Posted May 26, 2026
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
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
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)
Experience in load testing
Experience in working with large volumes of data and data quality testing
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