Quality Assurance Engineer (ITOM)

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you.

Joining our Hybrid Cloud HPE team and working as part of our OpsRamp team is a chance to make history and be a driving force in the industry. We are revolutionizing cloud computing by building a large-scale, enterprise-ready platform that powers a hybrid edge-to-cloud world. Our platform enables the world's largest and most diverse enterprise IT teams and managed service providers to control the chaos of modern digital infrastructure, and to deliver quickly, efficiently, and at scale while keeping their data secure and meeting sustainability goals.

• →Own quality engineering across discovery, monitoring, topology, event management, and service mapping.
• →Build a practical understanding of customer infrastructure, operating practices, and failure scenarios.
• →Define risk-based test strategies covering functional, integration, regression, exploratory, and end-to-end testing.
• →Validate complete workflows from infrastructure discovery and data collection through processing, APIs, visualization, alerting, and incident creation.
• →Test discovery accuracy, resource identity, duplicate prevention, inventory updates, and resource lifecycle changes.
• →Validate metric correctness, units, timestamps, collection intervals, missing or stale data, thresholds, and alert state transitions.
• →Verify topology relationships, dependency direction, and service-map updates as infrastructure changes.
• →Test event correlation, deduplication, suppression, recovery, and incident lifecycle behavior.
• →Validate integrations under normal operation and failure conditions, including credential changes, timeouts, rate limits, retries, and partial failures.
• →Design scenarios for collector outages, network interruptions, delayed data, component restarts, and recovery.
• →Build and maintain reproducible test environments, representative test data, and reliable automation.
• →Investigate defects with clear evidence, reproducible steps, customer impact, and useful diagnostic findings.
• →Collaborate early with Product Management and Engineering to improve requirements, testability, and acceptance criteria.
• →Communicate release risks and coverage gaps clearly, rather than relying solely on test-pass percentages.
  

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

• 3+ years of hands-on QA experience, preferably with ITOM, infrastructure monitoring, observability or enterprise infrastructure products.
• Strong understanding of enterprise infrastructure, including servers, networks, storage, databases, virtualization, and cloud infrastructure.
• Hands-on experience validating infrastructure discovery, monitoring, and configuration-management capabilities.
• Understanding of discovery and collection mechanisms, including SNMP, WMI, SSH, REST APIs, and agent-based or agentless approaches.
• Understanding of topology discovery, dependency relationships, and service mapping.
• Good understanding of event management, alert processing, correlation, deduplication, noise reduction, and incident workflows.
• Experience testing integrations with third-party systems, monitoring tools, and infrastructure platforms.
• Working knowledge of AWS, Azure, or GCP and hybrid infrastructure.
• Experience with REST API testing, including authentication, authorization, error handling, pagination, and asynchronous workflows.
• Ability to use Python, JavaScript, or Shell scripting for automation, environment setup, data validation, and troubleshooting.
• Ability to analyze logs, inspect API responses, and trace issues across components to isolate failures.
• Strong exploratory and risk-based testing skills, including the ability to identify meaningful scenarios beyond documented requirements.
• Demonstrated ability to learn unfamiliar technologies, adapt test strategies as the product evolves, and work effectively with incomplete or changing requirements.

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.

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.

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.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.