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.

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 Family Definition

As a Cloud Scale Test Engineer, you will ensure the delivery of high performance, reliability, and scalability of HPE’s 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 tools
• Basic networking knowledge
• Experience in testing containerized applications and Kubernetes-based environments.

Additional Skills

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

What We Can Offer You

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial, and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

USD Annual Salary: $90,400.00 - $208,500.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.