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QA Software Engineer

Masculin

Chișinău

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Senior Performance Test Engineer
Chisinau, Moldova

SUMMARY
Dedicated engineer with over 5 years of experience with automation and performance testing solutions. Adept at clean code, and collaborative team success. Acknowledged for contributing significantly to project successes.

EXPERIENCE
Senior Performance Test Engineer
Endava
08/2017 - Present Chisinau, Moldova

Leadership experience 1 (1 year): of 3 Performance testers in creating a scalable financial application, assisted development teams in enhancing applications performance
Leadership experience 2 (1.5 years): Coordinated a team of AI/ML enthusiasts to foster innovation and knowledge sharing within the tech community. Played a pivotal role in organizing meetups and workshops that contributed to the advancement of AI/ML practices. Engaged with a diverse group of professionals to encourage collaboration and the exchange of ideas on emerging AI/ML technologies and methodologies.
Automation & Scripting: Strong background in automating performance test cases and scripting custom load scenarios to closely mimic real-world usage patterns. Implemented robust performance tests (UI and API) developed in JMeter (Java), K6 (JavaScript), Locust (Python), custom Java Application (Spring Boot with parallel programming), Powershell. Implemented Automation tests using Java with Cucumber, Selenium, Junit and JavaScript: Playwright, Cypress, Mockito, Chai.js.
Logs Processing & Analysis: Proficient in capturing and analyzing logs to monitor application performance under stress. Utilized tools like ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Grafana with Prometheus/Loki, Datadog, New Relic, Dynatrace, Humio for real-time logging and visualization.
Troubleshooting: Expert in using log data to quickly identify and troubleshoot performance-related issues, reducing downtime and improving user experience.
Data Aggregation: Skilled in aggregating logs from various sources to provide a comprehensive view of system performance and end-user interactions.
Performance Metrics: Established key performance metrics derived from log data to measure application responsiveness and system health.
Collaboration with DevOps: Worked with DevOps teams to integrate log processing tools with CI/CD pipelines, ensuring continuous monitoring and feedback.
Collaboration with Developers: Partnered with software developers to refine performance requirements and integrate testing practices into the early stages of the development cycle. This proactive approach facilitated the identification and resolution of performance issues, leading to more robust and efficient code deployments.
Custom Monitoring Solutions: Developed custom monitoring solutions tailored to specific application needs, enabling proactive performance management.
Results Communication: Excelled in communicating complex performance testing results to stakeholders, translating technical findings into actionable insights. Utilized visual tools like graphs and heat maps to illustrate performance trends and areas for improvement. Reporting: Developed comprehensive reporting frameworks to document performance benchmarks, test outcomes, and optimization efforts. Ensured reports were accessible and understandable to both technical and non-technical audiences.

PROJECTS
Financial sector
Multiple and variate technologies used: mentioned in SKILLS Section. Conducted system and production service performance tests on a regular basis. Developed and implemented performance test plans. Continuous communication with diverse teams and technology professionals: Developers, Architects, Data Scientists and Data Engineers, Data experts Technologies Azure pipelines for running performance test scripts Azure Dashboards and App Insights. Log analysis and interpretation using Kubernetes CLI with further processing in Powershell.

Health sector
Developed and implemented performance test plans to simulate E2E user's perspective to identify and analyze performance bottlenecks and system limitations. Substantial knowledge acquired with using Gitlab pipelines for running performance test scripts through CI/CD with results analysis in Grafana using Prometheus as a timeseries DB. Log analysis and interpretation using Kubernetes CLI and Humio.

SKILLS