Authors Performance strategy and test plans
Define Non- functional Strategy
Define, develop and achieve performance/scalability benchmarks
Design, develop, and execute performance test cases and scripts through analysis of product specifications and software requirements
Performs integrations, stress, load, regression and performance testing to validate production readiness of software applications and infrastructure for stability and performance
Design POCs to suggest new tools to improve existing performance suites
Monitor and track the automation for effectiveness
Perform automated load/performance testing across multiple messaging protocols (including HTTP), focusing on overall application performance - validating that application response and outputs accurately reflect business requirements
Drive performance / load test operations towards a CI pipeline model to support continuous performance improvements in the solution
Real-Time Performance Testing: Experience with testing real-time data processing systems, ensuring minimal latency, high throughput, and stability under peak loads.
Resilience & Fault Tolerance Testing: Simulating network failures, server crashes, and other disruptions to assess how the system recovers and handles failures.
Observability & Monitoring: Experience with real-time monitoring tools such as Prometheus, Grafana, Datadog, or Splunk to track performance metrics and system health.
Performance in Distributed Systems: Assessing how performance scales in a distributed/cloud-native environment and ensuring optimal resource utilization.
Tracks and communicates task progress, status, and key performance metrics
Report defects found in testing diligently, promptly, and accurately, using standard defect tracking tools
Pinpointing bottlenecks, and collaborating with relevant teams to enhance system performance.
Communicate effectively across multiple teams/external vendors (Operations, Project Teams, Quality Service, ), different personnel (Developers, Scrum Masters, Project Managers, ) when required
Hands-on experience within API REST/SOAP testing and experience using related tools, Postman, ReadyAPI etc along with understanding of the UI applications.
Expected to maintain technical expertise via self-education in areas governing computer sciences, performance/load testing dictums, and Quality Assurance
Extensive experience with Performance testing and automation tools such as JMeters, LoadRunner, Cloudtest, Selenium, Appium or similar
Proficiency with scripting tools such as python, and shell scripting
Code knowledge PHP, HTML, CSS, AutoIt, XML, JSON, Javascript, Log4net
Experience with Real-Time Data Technologies: Kafka, RabbitMQ, or other event-driven architectures.
Cloud Performance Testing: Familiarity with cloud platforms (AWS, Azure, GCP) and their performance testing methodologies, including auto-scaling and load balancing strategies.
Low Latency Optimization: Experience optimizing applications for low-latency scenarios, including techniques like caching, message queuing, and network optimizations.
Experience developing your own testing tools to facilitate performance testing is a major plus
Ability to work as part of a self-directed Agile team
Provide support and mentoring to distributed project teams on performance activities
Strong data analysis and post processing skills to validate system performance
Extensive hands on experience with manual and automated Performance testing
Hands on experience on installation, setup and configuration the system to get going
Demonstrated competency with various tools, including Defect Management Tools, Test Management and Planning Tools
3-4 years experience in software application development or test automation (some experience may be in an academic environment)
Should have knowledge about authentication (Basic, Digest, Form-Based, Bearer Tokens, JWT Tokens, MFA) implementation in load testing tools