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 Client 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.
Skills:
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.
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 candidates 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.
Experience:
5+ years of experience with performance test simulations and performance analysis, performance monitoring in a n-tier environment.
Strong load testing, development and specifically J/Meter skills and experience.
3+ years of experience with Agile methodologies and cloud technologies like Azure.
Solid understanding of Performance test process methodologies, approaches and tools.
Education:
Completion of a university degree or college diploma, preferably in computer science/engineering, information technology, business administration, or a related discipline, or an equivalent combination of education, training, and experience.