About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions.

About the IRC

Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and global information and communications technology (ICT) solutions provider. We are building an industry-recognized multi-disciplinary Research Centre of experts focusing on medium-term to long-term issues to achieve this. The IRC will work closely with an open, innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.

Key Job Responsibilities

~Agentic SRE Development: Design and implement core modules of highly reliable and scalable Agentic Site Reliability Engineering (SRE) systems, ensuring seamless integration between LLM reasoning and cloud infrastructure.

~Extreme Risk Modeling: Execute comprehensive extreme risk analysis for hyper-scale cloud services, applying Agentic AI to identify systemic vulnerabilities and control loop failures.

~Autonomous Chaos Implementation: Develop and deploy autonomous chaos engineering workflows to proactively test and validate system resilience against non-linear, cascading failures in production.

~Reliability Logic Codification: Translate complex SRE domain knowledge into Agentic logic, specifically focusing on the implementation of tri-tier memory systems (Semantic, Episodic, Procedural).

Basic Qualifications

~Distributed Systems Implementation: 5+ years of hands-on experience in the development and maintenance of large-scale distributed systems within cloud environments.

~Software Engineering: 5+ years of software development experience utilizing modern programming languages such as Golang, Java, Rust, or C++, with a focus on high-concurrency and fault-tolerant code.

~System Theory Application: Strong understanding and applied experience with system theories and hazard analysis techniques, specifically STPA (Systems-Theoretic Process Analysis) and FMEA (Failure Mode and Effects Analysis).

~Reliability & Workload Modeling: Proficient in modeling cloud workload characteristics and system behaviors; ability to abstract raw telemetry (Metrics/Logs/Traces) into formal SRE metrics to detect intent shifts and implicit dependencies.

Preferred Qualifications

Agentic AI Engineering: Practical experience with Agentic AI frameworks (e.g., LangGraph, AutoGen, ADK), RAG architectures, and Agent-to-Agent (A2A/MCP) protocols. Knowledgeable in context engineering and LLM inference optimization.

Industry Recognition: Demonstrated, industry-recognized achievements in the field of SRE, AI, or distributed systems, such as published academic papers, relevant patents, or speaking engagements at major technology conferences (such as EuroSys, SRECon).

DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEWS WILL BE CONTACTED.

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