark (Calgary)
🏢 Halliburton
📍 Calgary