Position: Senior AQA Java
Company: Edvantis Software
Category: QA Automation
Experience required: 3y
English level: upper

Required skills

•  5+ years experience as QA Automation Engineer
• Able to breakdown customer/application-level performance requirement to component level
• Good understanding of JVM, GC, Messaging systems, circuit breakers, in memory data stores and distributed systems
• Experience with both client-side and server-side performance KPIs
• Experience with load generator tools such as JMeter, Gatling, Locust etc
• Experience with observability solutions such as Datadog, AppDynamics, Grafana
• Thrive to improve architecture for reliable, high throughput, distributed event-based system
• Define, measure and publish KPIs for performance testing
• English level — Upper-Intermediate

We offer

•  Career and professional growth
• Сompetitive salary
• Friendly and highly professional teams
• Big and comfortable office, own parking area, restaurants nearby
• Medical insurance coverage for employees (Сovid-19 included), plus an option for family insurance coverage at a corporate rate
• Paid 12 sick leaves and all holidays
• Paid 18 working vacation days
• English/German language courses
• Comfortable office facilities (kitchens, shower, sports activities: athletics, coffee/tea points, food delivery services, etc.)

Responsibilities

•  Support test coverage on the project
• Documenting test scenarios and framework functionality
• Complying with project plans and industry standards
• Communicate with other team members and client
• Able to mentor and lead junior engineers

Project description

We’re opening the position of Senior AQA Engineer to join the new team to develop new functionality for our customers. They provide SAAS solutions that help companies to optimize their businesses. These solutions include business planning & execution, processes automation, and optimization. The Customer’s platform leverages industry-leading artificial intelligence (AI) and machine learning (ML) for better predictions and prevention of disruptions across the businesses. Customers value our experience and want to extend a team to develop new functionality.