About this role
Key Responsibilities:
- Design and develop test plans and test cases for infrastructure platforms
- Create and maintain automated test suites for various infrastructure components
- Execute manual and automated tests to ensure quality and reliability of infrastructure
- Analyse test results and report defects with detailed reproduction steps
- Collaborate with development and operations teams to improve testing processes and continuously improve testing methodologies and tools
- Document testing procedures and maintain test documentation
- Monitor and report on test coverage and quality metrics
- Implement Chaos Engineering practices to identify system weaknesses
- Contribute to the development of SLOs (Service Level Objectives) and error budgets
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or related field
- Minimum 3 years of experience in software testing, preferably in infrastructure or systems testing
- Strong knowledge of software testing methodologies, concepts, and best practices
- Experience in writing clear, concise, and comprehensive test cases
- Proficiency in test automation and scripting (e.g., Selenium, Python, Bash, PowerShell)
- Familiarity with infrastructure components such as networks, servers, and storage systems
- Experience with continuous integration and continuous deployment (CI/CD) pipelines
- Knowledge of version control systems (e.g., Git)
- Understanding of agile development methodologies
Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .
Tech stack
Python
About the company
AvePoint
Data Protection · Public · Jersey City, USA
Stage & Valuation
Public · $2.3B
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AvePoint provides a cloud-native data management software platform that unifies data security, backup, recovery, and governance across multi-cloud environments. The company specializes in digital workplace transformation solutions and enterprise-grade data protection, serving as a trusted foundation for AI.
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