Platform Performance Test Engineer

About the role

Seeking a skilled Performance Test Engineer to design, execute, and analyze performance tests for ArcGIS Pro-based environments. The role involves establishing performance baselines and benchmarks for GIS workflows, evaluating system responsiveness, scalability, resource utilization, and overall platform performance, and collaborating with engineering, infrastructure, development, and architecture teams to resolve identified issues.

Responsibilities

• Design and execute performance, load, stress, endurance/soak, scalability, and baseline testing.
• Establish platform performance baselines with ArcGIS Pro installed and configured.
• Define performance benchmarks and acceptance criteria for GIS operations.
• Develop workload models simulating concurrent users and realistic GIS usage patterns.
• Measure and analyze performance across key GIS workflows, including:
  • Map opening and rendering
  • Zoom in / Zoom out
  • Panning across large datasets
  • Feature editing and saving
  • Layer refresh and redraw
  • Attribute queries and searches
  • Geoprocessing execution
  • Spatial analysis operations
  • Data synchronization and retrieval
• Create and maintain performance test scripts using LoadRunner Enterprise and Apache JMeter.
• Automate performance test execution, monitoring, and reporting.
• Integrate performance testing into CI/CD pipelines where applicable.
• Build reusable performance testing frameworks and assets.
• Monitor client-side and server-side performance metrics during test execution.
• Analyze response times, CPU utilization, memory utilization, disk utilization, network utilization, rendering performance, and transaction throughput.
• Identify performance bottlenecks related to ArcGIS Pro processing, network latency, data layers and services, infrastructure limitations, and client workstation performance.
• Use monitoring and profiling tools to identify root causes of performance issues.
• Create detailed performance assessment reports and dashboards.
• Present performance findings, trends, risks, bottlenecks, and recommendations.
• Collaborate with GIS engineers, infrastructure teams, developers, and architects.
• Participate in root cause analysis and performance tuning activities.
• Provide actionable recommendations for performance optimization and capacity planning.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, GIS, Engineering, or a related technical field.
• 5+ years of experience in Performance Testing and Engineering.
• Hands-on experience with LoadRunner Enterprise and Apache JMeter.
• Strong understanding of load testing, stress testing, soak/endurance testing, scalability testing, and baseline testing.
• Experience analyzing system performance using monitoring and profiling tools.
• Strong understanding of Windows-based environments.
• Experience working with enterprise infrastructure.
• Experience creating test plans, workload models, and performance reports.
• Excellent troubleshooting and analytical skills.

Preferred Qualifications

• Experience with ArcGIS Pro.
• Experience with ArcGIS Enterprise or other Esri technologies.
• Understanding of GIS concepts, including spatial data, feature layers, map services, geodatabases, and geoprocessing workflows.
• Familiarity with monitoring tools such as Dynatrace, AppDynamics, Splunk, Grafana, and Prometheus.
• Familiarity with scripting languages including Python, PowerShell, and Java.
• Experience working in AWS cloud-hosted GIS environments.

Key Performance Scenarios

• Measure initial ArcGIS Pro launch time.
• Evaluate project opening and loading performance.
• Measure large map rendering performance.
• Analyze zooming and panning responsiveness.
• Test feature selection performance.
• Measure spatial feature editing and save times.
• Analyze layer refresh times.
• Measure query execution and search response times.
• Evaluate geoprocessing task execution.
• Test multi-layer map performance.
• Analyze large dataset handling.
• Simulate concurrent users and evaluate scalability.
• Establish baseline performance and identify deviations.