1215799 Systems Platform QA and AI engineer

Hewlett Packard Enterprise Development LP; India; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Hewlett Packard Enterprise Development LP in India seeks a hands-on quality engineer to own end-to-end testing for enterprise storage platforms. You will design scalable Python automation frameworks to boost coverage, validation, and debugging across hardware and software layers.

You will apply strong troubleshooting, collaboration, and mentoring skills, and explore AI/ML approaches to optimize tests and reliability in large-scale distributed systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
• 3-5 years of experience with enterprise storage systems or similar large-scale distributed systems.
• Strong programming skills in Python and solid understanding of testing fundamentals, debugging, and automation design.

Responsibilities

• Drive end-to-end quality engineering for enterprise storage platforms, focusing on hardware-software interactions.
• Design and develop scalable automation frameworks and tools using Python to improve test coverage, validation, debugging, and productivity.
• Apply strong troubleshooting and collaborative skills to analyze interactions across system layers and mentor team members.

Skills

Python

Linux

QA & Automation

Troubleshooting

AI/ML in testing

Mentoring

Education

Bachelor's or Master's in CS/IS

Tools

Automation frameworks

Job description

* 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.* 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.* 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.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: .Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.