JOBSEARCHER

Platform Performance Testing

IflowMillbrae, CAL6 LeadOctober 15th, 2026
Job Title: Platform Performance Testing
Location: ~San Francisco, CA~Duration: 6 months
Experience: 8-10 Years**PLEASE NOTE The rates may be negotiable based on experience, education, geographic location, and other factors..**Key Responsibilities Performance Testing & Engineering Design and execute performance, load, stress, endurance, and scalability tests for ArcGIS Pro-based environments. Establish platform performance baselines with only ArcGIS Pro installed and configured. Measure and analyze system responsiveness during key GIS user workflows including: o Map opening and rendering o Zoom In / Zoom Out operations o Panning across large datasets o Feature editing and saving o Layer refresh and redraw o Attribute queries and searches o Geoprocessing execution o Spatial analysis operations o Data synchronization and retrieval Define performance benchmarks and acceptance criteria for GIS operations. Develop test scenarios simulating concurrent user workloads and realistic GIS usage patterns. Tool Development & Automation Create and maintain performance test scripts using: o LoadRunner Enterprise (LRE) o Apache JMeterAutomate execution, monitoring, and reporting of performance tests. Integrate performance testing into CI/CD pipelines where applicable. Build reusable frameworks and performance testing assets. Monitoring & Analysis Monitor client-side and server-side performance metrics during test execution. Analyze: o Response times o Resource utilization (CPU, Memory, Disk, Network) o Rendering performance o Transaction throughput o System scalability Identify bottlenecks related to: o ArcGIS Pro processing o Network latency o Data layers and services o Infrastructure constraints o Client workstation performance Reporting & Collaboration Produce detailed performance assessment reports and dashboards. Present findings, trends, risks, and recommendations to stakeholders. Collaborate with GIS engineers, infrastructure teams, developers, and architects to resolve performance issues. Participate in root cause analysis and performance tuning activities
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, GIS, Engineering, or related field.5+ years of experience in Performance Testing and Engineering.
  • Hands-on experience with: o LoadRunner Enterprise (LRE) o Apache JMeterStrong understanding of performance testing methodologies: o Load Testing o Stress Testing o Soak/Endurance Testing o Scalability Testing o Baseline Testing
  • Experience analyzing system performance using monitoring and profiling tools.
  • Strong understanding of Windows-based environments and enterprise infrastructure.
  • Experience creating test plans, workload models, and performance reports.
  • Excellent troubleshooting and analytical skills.
Preferred Qualifications:
  • Experience with ArcGIS Pro, ArcGIS Enterprise, or other Esri technologies.
  • Understanding of GIS concepts including: o Spatial data o Feature layers o Map services o Geodatabases o Geoprocessing workflows
  • Experience using monitoring tools such as: o Dynatrace o AppDynamics o Splunk o Grafana o Prometheus
  • Familiarity with scripting languages such as Python, PowerShell, or Java.
  • Experience working in AWS cloud-hosted GIS environments.
  • Key Performance Scenarios
  • The candidate should be capable of measuring and assessing performance for activities such as:
  • Initial ArcGIS Pro launch time
  • Project opening and loading
  • Large map rendering performance
  • Zooming and panning responsiveness
  • Feature selection performance
  • Editing and saving spatial features
  • Layer refresh times
  • Query execution and search response times
  • Geoprocessing task execution
  • Multi-layer map performance
  • Large dataset handling
  • Concurrent user simulation and scalability analysis
Desired Skills:
  • Performance EngineeringGIS Platform Testing
  • ArcGIS ProLoadRunner Enterprise (LRE)
  • Apache JMeterPerformance Monitoring
  • Baseline Performance Analysis
  • Capacity Planning
  • Root Cause Analysis
  • Reporting and Visualization
  • Performance Optimization