QA Domain Tester

Job Description:
We are seeking a highly skilled QA Domain Tester with deep expertise in Geoscience, Geophysics, and Seismic data workflows to test and validate advanced subsurface software. This is not a traditional QA automation role-the priority is domain accuracy, seismic workflow validation, and ensuring scientific correctness within complex geoscience applications. Candidates with experience with client or competitors are strongly preferred due to the specialized nature of the work. Automation experience is optional; a dedicated automation team supports this function.

Responsibilities:

• Perform domain-centric manual testing of geophysical and geological software used in subsurface interpretation and modeling.
• Develop test plans, test scenarios, and detailed test cases based on real-world seismic and geoscience workflows.
• Validate end-to-end functionality across.
• Seismic data visualization and interpretation.
• Geological modeling.
• Mapping and coordinating workflows.
• Petrophysical and reservoir workflows.
• Subsurface computational algorithms.
• Ensure scientific accuracy of seismic calculations, workflows, and interpretation results.
• Identify and document defects clearly, providing domain context and reproduction steps.
• Work closely with product managers, developers, geophysicists, and domain experts to clarify functionality and test coverage.
• Collaborate with automation engineers when needed to ensure critical domain workflows are automated, without being responsible for writing automation scripts.
• Participate in release testing, regression testing, and domain signoff.

Requirements:

• Undergraduate degree in Computer Science, Geoscience, Geophysics, Petroleum Engineering, or related discipline.
• 2+ years of QA testing or software validation experience, ideally in geoscience or engineering domains.
• Strong domain expertise in:
• Seismic data.
• Geophysics concepts.
• Geological interpretation workflows.
• Experience writing structured test plans, test cases, and validation checklists.
• Strong analytical and problem-solving skills with attention to scientific detail.
• bility to validate complex workflows and interpret expected vs. actual scientific outcomes.
• Excellent written and verbal communication skills for cross-functional collaboration.

Preferred Qualifications (Nice-to-Have):

• Familiarity with testing tools such as Postman, Selenium, or similar (optional).
• Knowledge of CI/CD pipeline tools (e.g., GitLab Pipelines, GitHub Actions) and deployment frameworks such as Ansible or Flux-helpful but not required.
• Basic scripting or database querying skills for data verification.
• Strong understanding of software defect lifecycle and QA documentation protocols.

Key Attributes:

• Strong domain intuition: can immediately recognize inconsistencies in seismic or geological workflows.
• High attention to detail when evaluating subsurface results and scientific calculations.
• bility to think from an end user perspective (geoscientist, interpreter, geophysicist).
• Excellent documentation, communication, and collaboration abilities.