Job Description & How to Apply Below
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 Dev Ops, Test Rail, 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…
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