Geoscience Domain Specialist / QA Engineer - Landmark

Halliburton•Calgary, AB

6d•Onsite

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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