Position: Senior Performance Engineer
Category: QA Automation
English level: fluent
Years of experience: 5

- various performance bottlenecks found - memeory leaks, configurational issues, autoscaling and load balancing issues.
- several high-load applications with hundreds of thousands users and thousands of nodes are in production.
- developed performance testing framework from scratch using docker/aws.
- setup CI/CD process.
- setup performance testing process.
- usage of Docker and cloud environments in performance testing.
Experienced in configuring performance infrastructure from scratch, requirements analysis, performance testing and bottleneck identification, have a thorough experience in testing of applications in cloud environments(AWS, Azure).

I have hands on experience both in server-side and client-side performance analysis and reporting using APM and charting tools like Grafana/Kibana and resource utilisation monitoring tools such as Telegraf, Zabbix and CloudWatch.

Scripting tools: JMeter, Gatling
Data storages used in work: Elasticsearch, InfluxDB
Visualisation tools: Grafana, Kibana
APM and monitoring tools: Dynatrace, New Relic, Application Insights, DataDog, Telegraf, Zabbix
Cloud and virtualisation: Docker, AWS, Azure
OS: Linux, MacOS
Languages: Python, Java, Groovy
I have following expectations regarding my future job: 
- Innovative and interesting projects developing in any cloud environments - Google cloud, AWS, Azure
- Opportunities for professional growth
- Opportunity to get more skills in DevOps