Automated Tests for Web Application

Job Summary Client is looking for a Contractor who will conduct automated web application performance testing. Automated web application performance testing ensures consistent and repeatable test execution, reducing human error and increasing reliability across different environments and deployments. It enables early detection of performance bottlenecks, allowing teams to proactively address issues before they impact end users. By running tests continuously and at scale, it saves time and resources, accelerating release cycles and improving overall application quality. Objectives(s) • Automated web application performance testing enables early detection of performance bottlenecks, allowing teams to proactively address issues before they impact end users. • Running Automated web application performance tests continuously and at scale, it saves time and resources, accelerating release cycles and improving overall application quality. • Conduct comprehensive performance testing of the API layer—including Dataverse and OData endpoints used by Power Apps—as well as backend performance validation for Dataverse and SQL databases. Responsibilities: 1. Performance Baseline Reports (During Development & Unit Testing) These reports establish expected response times, throughput, and resource utilization under normal conditions. They serve as a benchmark for future comparisons and help developers identify regressions early. 1. Load and Stress Test Results (During System Testing) These deliverables simulate varying levels of user traffic to evaluate how the application performs under peak load and beyond capacity. They help uncover scalability issues, memory leaks, or infrastructure limitations. 1. Bottleneck Analysis and Recommendations (During Integration & Pre-Production) Detailed diagnostics pinpoint slow database queries, inefficient code paths, or misconfigured servers. This analysis includes actionable insights for tuning application and infrastructure components. 1. Continuous Performance Monitoring Dashboards (During Deployment & Maintenance) Integrated with CI/CD pipelines, these dashboards provide real-time visibility into performance trends across builds and environments. They support ongoing optimization and ensure SLAs are consistently met post-deployment. Expectations 1. Proficiency in Performance Testing Tools (5+ Years of Experience) Why It Matters: Mastery of these tools enables the candidate to simulate realistic user loads, configure test scenarios, and generate actionable performance metrics. This ensures the application can handle expected traffic and scale effectively. Key Skills: • Apache JMeter • StressStimulus • Azure Test Cloud • BlazeMeter 1. Strong Programming and Scripting Abilities (8+ Years of Experience) Why It Matters: Custom scripting is often required to simulate complex user behavior, manage dynamic data, and integrate tests into CI/CD pipelines. These skills also support test automation and reduce manual effort. Key Skills: • C#, Python, JavaScript • Shell scripting • Regular expressions • Data parameterization and correlation 1. Deep Understanding of Web Architecture and Protocols (8+ Years of Experience) Why It Matters: A solid grasp of how web applications function helps in designing accurate test scenarios and diagnosing performance issues at the network, server, or application layer. Key Skills: • HTTP/HTTPS • RESTful APIs • WebSockets • Browser rendering and caching behavior • DNS, CDN, and load balancing 1. Experience with CI/CD and DevOps Integration (5+ Years of Experience) Why It Matters: Integrating performance tests into the CI/CD pipeline ensures continuous validation of performance with every code change, reducing the risk of regressions and enabling faster, safer releases. Key Skills: • Jenkins, GitHub Actions, GitLab CI, Azure DevOps • Docker and Kubernetes • Infrastructure as Code (IaC) • Test automation frameworks 1. Analytical Thinking and Monitoring Tool Proficiency (5+ Years of Experience) Why It Matters: Performance testing is only valuable if the results are interpreted correctly. Analytical skills and familiarity with monitoring tools help identify bottlenecks, correlate metrics, and provide actionable insights for optimization. Key Skills: • Grafana, Prometheus • New Relic, Dynatrace, AppDynamics • Log analysis (e.g., ELK stack) • Root cause analysis