SR SW APPLICATIONS ENGINEER 9823-CloudOps/DevOps- Linux-Kubernetes- AWS/Azure
SR SW APPLICATIONS ENGINEER 9823-CloudOps/DevOps- Linux-Kubernetes- AWS/Azure
Posted on :
21-05-2025
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1 Vacancy
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Job Description
Job Description:
Extremes Cloud Operations team is a group of talented engineers dedicated to building scalable reliable and secure cloudbased 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 endtoend testingranging from validating core functionalities to assessing system performance under heavy loads.
Experience: 58 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 infrastructureascode 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 realworld 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 costeffective.
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:
BSlevel technical degree required; Computer Science or Engineering background preferred.
5 years of experience in CloudOps or DevOps with a focus cloud application management.
Handson experience with AWS GCP or Azure in building and maintaining cloudbased 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 crossfunctional 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 largescale distributed systems and managing test beds that simulate complex productionlike scenarios for both functional and performance validation.
Experience with performance tuning in cloud environments identifying and resolving issues that may affect performance test results.
Employment Type
Full Time
Key Skills
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