Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise razvija poslovne tehnologije za organizacije, ki uporabljajo hibridni oblak in operacije, ki jih poganja umetna inteligenca. Njegov portfelj vključuje strežnike HPE ProLiant in visokozmogljivo računalništvo HPE Cray, shranjevanje HPE Alletra, omrežne rešitve HPE Aruba, platforme umetne inteligence in celovite tovarne AI ter rešitve GreenLake kot storitev. HPE ponuja tudi varnostne zmogljivosti, kot sta Zero Trust in SASE, skupaj s strokovnimi, svetovalnimi in podpornimi storitvami, ki velikim organizacijam pomagajo posodobiti infrastrukturo, upravljati okolja podatkovnih centrov in uvajati umetno inteligenco v velikem obsegu.

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.

Opis

  • 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.

Zahteve

  • 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.

Ugodnosti

  • 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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