PRINCIPAL SW SYSTEMS ENGINEER 9850- CloudOps/DevOps- Linux-Kubernetes-AWS/Azure
Job Summary
Job Description
Extreme's Cloud Operations team seeks a highly skilled Cloud Test Bed Engineer to manage and optimize cloud test beds for functional and performance testing. This role involves ensuring cloud environments are configured, automated, and optimized for end-to-end testing, validating core functionalities, and assessing system performance under heavy loads. Responsibilities include designing, managing, and optimizing cloud test beds in AWS, GCP, and Azure, collaborating with Development and QA teams, provisioning and automating environments using infrastructure-as-code tools, and ensuring test beds replicate production environments. The engineer will also automate setup/teardown, develop monitoring solutions, troubleshoot issues, analyze test results, and integrate performance and functional testing into CI/CD pipelines.
Must have:
- Design, manage, optimize cloud test beds (AWS, GCP, Azure)
- Collaborate with Dev/QA on testing requirements
- Provision and automate environments (Terraform, CloudFormation)
- Automate test environment setup/teardown
- Develop monitoring solutions for performance/functional tests
- Troubleshoot and resolve test environment issues
- Analyze functional and performance test results
- Integrate testing into CI/CD pipelines
- BS in Computer Science or Engineering
- 13+ years in CloudOps/DevOps
- Hands-on experience with AWS, GCP, or Azure
- Strong Linux, networking, cloud security knowledge
- Experience with containerized environments (Docker, Kubernetes)
- Proficiency with automation tools (Terraform, Ansible, Helm)
- Experience with monitoring tools (Nagios, Grafana)
- Experience troubleshooting/optimizing cloud infrastructure for performance
- Familiarity with CI/CD pipelines
- Strong collaboration and communication skills
Good to have:
- Experience with performance testing tools (JMeter, LoadRunner)
- Experience with functional testing tools (Selenium, TestNG)
- Experience with scalable microservices architectures
- Experience with large-scale distributed systems
- Experience with performance tuning in cloud environments
Job Details
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: 13-18 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.
• 13+ 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.
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