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Hewlett Packard Enterprise

Systems Platform QA and AI engineer

Posted 17 Hours Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka
Mid level
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Mid level
Drives end-to-end quality engineering for enterprise storage platforms, including hardware-software integration, firmware, operating systems, drivers, storage protocols, and platform software. Develops Python-based automation frameworks and tools for testing, validation, debugging, observability, and productivity. Applies AI and machine learning to failure analysis, test optimization, anomaly detection, and workflow automation. Resolves customer issues, performs root-cause analysis, collaborates across engineering teams, and mentors colleagues.
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Systems Platform QA and AI engineer

  

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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.


What you’ll do:

  • Drives end-to-end quality engineering for enterprise storage platforms, with focus on hardware-software interactions (hardware, firmware, BIOS, BMC/iLO, operating systems, kernel, device drivers, storage protocols, backend network, and platform software).
  • Designs and develops scalable automation frameworks and tools, primarily using Python, to improve test coverage, system validation, debugging, and productivity.
  • Applies strong troubleshooting skills to analyze the interactions and dependencies between system layers in large-scale enterprise storage environments, ensuring timely root cause analysis. Incorporates AI/ML-based approaches to solve complex engineering and quality problems (e.g., failure analysis, test optimization, anomaly detection, and workflow automation). The interactions and dependencies between these layers in large-scale enterprise environments.
  • Builds powerful, reusable tools and utilities that enhance engineering productivity, test effectiveness, and observability.
  • Drives innovation and integration, promotes a culture of collaboration, continuous learning, and mentoring.

What you need to bring:


Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent.
  • 3-5 years of experience, with strong exposure to enterprise storage systems or similar large-scale distributed systems.
  • Strong programming skills in Python.
  • Solid understanding of testing fundamentals, debugging, and automation design.
  • Good understanding of Linux/Unix operating systems.
  • Demonstrated experience in customer issue resolution, system debugging, and cross-functional engineering collaboration.

Preferred Skills

  • Expertise in enterprise storage systems, including hardware, firmware, drivers, and platform software layers.
  • Proficiency in Python programming with proven experience in building automation frameworks, tools, and test systems.
  • Experience in applying AI/ML techniques to engineering or quality problems (e.g., Gen AI / LLMs, prompt engineering, AI-assisted testing).
  • Strong problem-solving mindset with a QA/system thinking approach, focusing on reliability, scalability, and edge conditions.
  • Excellent analytical and troubleshooting skills. Strong collaboration and communication skills. Proven ability and interest in mentoring, knowledge sharing.

Accessibility


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.

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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Engineering

Job Level:

TCP_02

    

    

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. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

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.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

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.

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