Artificial Intelligence Ops

hace 2 semanas


Madrid, España E-Solutions A tiempo completo

We are looking for a strong Technical Lead to drive AIOps and modern cloud infrastructure initiatives. This role is ideal for either a hands-on AIOps leader capable of running an engineering team or a deeply experienced infrastructure engineer with strong Kubernetes expertise and a solid understanding of developer experience (DX). You will architect, build, and scale cloud-native platforms with a strong emphasis on automation, observability, and open standards, while partnering closely with engineering, product, and operations teams. Key Responsibilities Technical Leadership & AIOps Lead or significantly contribute to an AIOps engineering team, driving automation, intelligence, and operational excellence Define and implement AIOps strategies across monitoring, alerting, incident intelligence, and remediation Evaluate and integrate AI-powered tooling, including cloud-native and vendor-agnostic solutions Cloud & Infrastructure Engineering Design, build, and operate scalable cloud infrastructure primarily onAWS, with exposure toAzurewhere required Architect and manageKubernetes (k8s) -based platforms for high availability, performance, and reliability Promote infrastructure best practices including reliability, security, scalability, and cost optimization Developer Experience (DX) & Platform Enablement Improve developer experience through standardized platforms, tooling, and automation Support CI/CD, environment consistency, and self-service infrastructure patterns Collaborate with application and platform teams to reduce operational friction Engineering & Architecture Develop and review code primarily inPython, with exposure toReactwhere needed for tooling or dashboards Work with data systems and metrics platforms; familiarity with analytical databases such asClickHouseis a plus Advocate for open standards, cloud-native patterns, and vendor-agnostic architectures Required Skills & Experience Strong technical background incloud infrastructure and platform engineering Deep experience withKubernetes (k8s)in production environments Hands-on experience withAWS; working knowledge ofAzureor multi-cloud strategies is a plus Experience leading or mentoring engineers, either formally or technically Proficient inPython; familiarity with modern frontend frameworks such asReactis beneficial Solid understanding of AIOps, observability, monitoring, and automation concepts



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