Izertis is a multinational technology consultancy firm specializing in digital transformation, including services in AI, cybersecurity, cloud computing, and blockchain. Founded in Spain and listed on the BME Growth market, the company has established a significant global footprint, providing innovative technological solutions to a wide array of industries.

Headquartered in Gijón, Izertis maintains a robust presence throughout Spain with offices in major hubs like Madrid and Barcelona. The company is recognized for its dynamic work environment and commitment to professional development, offering numerous opportunities for international talent in high-tech roles. Their flexible work policies and diverse project portfolio make them a compelling choice for professionals looking to build a career in the Spanish tech sector.

Founded in 1996 in Gijón, Izertis started as a regional IT provider before expanding into a global consultancy. The company went public on the BME Growth market in 2019 to accelerate its international growth strategy.

For international professionals

Publicly traded on the BME Growth market, ensuring corporate transparency and stability.
Offers a broad range of technical roles in cutting-edge fields like AI, Data Science, and Cybersecurity.
Maintains a strong regional presence across Spain, allowing for various relocation options beyond the capital.
Frequently hires for positions requiring English proficiency, facilitating integration for international professionals.

DevOps Engineer (MLOPs)

Izertis

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

We are looking to incorporate a DevOps Engineer with experience in MLOps to work on a project within the public sector.

What will your functions be?

* Deployment and operation of solutions based on Kubernetes and containers (Docker) in production environments.
* Management of data and messaging services (PostgreSQL, Redis, RabbitMQ) within distributed architectures.
* Configuration of monitoring, logging, and performance analysis for applications deployed on Kubernetes.
* Automation of deployments using tools such as Helm or other CI/CD frameworks.
* Integration of services via REST APIs and support for solutions based on RAG architectures and LLMs.

What are we looking for in you?

* At least 3 years of experience with orchestration tools such as Kubernetes and advanced use of Docker (experience in deployment and operation in production environments, management of pods, services, configurations, and troubleshooting in clusters is valued).
* At least 3 years of experience in queue management and database management (RabbitMQ, Redis, and Postgres) (including configuration, operation, performance tuning, and high availability in distributed environments).
* At least 3 years of experience in the configuration of monitoring and logs, as well as in the performance analysis of k8s applications (use of tools such as Prometheus, Grafana, ELK/EFK, or other observability solutions).
* At least 3 years of experience in automated deployments within development, testing, and deployment processes (Helm or similar) (integration with CI/CD pipelines and environment automation).
* At least 3 years of experience in integrations via REST API (consumption, exposure, and troubleshooting of services, as well as validation and integration between systems).
* Experience in the deployment of a RAG (retrieval-augmented) type system (experience with LLMs, embeddings, vector databases, or semantic search solutions in production environments is valued).

Where would we like you to be for this vacancy?

The work modality will be hybrid in Madrid.

View original advert (Spanish)

Buscamos incorporar un/a DevOps Engineer con experiencia en MLOps para trabajar en proyecto dentro del sector público.

¿Cuáles serán tus funciones?

* Despliegue y operación de soluciones basadas en Kubernetes y contenedores (Docker) en entornos productivos.
* Gestión de servicios de datos y mensajería (PostgreSQL, Redis, RabbitMQ) dentro de arquitecturas distribuidas.
* Configuración de monitorización, logging y análisis de rendimiento en aplicaciones desplegadas en Kubernetes.
* Automatización de despliegues mediante herramientas como Helm u otros frameworks CI/CD.
* Integración de servicios mediante APIs REST y soporte a soluciones basadas en arquitecturas RAG y LLMs.

¿Qué buscamos de ti?

* Experiencia de al menos 3 años en herramientas de orquestación como Kubernetes y uso avanzado de Docker (valorable experiencia en despliegue y operación en entornos productivos, gestión de pods, servicios, configuraciones y troubleshooting en clusters).
* Experiencia de al menos 3 años en gestión de colas y gestión de bases de datos (RabbitMQ, Redis y Postgres) (incluyendo configuración, operación, tuning de rendimiento y alta disponibilidad en entornos distribuidos).
* Experiencia de al menos 3 años en configuración de monitorización y logs, así como en análisis de rendimiento de aplicaciones k8s (uso de herramientas como Prometheus, Grafana, ELK/EFK, u otras soluciones de observabilidad).
* Experiencia de al menos 3 años en despliegues automatizados en procesos de desarrollo, pruebas y despliegues (Helm o similar) (integración con pipelines CI/CD y automatización de entornos).
* Experiencia de al menos 3 años en integraciones mediante API REST (consumo, exposición y troubleshooting de servicios, así como validación e integración entre sistemas).
* Experiencia en el despliegue de un sistema tipo RAG (retrieval-augmented) (valorable experiencia con LLMs, embeddings, bases de datos vectoriales o soluciones de búsqueda semántica en entornos productivos).

¿Dónde nos gustaría que estuvieras para esta vacante?

La modalidad de trabajo será híbrida en Madrid.