Software Engineer, RIS Test

Software Engineer, RIS Test

  

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:

   

This Software Engineer, RIS Test will play a critical role in designing, automating, and executing complex system‑level tests for networking products. This role requires strong expertise in Python automation, networking technologies, AI‑driven testing methodologies, and customer‑focused problem solving. The ideal candidate is highly analytical, collaborative, and adaptable, with a passion for improving product quality through intelligent automation and deep technical insight. Key Responsibilities Test Case Automation & Maintenance 

• Automate test cases using advanced scripting techniques and languages such as Python. 
• Leverage internal infrastructure to ensure automated scripts run seamlessly across multiple test platforms. 
• Review automated scripts with stakeholders and integrate them into mainline regression suites. 
• Own the test suite by addressing issues reported in automated scripts and ensuring long‑term maintainability. 

Customer Escalation & Coverage Improvement 

• Participate in major customer escalations to understand, investigate, and narrow down platform, feature, or design‑related issues. 
• Replicate customer‑reported problems in lab environments to support development teams in identifying potential fixes. 
• Analyze field‑deployment issues, perform root‑cause analysis, and identify gaps in test coverage. 
• Investigate test gaps, reproduce issues in lab setups, and automate coverage to ensure continuous regression testing in future releases. 

Feature Deployment & Knowledge Sharing 

• Work with Product Managers to identify deployment scenarios for new features. 
• Share deployment insights and best practices with other system test engineers. 

Networking & Software Expertise 

• Develop deep expertise in networking and software technologies relevant to the product. 
• Engage in technical forums and continuous learning to stay current with industry trends. 

Automation & Python Expertise 

• Strong automation background with expert‑level Python skills to design and develop automation scripts, tools, and frameworks. 
• Proven ability to build custom automation libraries, implement complex algorithms, and work with PyTest and Robot Framework. 

Technology Proficiency 

• Demonstrated expertise in Class of Service (CoS), Firewall/ACL technologies, and tunneling features such as static GRE tunnels. 
• Strong knowledge of network sampling technologies including sFlow and jFlow. 

Networking Test Equipment 

• Hands‑on experience with networking test equipment such as Spirent and Ixia for testing and validation. 
• Ability to automate workflows related to test equipment is a strong plus. 

Customer Interaction & Solution Delivery 

• Experience handling customer cases, understanding requirements, and delivering effective solutions. 
• Proven ability to conduct customer Proof of Concepts (POCs) and contribute to network solution design 

Analytical & Debugging Skills 

• Strong analytical mindset with the ability to isolate, debug, and troubleshoot complex issues efficiently. 

Analytical, Communication & Team Skills 

• Strong analytical and debugging abilities with a proven track record of efficiently troubleshooting complex issues. 
• Excellent interpersonal and communication skills, enabling effective collaboration with customers, team members, and stakeholders. 

• Highly adaptable, self‑driven, quick to learn new technologies, and a strong team player who contributes positively to collective goals 

AI‑Driven Testing & Automation 

• Leverage AI tools to analyze design documents, generate test sce