Systems Platform QA and AI engineer

Hewlett Packard Enterprise

India

Remote

INR 1,200,000 - 2,400,000

Full time

3 days ago
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Benefits offered by this job

Health & wellbeing
Personal & professional development
Unconditional inclusion

Job summary

Hewlett Packard Enterprise invites applications for Systems Platform QA and AI engineer. This role is Remote/Teleworker, largely working from home, with potential collaboration across global teams.

You will drive quality engineering for enterprise storage platforms, build Python-based automation, and apply AI/ML techniques to optimize tests and reliability. A strong background in Linux/Unix and customer issue resolution is expected.

Qualifications

  • Bachelor's or Master's degree in Computer Science or related field.
  • 3–5 years of experience in enterprise storage or large-scale distributed systems.
  • Strong Python programming skills.
  • Solid knowledge of testing fundamentals, debugging, and automation design.
  • Good understanding of Linux/Unix.
  • Experience in customer issue resolution and cross-functional collaboration.

Responsibilities

  • Drives end-to-end quality engineering for enterprise storage platforms, focusing on hardware–software interaction.
  • Designs scalable automation frameworks using Python to improve test coverage and validation.
  • Applies AI/ML approaches to solve engineering quality problems like failure analysis and anomaly detection.
  • Builds reusable tools to boost productivity, testing, and observability.
  • Fosters collaboration, learning, and mentoring across teams.

Skills

Python programming
Linux/Unix
Testing fundamentals
Debugging
Cross-functional collaboration

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

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.

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