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Luxoft • Calgary, Alberta, Canada
Role & seniority: Senior Quality Analyst with geoscience domain experience
Agentic AI for productivity
Landmark’s suite (nice-to-have)
OpenWorks/Oracle project data management (nice-to-have)
Azure DevOps (defect reporting, test cases) (nice-to-have)
CI/CD concepts and tools (e.g., GitLab) (nice-to-have)
Windows and Linux platforms
QA: manual testing, regression suites, test automation collaboration
Estimate software testing efforts from technical specs; design, document, and execute tests for new features; manage manual regression suite
Identify defects/usability issues, validate fixes, and measure product stability via test results and defect metrics
Manage automation backlog with automation engineers, create synthetic data, and support performance testing across varying hardware
Hands-on use of Agentic AI to accelerate productivity
Degree in Geology, Geophysics, Computer Science, or related engineering field (BS/MS)
Proficiency on Windows and Linux
Self-motivated, able to work in a distributed/global team
Team player capable of coaching juniors and collaborating cross-functionally
Strong written and verbal communication
Experience with Landmark products
Azure DevOps for defect reporting and test case management
OpenWorks/Oracle data handling
Familiarity with CI/CD tools (GitLab) and Agile environments
Softwar
Project description One of the world's leading providers of products and services to the global energy industry. With a presence in more than 70 countries and 130 nationalities represented in our workforce, we are one of the world's most diverse companies. This allows us to offer multiple career paths, best-in-class training, and world-class benefits. Our product provides E&P professionals with software-driven lifecycle insights that generate new ideas, actions, and results to maximize asset value. We are looking to recruit a highly skilled and experienced Senior Quality Analyst with geoscience domain experience to work with global development teams from Europe, Canada, and the US. You will be involved in ensuring software quality, reliability, and user satisfaction throughout the entire development process, from initial planning through deployment and post-delivery support to the client. You will collaborate closely with all members of the Agile development team to ultimately deliver a low-risk, high-quality software solutions Responsibilities Estimation of software testing efforts based on technical specifications Providing input to improve product effectiveness, integration and usability Creating, documenting and executing software tests for the acceptance of new feature functionality Execution and management of the manual regression test suite Identification of software defects and usability issues in the development and stability cycles of the software Validating defect fixes Managing the automation backlog for the product; working with automation engineers to improve auto test coverage Creating synthetic data and organizing client project data within the OpenWorks/Oracle database Designing and executing tests which measure the performance of the software given varying hardware specifications Measuring and reporting stability of the product via test suite results and defect inflow/outflow Identifying and escalating project risks Skills Must have Hands-on experience using Agentic AI to accelerate productivity. BS or MS in Geology, Geophysics, Computer Science or related Engineering discipline Proficient with both Windows and Linux platforms Must be self-motivated but be able to work well in a distributed team environment
Team player: willing to coach junior team members and cooperate on cross-functional problem-solving Good written and verbal skills Nice to have Previous experience with Landmark's suite of products Knowledge of Azure DevOps for defect reporting and test case creation/execution OpenWorks/Oracle project data management Familiarity with CI/CD principles and tools technologies, i.e. GitLab Software development experience Working in an Agile development environment Hands-on experience using automation tools for quality assurance