SR SW APPLICATIONS ENGINEER 9823-CloudOps/DevOps- Linux-Kubernetes- AWS/Azure

Job Description:
Extreme's Cloud Operations team is a group of talented engineers dedicated to building scalable, reliable, and secure cloud-based solutions. We are seeking a highly skilled and motivated Cloud Test Bed Engineer to manage and optimize cloud test beds for both functional testing and performance testing. In this role, you will be responsible for ensuring that our cloud environments are configured, automated, and optimized for end-to-end testing—ranging from validating core functionalities to assessing system performance under heavy loads.
Experience: 5-8 Years
Responsibilities:

• Design, manage, and optimize cloud test bed environments in AWS, GCP, and Azure for both functional and performance testing.
• Collaborate with Development and QA teams to define testing requirements for functional validation (unit, integration, regression tests) and performance testing (load, stress, scalability).
• Provision, automate, and scale test environments using infrastructure-as-code tools like Terraform, CloudFormation, or similar solutions to support both functional and performance testing.
• Ensure that cloud test beds replicate production environments and accurately simulate real-world traffic and load for performance testing, as well as support stable, isolated environments for functional testing.
• Automate the setup and teardown of cloud test environments to efficiently handle continuous integration and continuous testing processes.
• Develop and implement monitoring solutions to track key metrics for both functional test validation and performance testing (e.g., test execution times, system resource utilization, response times).
• Troubleshoot issues in test environments (whether related to functional or performance testing) and work to resolve them quickly, ensuring minimal downtime for testing activities.
• Collaborate with teams to identify performance bottlenecks, scalability issues, and functional bugs and ensure timely resolution during testing phases.
• Continuously optimize and improve the efficiency of test bed management, ensuring that test environments are available, scalable, and cost-effective.
• Analyze test results for both functional and performance tests, identifying trends, issues, and opportunities for improvement in test bed infrastructure and testing strategies.
• Ensure seamless integration of performance and functional testing into the CI/CD pipeline to support rapid feedback cycles during the development process.
Minimum Qualifications:

• BS-level technical degree required; Computer Science or Engineering background preferred.
• 5+ years of experience in CloudOps or DevOps with a focus cloud application management.
• Hands-on experience with AWS, GCP, or Azure in building and maintaining cloud-based environments.
• Strong knowledge of Linux systems, networking, and cloud security fundamentals.
• Experience with containerized environments (Docker, Kubernetes) and their use in functional and performance testing scenarios.
• Proficiency with automation tools (Terraform, CloudFormation, Ansible, Helm, ArgoCD) for managing cloud environments.
• Experience with monitoring tools (e.g., Nagios, Grafana, Prometheus) to track and analyze test bed performance and functional test results.
• Experience in troubleshooting and optimizing cloud infrastructure for performance testing, including identifying bottlenecks and ensuring accurate results.
• Familiarity with CI/CD pipelines and integrating both functional and performance testing into these workflows.
• Strong collaboration and communication skills to work effectively with cross-functional teams across multiple time zones.
Preferred Qualifications:
• Experience with performance testing tools (e.g., JMeter, LoadRunner, Apache Benchmark) and functional testing tools (e.g., Selenium, TestNG).
• Experience with highly scalable microservices architectures and testing them in cloud environments.
• Experience with large-scale distributed systems and managing test beds that simulate complex, production-like scenarios for both functional and performance validation.
• Experience with performance tuning in cloud environments, identifying and resolving issues that may affect performance test results.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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