Cloud Scale Test Engineer

Cloud Scale Test Engineer

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

Job Family Definition:

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.

Responsibilities:


* 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.

Education and Experience Required:


* Bachelor's or master's degree in computer science, engineering, information systems, or related field


* 1-4 years of experience

Knowledge and Skills:


* 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.

Additional Skills:

Cloud Architectures, Cross Domain Knowle...