Senior Software QA Engineer

Responsibilities

• Lead end-to-end performance engineering activities for the DecisionSpace Geosciences (DSG) product suite
• Design, develop, maintain, and execute performance, scalability, endurance, stress, and benchmark tests for DSG applications
• Validate application performance across functional areas including Geology, Geophysics, Velocity Modeling, Dynamic Frameworks to Fill, Scalable Earth Modeling, Seismic Engine, and AHI
• Develop realistic customer workflows and datasets that accurately represent production environments
• Analyze application response times, throughput, resource utilization, and system bottlenecks
• Work closely with software developers to identify root causes of performance issues and validate performance improvements
• Partner with SRE teams to evaluate application behavior in cloud and enterprise deployments and recommend performance tuning opportunities
• Collaborate with Customer Support and Customer Account teams to reproduce customer-reported performance issues, analyze production scenarios, and validate fixes
• Develop and maintain automated performance test suites using TestArchitect
• Build reusable automation frameworks for regression and performance validation
• Execute performance regression testing for every release and ensure no degradation is introduced
• Produce detailed performance reports, trend analyses, dashboards, and executive summaries
• Participate in release readiness reviews and provide performance certification for software releases
• Identify opportunities to improve testing processes, automation coverage, and engineering efficiency
• Mentor junior QA and automation engineers on performance engineering best practices

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Geoscience, or a related technical discipline
• 10+ years of software QA and performance engineering experience with deep domain knowledge of Landmark DecisionSpace Geosciences (DSG)
• Extensive experience designing and executing performance testing, load testing, stress testing, scalability testing, endurance (soak) testing, and performance regression testing
• Proven experience using TestArchitect for test automation and execution
• Strong understanding of performance analysis methodologies and bottleneck identification
• Experience analyzing application logs, system metrics, CPU, memory, storage, networking, and database performance
• Ability to investigate complex software performance issues and provide actionable recommendations
• Excellent analytical, troubleshooting, and problem-solving skills
• Strong verbal and written communication skills with the ability to present findings to technical and non-technical stakeholders
• Preferred: Experience working with cloud-based deployments (AWS, Azure, or hybrid environments)
• Preferred: Experience using performance monitoring and observability tools such as New Relic, Dynatrace, Grafana, Prometheus, or similar platforms
• Preferred: Experience working with large geoscience datasets and enterprise customer environments
• Preferred: Understanding of software release management and DevOps practices

Skills