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As a Cloud Scale Test Engineer, you will ensure the delivery of high performance, reliability, and scalability of HPEs next generation cloud solution, through all technical phases, including design review, test planning, execution, and automation.
Job Responsibility:
Design, develop, and maintain robust test automation frameworks for cloud-scale distributed systems
Architect performance, load, and stress tests to validate system resilience under high traffic conditions
Build fault-injection and chaos engineering strategies to assess the reliability of distributed services
Develop and execute end-to-end integration, API, and system-level tests across microservices-based architectures
Implement continuous testing pipelines within CI/CD workflows to accelerate deployment cycles
Collaborate closely with development, SRE, and infrastructure teams to ensure quality best practices are embedded within the SDLC
Analyze system logs, telemetry data, and observability metrics to identify and mitigate potential failures before they impact production
Drive automation of security testing, API contract validation, and infrastructure testing
Participate in diagnosing critical production issues related to system reliability and performance
Requirements:
Bachelor's or master's degree in computer science, engineering, information systems, or related field
1-4 years of experience
Strong Python Coding Skills
Passion for AI-driven automation and process optimization
Experience working on cloud platforms like AWS/Azure/Google Cloud
Experience with Observability platforms like Prometheus, Grafana. Open Search, New Relic etc
Knowledge of distributed tracing and debugging in cloud-native environments
Proficiency in GIT, Jira, Jenkins, and CI/CD tool
Basic networking knowledge
Experience in testing containerized applications and Kubernetes-based environments
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