Artificial Intelligence Ops

E-Solutions; Vigo; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading technology company based in Vigo, Spain, is seeking a Technical Lead to drive AIOps and cloud infrastructure initiatives. The successful candidate will lead an engineering team or leverage their extensive infrastructure experience, focusing on Kubernetes and cloud-native platforms. This role emphasizes automation and observability, requiring strong skills in AWS, Python, and developer experience improvement. Join us to shape the future of cloud solutions in a dynamic environment.

Formación

• Strong technical background in cloud infrastructure and platform engineering.
• Deep experience with Kubernetes in production environments.
• Hands-on experience with AWS; familiarity with Azure is a plus.
• Experience leading or mentoring engineers.
• Proficient in Python; familiarity with React is beneficial.

Responsabilidades

• Lead or contribute to an AIOps engineering team, focusing on automation and operational excellence.
• Design, build, and operate scalable cloud infrastructure mainly on AWS.
• Architect and manage Kubernetes platforms for high availability and performance.
• Improve developer experience through standardized platforms and tooling.
• Develop and review code primarily in Python.

Conocimientos

Kubernetes (k8s)

Cloud infrastructure

AIOps

Python

AWS

Observability

CI/CD

React

Descripción del empleo

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).

Para ser considerado para una entrevista, por favor, asegúrese de que su solicitud se ajusta plenamente a las especificaciones del puesto que se encuentran a continuación.

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 on AWS, with exposure to Azure where required.

Architect and manage Kubernetes (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 in Python, with exposure to React where needed for tooling or dashboards.

Work with data systems and metrics platforms; familiarity with analytical databases such as ClickHouse is a plus.

Advocate for open standards, cloud‑native patterns, and vendor‑agnostic architectures.

Required Skills & Experience

Strong technical background in cloud infrastructure and platform engineering.

Deep experience with Kubernetes (k8s) in production environments.

Hands‑on experience with AWS; working knowledge of Azure or multi‑cloud strategies is a plus.

Experience leading or mentoring engineers, either formally or technically.

Proficient in Python; familiarity with modern frontend frameworks such as React is beneficial.

Solid understanding of AIOps, observability, monitoring, and automation concepts.