Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise gibrid bulut va sun’iy intellektga asoslangan operatsiyalarni yurituvchi tashkilotlar uchun korporativ texnologiyalarni ishlab chiqadi. Uning portfeli HPE ProLiant serverlari va HPE Cray yuqori unumli hisoblash tizimlari, HPE Alletra ma’lumot saqlash yechimlari, HPE Aruba tarmoq texnologiyalari, sun’iy intellekt platformalari va tayyor AI fabrikalari, shuningdek xizmat sifatida taqdim etiladigan GreenLake yechimlarini qamrab oladi. HPE, shuningdek, yirik tashkilotlarga infratuzilmasini modernizatsiya qilish, ma’lumotlar markazi muhitlarini boshqarish va sun’iy intellektni keng miqyosda joriy etishda yordam beradigan Zero Trust va SASE kabi xavfsizlik imkoniyatlari bilan bir qatorda professional, maslahat va qo‘llab-quvvatlash xizmatlarini ham taqdim etadi.

Principal Cloud and AI Innovation Developer

Lead cloud-native and generative AI innovation at Hewlett Packard Enterprise. Shape incubation solutions, guide engineering teams, and build scalable services for cloud, datacenter, and edge environments.

Tavsif

  • Contribute senior technical expertise to complex AI and cloud-native incubation work.
  • Design and deliver key components of proposed solutions.
  • Guide cross-disciplinary teams of up to six engineers from concept through development.
  • Assess and integrate emerging software technologies and generative AI frameworks.
  • Build and validate microservices and cloud-native systems for public cloud, datacenter, and edge deployments.
  • Help shape architecture for scalability, performance, security, and reliability.
  • Work with internal customers, technical leads, and business stakeholders.
  • Run research investigations, proofs of concept, and experiments.
  • Develop quality software using AI-assisted coding alongside sound testing, validation, CI/CD, and observability practices.
  • Coach colleagues in advanced software engineering and AI.
  • Manage several concurrent projects and shift focus as needed.

Talablar

  • Bachelor’s or master’s degree in computer science, information systems, AI/ML, or a related technical discipline.
  • Typically 10–15 years of software development experience.
  • At least 3–5 years working on cloud-native and AI/ML systems.
  • Strong Python programming skills.
  • Experience with machine learning libraries such as PyTorch, TensorFlow, and Transformers.
  • In-depth knowledge of distributed systems, microservices, and event-driven architectures.
  • Practical experience with Kubernetes, Docker, REST APIs, and cloud-native application development.
  • Experience building generative AI solutions with LLMs, RAG, LangGraph, or comparable frameworks.
  • Working knowledge of vector databases, graph databases, NoSQL, and relational database systems.
  • Experience deploying cloud solutions on AWS, Azure, or Google Cloud Platform.
  • Strong understanding of AI governance, security alignment, and responsible AI principles.
  • Proficiency in Agile methods, including Scrum or Kanban.
  • Experience contributing to large-scale cloud service development.
  • Experience with multi-agent systems and agent orchestration frameworks.
  • Knowledge of developing Model Context Protocol (MCP) servers.
  • Understanding of Google ADK and A2A protocol implementations.
  • Knowledge of designing, building, and querying knowledge graphs.
  • Familiarity with ML Ops tools such as MLflow, Weights & Biases, and LangSmith.
  • Experience with observability platforms such as Prometheus, Grafana, or OpenTelemetry.

Imtiyozlar

  • Benefits designed to support physical, financial, and emotional wellbeing.
  • Programs for personal and professional growth.
  • Flexible work arrangements to help balance work and personal needs.
  • An inclusive workplace culture.
  • Variable incentives may be available.

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