6 дней назад
AI Engineer (AIOps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (AIOps): Designing AI architecture and intelligent RAG agents for mission-critical operations with an accent on dependency modeling, data pipelines, governance, security, and enterprise integrations. Focus on building what-if simulations, enforcing human-controlled automation, tracing agent actions, and translating technical failures into business impact.
Location: Madrid, Spain
Company
operates and modernizes mission-critical technology systems for large businesses, combining infrastructure expertise with AI-powered insights and enterprise technology services.
What you will do
- Define AI architecture for critical operations and AIOps use cases.
- Design service-to-infrastructure dependency models using graphs and Petri nets.
- Build data pipelines for impact analysis and what-if simulations.
- Design RAG-based intelligent agents using tickets, metrics, logs, and CMDB data, including retrieval and evidence-citation rules.
- Establish guardrails, command allowlists, action traceability, audit policies, and human oversight for automation.
- Design integrations with ITSM/BMC, Dynatrace, ELK, and Ansible while translating technical failures into business impact.
Requirements
- Professional experience as a software engineer on complex software projects.
- Strong coding and debugging skills with Java, Python, .NET, or comparable technologies.
- Experience developing scalable and robust software using established development methodologies.
- Knowledge of relational and NoSQL databases, data mapping, XML/JSON, and REST-based web services.
- Understanding of microservices architecture, Docker, Kubernetes, messaging queues, object-oriented programming, and design patterns.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
Nice to have
- Certification in Azure, AWS, or Google Cloud.
- Experience with DevOps tools and modern engineering practices.
Culture & Benefits
- Flexible, supportive, and hybrid-friendly work culture.
- Well-being programs supporting financial, mental, physical, and social health.
- Personalized career development goals, continuous feedback, coaching, and hands-on learning.
- Access to certification and learning opportunities from Microsoft, Google, and Amazon.
- Inclusive culture centered on empathy, belonging, continuous learning, and shared success.
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