Artificial Intelligence Ops

hace 3 semanas


VitoriaGasteiz, 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 ResponsibilitiesTechnical Leadership & AIOpsLead or significantly contribute to an AIOps engineering team, driving automation, intelligence, and operational excellenceDefine and implement AIOps strategies across monitoring, alerting, incident intelligence, and remediationEvaluate and integrate AI-powered tooling, including cloud-native and vendor-agnostic solutionsCloud & Infrastructure EngineeringDesign, build, and operate scalable cloud infrastructure primarily on AWS, with exposure to Azure where requiredArchitect and manage Kubernetes (k8s)-based platforms for high availability, performance, and reliabilityPromote infrastructure best practices including reliability, security, scalability, and cost optimizationDeveloper Experience (DX) & Platform EnablementImprove developer experience through standardized platforms, tooling, and automationSupport CI/CD, environment consistency, and self-service infrastructure patternsCollaborate with application and platform teams to reduce operational frictionEngineering & ArchitectureDevelop and review code primarily in Python, with exposure to React where needed for tooling or dashboardsWork with data systems and metrics platforms; familiarity with analytical databases such as ClickHouse is a plusAdvocate for open standards, cloud-native patterns, and vendor-agnostic architecturesRequired Skills & ExperienceStrong technical background in cloud infrastructure and platform engineeringDeep experience with Kubernetes (k8s) in production environmentsHands-on experience with AWS; working knowledge of Azure or multi-cloud strategies is a plusExperience leading or mentoring engineers, either formally or technicallyProficient in Python; familiarity with modern frontend frameworks such as React is beneficialSolid understanding of AIOps, observability, monitoring, and automation concepts



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