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Senior Software Engineer

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Hewlett Packard Enterprise

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Location:
Ireland , Galway

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Senior Software Engineer in the Hybrid Cloud CTO organization, playing a senior individual contributor role responsible for driving complex, high-impact incubation projects across AI, cloud-native architectures, and emerging software technologies.

Job Responsibility:

  • Serve as a senior technical contributor on complex AI and cloud-native incubation projects, owning design and implementation of key components
  • Lead teams of up to 5-6 engineers of multiple disciplines through the full lifecycle of concept development while collaborating with multiple stakeholders
  • Evaluate and integrate emerging software technologies, including Generative AI frameworks (LLMs, RAG, LangGraph, Knowledge Graphs, ADK, A2A)
  • Design, build, and validate microservices and cloud-native systems deployed across public cloud, datacenter, and edge environments
  • Contribute to technical architecture decisions, ensuring solutions meet requirements for scale, performance, security, and reliability
  • Collaborate closely with internal customers, technical leads, and business stakeholders to align emerging technologies with strategic objectives
  • Conduct research spikes, proofs-of-concept, and experiments that evaluate feasibility and technical trade-offs
  • Implement high-quality code following best practices in AI assisted code generation (GitHub CoPilot), testing, validation, CI/CD, and observability
  • Provide mentorship and knowledge-sharing to team members of all levels on advanced software and AI topics
  • Work effectively across multiple parallel projects in a dynamic environment with frequent context switching

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, AI/ML, or related technical field
  • Typically 10-15 years of software development experience, with at least 3-5 years focused on cloud-native and AI/ML systems
  • Strong programming proficiency in Python and experience with ML libraries (PyTorch, TensorFlow, Transformers)
  • Deep understanding of distributed systems, microservices, and event-driven architectures
  • Hands-on experience with Kubernetes, Docker, REST APIs, and cloud-native application development
  • Experience implementing Generative AI solutions using LLMs, RAG, LangGraph, or similar frameworks
  • Working knowledge of multiple technologies to include vector databases, graph, NOSQL and RDBMS systems
  • Experience deploying cloud solutions on AWS, Azure, or GCP
  • Strong understanding of AI Governance and Security alignment, and responsible AI principles
  • Proficiency in Agile development methodologies, including Scrum or Kanban
  • Experience contributing to large-scale cloud service development environments

Nice to have:

  • Experience with multi-agent systems and agent orchestration frameworks
  • Knowledge of Model Context Protocol (MCP) server development
  • Understanding of Google ADK and A2A protocol implementations
  • Knowledge graph design, construction, and querying
  • Familiarity with ML Ops tools (MLflow, Weights & Biases, LangSmith)
  • Experience with observability platforms like Prometheus, Grafana, or OpenTelemetry
What we offer:
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

Additional Information:

Job Posted:
March 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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