Quality Assurance Engineer (ITOM)
- Location
- Hyderabad, Telangana, India
- Work mode
- Hybrid
- Employment
- Full-time
- Level
- Mid level
- Experience
- 3+ years
- Job function
- Software/Internet/AI › Testing › Software Testing/Quality Assurance Engineer
Posted Nov 11, 2026Last confirmed open Nov 11, 2026
About this role
Quality Assurance Engineer (ITOM)
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
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.
What you’ll do
HPE is looking for a Software Quality Assurance Engineer with a strong quality-engineering mindset, solid IT infrastructure domain knowledge, and a genuine interest in learning how complex systems work.
This is a hands-on, domain-focused role covering IT Infrastructure Monitoring and IT Operations Management (ITOM) . You will validate how infrastructure is discovered, monitored, related through topology and service maps, and represented through events, alerts, and incidents across on-premises, cloud, and hybrid environments.
This role goes beyond UI validation and routine test execution. We need someone who questions assumptions, investigates system behavior, identifies gaps in requirements, and designs tests around real customer environments and operational risks. You should be comfortable working across APIs, collectors, infrastructure, integrations, and data-processing workflows—not just the application interface.
You will independently define test strategies, troubleshoot complex issues, and work with Product Management and Engineering to drive quality throughout the development lifecycle. Curiosity, adaptability, and willingness to build deeper domain expertise are essential.
Responsibilities :
- 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.
What you need to bring:
- 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.
Quality Mindset and Working Style
We value engineers who:
- Think like a customer and investigate like an engineer: understand the operational outcome, not just whether a screen or API responds successfully.
- Challenge ambiguous requirements and ask what should happen during failures, recovery, upgrades, and unexpected conditions.
- Treat test cases as a starting point—not the boundary of testing.
- Distinguish between a product defect, an infrastructure issue, a configuration problem, and an integration limitation.
- Take ownership of quality risks, communicate them clearly, and follow issues through to resolution.
- Continuously strengthen their domain knowledge and share what they learn with the team.
- Use automation and AI thoughtfully, while independently verifying results and retaining responsibility for technical judgment.
Preferred Skills :
- Experience with OpsRamp, ServiceNow ITOM, BMC Helix, SolarWinds, Dynatrace, or similar platforms.
- Linux and Windows administration and practical network troubleshooting.
- Kubernetes, containers, and cloud-native monitoring.
- Distributed-systems concepts, including queues, eventual consistency, retries, idempotency, and out-of-order processing.
- Performance, scalability, resilience, upgrade, and backward-compatibility testing.
- Experience with Multi-tenant systems, role-based access control, and tenant-isolation testing.
- Git, CI/CD pipelines, and maintaining automated tests within the delivery process.
- ITIL concepts and IT Service Management workflows.
- Responsible use of AI-assisted testing, scripting, and investigation.
Prefer to apply directly?
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