QA Automation Engineer with Java
Confirmed live in the last 24 hours
Veeam Software
Job Description
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
Now we are looking for a Middle/Senior QA Automation Engineer (Java) to join the team that works on the Veeam Backup for Salesforce.
What You'll Do
- Developing testing strategies for software products
- Developing automated tests for integration and functional scenarios, including for the backend, frontend, data storage system, etc
- Developing and improving current automation tools
- Maintaining test documentation
- Validating tests and scenarios written by other testers
- Conducting test cycles using functional, integration, and load testing
- Evaluating test results, preparing reports, and making suggestions for quality improvement
- Analyzing results, increasing test coverage, participating in development, and implementing new approaches to product testing
What You'll Bring
- Knowledge of Java
- Knowledge of SQL
- Knowledge of REST, SOAP, HTTP
- Knowledge of Playwright
- API testing experience
- Knowledge of Docker
- Experience with Azure DevOps (CI/CD, pipelines, IaC such as Bicep, etc.)
- Knowledge of automated testing tools: JUnit, Jupiter etc
- Hands-on experience with Spring Boot
- Experience with test case management systems (e.g., TestRail, Zephyr, Xray, etc.)
- Knowledge of the principles of distributed systems
- Skill and experience in collecting system requirements
- An understanding of system interoperability
- An understanding of the differences between various types of testing
Bonus Skills
- A deep understanding of the software life cycle process
- A deep understanding of the testing process and experience with implementing it in practice
- Knowledge of programming languages: Kotlin
- Knowledge of relational database operation
- Knowledge of Kubernetes (k8s)
