Systems Platform QA and AI engineer

Hewlett Packard Enterprise Development LP; India; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Hewlett Packard Enterprise Development LP in India seeks an experienced Quality Engineer to drive end-to-end testing of enterprise storage platforms, emphasizing hardware–software interactions and scalable automation.

You will design Python-based automation frameworks, troubleshoot complex system interactions across Linux/Unix, firmware, drivers, and platform software, and apply AI/ML techniques to improve test coverage and reliability. Collaboration and mentoring across teams are essential.

Qualifications

• 3–5 years of experience in 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.
• Experience in customer issue resolution and cross-functional collaboration.

Responsibilities

• Drive end-to-end quality engineering for enterprise storage platforms, focusing on hardware–software interactions.
• Design scalable Python-based automation frameworks to improve test coverage, system validation, debugging, and productivity.
• Apply AI/ML approaches to failure analysis, test optimization, anomaly detection, and workflow automation.

Skills

Python programming

QA testing

Troubleshooting

Linux/Unix

Automation design

Software debugging

Cross-functional collaboration

Mentoring

AI/ML in testing

Enterprise storage

Education

Bachelor's or Master's in Computer Science or Information Systems

Tools

Automation frameworks

Test tooling

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.