Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise हाइब्रिड क्लाउड और AI-संचालित संचालन चलाने वाले संगठनों के लिए एंटरप्राइज़ तकनीक विकसित करता है। इसके पोर्टफोलियो में HPE ProLiant सर्वर और HPE Cray हाई-परफॉर्मेंस कंप्यूटिंग, HPE Alletra स्टोरेज, HPE Aruba नेटवर्किंग, AI प्लेटफ़ॉर्म और तैयार AI फ़ैक्ट्रियाँ, तथा सेवा के रूप में GreenLake समाधान शामिल हैं। HPE Zero Trust और SASE जैसी सुरक्षा क्षमताएँ भी प्रदान करता है, साथ ही पेशेवर, सलाहकारी और सहायता सेवाएँ देता है, जो बड़े संगठनों को अपने बुनियादी ढाँचे को आधुनिक बनाने, डेटा सेंटर परिवेशों का प्रबंधन करने और बड़े पैमाने पर AI लागू करने में मदद करती हैं।

AI Engineer, Developer Productivity (On-site)

Help engineering teams use AI to improve coding workflows, code review, automation, and developer enablement at Hewlett Packard Enterprise. Build practical AI tools, team playbooks, and measurement programs that improve software delivery.

विवरण

  • Work with the AI Process Lead and engineering teams to deliver prioritized developer productivity initiatives
  • Study team coding practices and identify practical opportunities for improvement
  • Develop and maintain team AI resources, including AGENTS.md, Copilot instructions, reusable prompts, and workflow playbooks
  • Design and improve AI personas for code review, test coverage analysis, refactoring, and related use cases
  • Build AI-enabled code review and developer workflow automations with GitHub, CI/CD, scripts, and internal tools
  • Prototype and ship tools in Python or comparable technologies, supported by clear documentation and adoption guidance
  • Measure and communicate outcomes such as adoption, cycle time, review quality, and defect trends
  • Support adoption through demonstrations, office hours, and team training

आवश्यकताएँ

  • At least three years of software engineering experience with strong programming ability
  • Hands-on experience with AI coding tools such as GitHub Copilot, ChatGPT, Claude, or comparable products
  • Track record of delivering automation or developer tools adopted by multiple engineers
  • Clear and effective written and verbal communication skills
  • Ability to communicate technical tradeoffs in an understandable way
  • Comfort working through ambiguity while keeping delivery on track
  • Familiarity with Git-based development and CI/CD practices
  • Curiosity, adaptability, and a willingness to test, learn, and iterate quickly
  • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience
  • Experience designing prompts and evaluating the quality of AI-generated output is a plus
  • Experience producing internal technical documentation, runbooks, or enablement materials is a plus
  • Exposure to secure coding or quality engineering practices within review workflows is a plus

लाभ

  • Benefits designed to support physical, financial, and emotional wellbeing
  • Programs supporting personal and professional growth
  • Flexible work options to help balance professional and personal responsibilities
  • Inclusive work environment
  • Benefits available to employees in the United States

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