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Encora • Mexico
Role & seniority: Senior Quality Analyst (domain: geoscience); remote, full-time
Stack / tools: Windows & Linux; Azure DevOps; OpenWorks/Oracle data; GitLab (CI/CD); automation tools; Agentic AI
Design, document, and execute tests for new feature functionality; manage manual regression suite
Estimate testing efforts; validate defect fixes; identify risks and report status
Manage automation backlog; collaborate with automation engineers to improve test coverage; create synthetic data
7+ years of experience; hands-on QA in Agile environments
Proficiency with Windows/Linux; strong defect management and test case execution
Experience with automation tools, CI/CD concepts, and open data/databases (OpenWorks/Oracle)
Communication skills; ability to coach junior team members; cross-functional collaboration
Experience with Landmark products; familiarity with Azure DevOps for test planning
OpenWorks/Oracle project data management
Knowledge of data synthesis, performance testing, and reliability metrics
Location & work type: Remote, full-time position; global collaboration with Europe, Canada, and the US
Note: Role title in summary reflects the job description’s stated focus on quality assurance and geoscience domain experience.
Senior Software Engineer Important Information
Experience: +7 years
Job Mode: Full-time
Work Mode: Remote
ID: 19518 Job Summary 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 and Duties 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 Qualifications and Skills 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 Desired Experience 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 About Encora Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.