Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise dezvoltă tehnologii pentru organizații care operează infrastructuri cloud hibride și activități bazate pe inteligență artificială. Portofoliul său include servere HPE ProLiant și soluții de calcul de înaltă performanță HPE Cray, soluții de stocare HPE Alletra, soluții de rețelistică HPE Aruba, platforme de inteligență artificială și fabrici AI gata de utilizare, precum și soluții GreenLake oferite ca serviciu. HPE oferă, de asemenea, capabilități de securitate precum Zero Trust și SASE, alături de servicii profesionale, de consultanță și de asistență care ajută organizațiile mari să își modernizeze infrastructura, să gestioneze mediile centrelor de date și să implementeze inteligența artificială la scară largă.

Principal Cloud and AI Innovation Developer at Hewlett Packard Enterprise

Lead incubation projects that build cloud-native AI solutions at Hewlett Packard Enterprise. Work across generative AI, distributed systems, and microservices.

Descriere

  • Contribute senior technical expertise to complex AI and cloud-native incubation projects.
  • Design and implement critical components of project solutions.
  • Guide cross-disciplinary teams of up to six engineers through the full concept-to-development lifecycle.
  • Assess and integrate emerging software technologies, including generative AI frameworks.
  • Build and validate microservices and cloud-native systems for public cloud, datacenter, and edge environments.
  • Help shape architectures for scalable, high-performing, secure, and reliable solutions.
  • Partner with internal customers, technical leads, and business stakeholders.
  • Run research spikes, proofs of concept, and experiments to assess feasibility and technical trade-offs.
  • Deliver quality code using AI-assisted generation and established testing, validation, CI/CD, and observability practices.
  • Mentor colleagues and share expertise in advanced software and AI topics.
  • Manage concurrent projects in a fast-moving environment that requires frequent context switching.

Cerințe

  • 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 specializing in 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 environments.
  • Experience with multi-agent systems and agent orchestration frameworks is preferred.
  • Knowledge of Model Context Protocol (MCP) server development is preferred.
  • Understanding of Google ADK and A2A protocol implementations is preferred.
  • Knowledge graph design, construction, and querying experience is preferred.
  • Familiarity with ML operations tools such as MLflow, Weights & Biases, and LangSmith is preferred.
  • Experience with observability platforms such as Prometheus, Grafana, or OpenTelemetry is preferred.

Beneficii

  • Comprehensive health and wellbeing benefits for physical, financial, and emotional wellness.
  • Programs for personal and professional growth.
  • Flexible work arrangements to help balance work and personal needs.
  • An inclusive and accessible workplace.
  • Reasonable accommodations for applicants with disabilities during the application or interview process.
  • Variable incentives may also be available.

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