Ofertas de empleo de Ingeniero/a de Machine Learning

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo TSQL Azure NoSQL Jenkins Cloud Coumputing Kubernetes Git DevOps

• Lidera la evolución cloud en un entorno tech internacional
• Impacto real en arquitectura, escalabilidad y seguridad

¿Dónde vas a trabajar?

Compañía tecnológica con presencia internacional, especializada en soluciones digitales para el sector financiero, en plena evolución de su arquitectura cloud y procesos DevOps.

Descripción

• Diseño y desarrollo de soluciones escalables, seguras y fiables en Microsoft Azure.
• Mejora continua de la infraestructura junto al equipo DevOps.
• Administración y resolución de incidencias en plataformas (Apps, Kubernetes, BBDD, web servers, load balancers…).
• Optimización de disponibilidad, seguridad, observabilidad y eficiencia.
• Participación activa en decisiones técnicas y evolución de la arquitectura.
• Compartir conocimiento con el equipo de ingeniería.

¿A quién buscamos (H/M/D)?

• +6 años de experiencia como DevOps / Cloud / Systems Engineer.
• Experiencia sólida en Microsoft Azure.
• Experiencia con Kubernetes en entornos productivos.
• Conocimiento de CI/CD y automatización (Git, Jenkins, Azure DevOps, Terraform/Tofu…).
• Experiencia con bases de datos SQL y NoSQL.
• Capacidad de análisis y resolución de problemas en sistemas distribuidos.
• Nivel alto de inglés.

¿Cuáles son tus beneficios?

• Proyecto estratégico con impacto real en la infraestructura global.
• Posición 100% remota, desde España.
• Salario según experiencia.
• Estabilidad y crecimiento dentro de una compañía internacional.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo TSQL Jenkins Docker Kubernetes DevOps

¿Quieres formar parte del núcleo tecnológico que protege las infraestructuras críticas? Únete a uno de nuestros clientes líderes en el sector de la Ciberdefensa como DevOps Senior. Buscamos un profesional con alta capacidad técnica para diseñar y mantener arquitecturas robustas y seguras, trabajando con tecnologías de vanguardia en un entorno donde la seguridad es la máxima prioridad.

Funciones:

Despliegue y Orquestación: Administración y configuración de plataformas de contenedores basadas en Docker y Kubernetes.

Automatización: Mantenimiento y evolución de pipelines de CI/CD (Jenkins, GitLab CI) para optimizar la entrega de servicios.

Arquitectura: Diseño de infraestructuras de alta disponibilidad y sistemas de observabilidad (ELK, Grafana, Prometheus).

Seguridad: Colaboración con equipos de ciberseguridad para garantizar el cumplimiento de estándares y buenas prácticas en cada despliegue.

Gestión de Identidad y APIs: Configuración de sistemas como Keycloak y Apisix para la protección de accesos.

Requisitos
Experiencia: Mínimo de 4 a 6 años con Kubernetes y Docker; 4-5 años con Helm.

Pipeline: Experiencia demostrable en el desarrollo de CI/CD (Jenkins/GitLab).

Formación: Titulación en Informática, Telecomunicaciones o carrera técnica similar.

Idiomas: Nivel de inglés avanzado (C1), hablado y escrito.

Valorable: Conocimientos en scripting, SQL, OpenStack y herramientas de observabilidad.

Soft Skills: Perfil analítico, resolutivo y proactivo, con foco en la mitigación de riesgos.

Beneficios y Condiciones:

Modalidad Híbrida: 60% teletrabajo (40% presencial en Madrid - Vega 5 o Barcelona).

Estabilidad: Sin turnos ni guardias programadas.

Salario según valía y experiencia aportada (máx 28K)

Entorno: Un proyecto puntero en el sector Defensa con exposición a tecnologías de última generación.

¡Protege el futuro digital desde la primera línea! Si eres experto en Kubernetes y buscas un entorno de máxima seguridad, este es tu sitio.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 feb.

Python Kubernetes DevOps

En Arelance sabemos que las personas son el activo más importante dentro de una empresa y por tanto invertimos mucho esfuerzo en buscar los mejores profesionales para nuestros clientes, y en ofrecer a nuestros candidatos los mejores proyectos.

Actualmente tenemos una vacante como DevOps Engineer , donde buscamos un perfil especializado en automatización, despliegue y operación de sistemas en producción.

Requisitos:

- Poseas experiencia de al menos 3 años en posiciones similares
- Aportes conocimientos sólidos en Python y sistemas de programación en entornos de producción
Experiencia en despliegues y operación de pipelines con práctica de Kubernetes.
- Capacidad de acudir 2 días a la semana cada 2 semanas a oficina de cliente en Madrid.

Entre tus funciones:

- Desarrollo y mantenimiento de pipelines de despliegue.
- Operación y supervisión de entornos productivos.
- Gestión y administración de infraestructura basada en Kubernetes.
- Automatización de procesos mediante Python.
- Soporte técnico en entornos de producción.

¿Qué ofrecemos en esta posición?

- Contrato indefinido en Arelance
- Acceso a formación.
- Modalidad de trabajo: híbrido Madrid - 2 días a la semana cada 2 semanas, resto en remoto.
- SBA a negociar según perfil y experiencia aportada: (De 37 a 45k B/A)
- Condiciones económicas según experiencia y perfil aportado.

Si tienes interés en una gran oportunidad como ésta, ¡inscríbete! ¡Queremos conocerte!

*** Sólo se valoran candidatos con permiso de trabajo y residencia en España ***

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 feb.

Python Cloud Coumputing AWS Terraform

Funciones

- Diseñar y arquitectar infraestructuras AWS seguras y escalables.
- Implementar Infraestructura como Código (Terraform) y automatizar despliegues con GitLab-CI.
- Desarrollar y mantener código Python de alta calidad para soluciones cloud.
- Gestionar servicios AWS como Lambda, Fargate, S3, IAM, entre otros.
- Implementar y mantener arquitecturas serverless y containerizadas.
- Configurar y administrar soluciones SIEM (Splunk) y herramientas de seguridad AWS.
- Aplicar prácticas DevSecOps y seguridad en todo el ciclo de desarrollo.
- Configurar monitoreo, logging y alertas con CloudWatch, Prometheus, Grafana y PagerDuty.

Modalidad híbrida: 3-4 días en remoto + 1-2 días presenciales en nuestras oficinas (junto al metro Bogatell, Barcelona)

Requisitos

- Experiencia en ingeniería y arquitectura de soluciones de infraestructura AWS.
- Experiencia con: AWS Landing Zone, servicios de redes y seguridad de AWS, y estrategia multi-cuenta en AWS.
- Conocimiento de principios y diseño de Infraestructura como Código con Terraform.
- Experiencia con GitLab y GitLab-CI.
- Experiencia comprobada escribiendo código en Python.
- Profundo entendimiento de la infraestructura y servicios de AWS (Fargate, Lambda, S3, WAF, KMS, Transit Gateway, IAM, AWS Config)
- Experiencia con soluciones SIEM, idealmente Splunk.
- Experiencia con los siguientes conceptos: enfoque Shift-left y DevSecOps, SBOM, SAST, servicios de seguridad y cumplimiento de AWS (AWS Config, Inspector, Network Firewall, etc.).
- Experiencia en mejores prácticas de registro, monitoreo y alertas basadas en AWS Cloud y herramientas estándar (Splunk, CloudWatch Logs, Prometheus, Grafana, Alert Manager y PagerDuty)
- Inglés

PRUEBA TÉCNICA PARA EL PUESTO PREVIA A LA ENTREVISTA

Se ofrece

AUBAY seleccionamos un/a AWS Cloud Engineer con inglés en Barcelona.

Ofrecemos la posibilidad de formar parte de una Compañía en continuo crecimiento, participando en innovadores proyectos que te permitirán completar tu formación y potenciar tus capacidades. Valoramos el compromiso y la dedicación en el trabajo realizado.

En Aubay somos una multinacional de servicios digitales (DSC) fundada en 1998. Actualmente, con un fuerte crecimiento. Operamos en mercados con un alto valor agregado, tanto en Francia como en otras partes de Europa. En Aubay actualmente tenemos 5 000 personas trabajando.

Desde el asesoramiento hasta todo tipo de proyectos tecnológicos, acompañamos la transformación y modernización de los sistemas de información en todos los sectores, incluidos la industria, I + D, telecomunicaciones e infraestructura, y especialmente los principales bancos y compañías de seguros, que representan más del 80% de nuestra facturación francesa y el 65% de nuestra facturación europea.

Únete a nosotros, te esperamos!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 feb.

Desde CMV Consultores estamos buscando un/a Ingeniero/a de Sistemas con experiencia en análisis de requisitos, especificación y diseño de sistemas, especialmente en entornos complejos relacionados con el ámbito espacial. La persona seleccionada se integrará en proyectos de ingeniería de sistemas espaciales liderando actividades técnicas, coordinación y generación de documentación de alto nivel.

Funciones principales:

Análisis de requisitos y especificación de soluciones de arquitectura.

Diseño y concepción de sistemas complejos.

Elaboración de reportes técnicos, test y verificación de sistemas.

Gestión de herramientas de ingeniería como DOORS, Capella y Enterprise Architect.

Coordinación de actividades de ingeniería y gestión de equipos.

Aplicación de estándares ESA ECSS e INCOSE.

Opcional: conocimiento en seguridad, ciberseguridad, encriptación y autenticación.

Experiencia con sistemas GNSS, señales GNSS, detección de interferencias RF y geolocalización.

Requisitos:

Mínimo 5 años de experiencia en ingeniería de sistemas.

Inglés avanzado (C1).

Conocimiento profundo de herramientas de gestión de requisitos y MBSE.

Capacidad de documentación técnica y coordinación de equipos.

Se ofrece:

Contrato indefinido
Modalidad 100% presencial en Barcelona.
Oportunidad de incorporarse a un proyecto innovador.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 feb.

. Python Machine Learning

Overview

Job Reference: 406_25_ES_CES_RE1

Position: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

Closing Date: Sunday, 01 March, ****

Reference: 406_25_ES_CES_RE1

Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and hosts the European HPC ecosystem. The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress. BSC combines HPC service provision and R&D into computer and computational science under one roof, with over **** staff from 60 countries.

Context and Mission: The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the AI Factory initiative. The AI Factory accelerates adoption and development of AI across industry sectors, deploying AI-focused services including training, networking, and innovation support. The MareNostrum5 AI partition provides the computing backbone for these services. The selected candidate will support AI services related to climate change use cases, coordinate availability and integration of AI software on MareNostrum5, and ensure smooth support for the AI Factory user community.

Responsibilities

Support the documentation and curation of AI software employed in the AI Factory

Support the deployment and maintenance of AI software on the MareNostrum5 AI partition

Design, implement, and optimize machine learning pipelines for environmental-related applications

Collaborate with domain scientists and external users to develop AI solutions

Support users from the AI Factory in accessing and utilizing AI tools and services

Participate in collaborative development within the AI Factory consortium

Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting

Requirements

Education

Bachelor's or Master's in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field

Essential Knowledge And Professional Experience

Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn

Proven experience in developing and training machine learning models, particularly deep learning architectures

Strong background in handling, analyzing, and validating large-scale datasets

Experience working in a UNIX-based computational environment

Additional Knowledge And Professional Experience

Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr)

Experience in high-performance computing (HPC) and parallelized machine learning workflows

Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/or distributed training using Dask

Understanding of climate and weather models

Competences

Strong problem-solving and analytical skills, with the ability to optimize computational workflows

Ability to work independently while collaborating effectively in a research environment

Excellent communication skills, with a strong ability to document and present research findings

Proficiency in written and spoken English

Conditions

The position will be located at BSC within the Earth Sciences Department

We offer a full-time contract (37.5h/week), a good working environment, state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, and support for relocation procedures

Duration: Open-ended contract due to project and budget considerations

Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December

Salary: Competitive salary commensurate with qualifications and experience, aligned with Barcelona cost of living

Starting date: As soon as possible

Applications procedure and process

All applications must be submitted via the BSC website and contain:

A full CV in English including contact details

A cover/motivation letter with a statement of interest in English, clearly specifying the area and topics of interest; two references for further contact must be included

Recruitment process and equal opportunity

The selection will be carried out through a competitive examination system (Concurso-Oposición). The process consists of two phases: Curriculum Analysis (40 points) and Interview phase (60 points). A minimum of 30 points in the interview is required. The recruitment panel will include at least three people with gender representation. BSC adheres to OTM-R principles and promotes gender-balanced recruitment panels. All participants will receive feedback after interviews. For suggestions or complaints about recruitment processes, please contact ******.

For more information follow this link. Deadline: The vacancy remains open until a suitable candidate is hired; applications are regularly reviewed.

OTM-R and equal opportunity

BSC-CNS is committed to the Code of Conduct for the Recruitment of Researchers and Open, Transparent and Merit-based Recruitment (OTM-R). We are an equal opportunity employer and consider all qualified applicants regardless of protected characteristics.

#J-*****-Ljbffr

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 feb.

. Python Machine Learning

Overview

Job Reference: 406_25_ES_CES_RE1 Position: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

Closing Date: Sunday, 01 March, ****

Reference: 406_25_ES_CES_RE1

Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.

It houses MareNostrum, one of the most powerful supercomputers in Europe, and hosts the European HPC ecosystem.

The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress.

BSC combines HPC service provision and R&D into computer and computational science under one roof, with over **** staff from 60 countries.

Context and Mission: The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the AI Factory initiative.

The AI Factory accelerates adoption and development of AI across industry sectors, deploying AI-focused services including training, networking, and innovation support.

The MareNostrum5 AI partition provides the computing backbone for these services.

The selected candidate will support AI services related to climate change use cases, coordinate availability and integration of AI software on MareNostrum5, and ensure smooth support for the AI Factory user community.

Responsibilities

Support the documentation and curation of AI software employed in the AI Factory

Support the deployment and maintenance of AI software on the MareNostrum5 AI partition

Design, implement, and optimize machine learning pipelines for environmental-related applications

Collaborate with domain scientists and external users to develop AI solutions

Support users from the AI Factory in accessing and utilizing AI tools and services

Participate in collaborative development within the AI Factory consortium

Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting

Requirements

Education

Bachelor's or Master's in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field

Essential Knowledge And Professional Experience

Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn

Proven experience in developing and training machine learning models, particularly deep learning architectures

Strong background in handling, analyzing, and validating large-scale datasets

Experience working in a UNIX-based computational environment

Additional Knowledge And Professional Experience

Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr)

Experience in high-performance computing (HPC) and parallelized machine learning workflows

Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/or distributed training using Dask

Understanding of climate and weather models

Competences

Strong problem-solving and analytical skills, with the ability to optimize computational workflows

Ability to work independently while collaborating effectively in a research environment

Excellent communication skills, with a strong ability to document and present research findings

Proficiency in written and spoken English

Conditions

The position will be located at BSC within the Earth Sciences Department

We offer a full-time contract (37.5h/week), a good working environment, state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, and support for relocation procedures

Duration: Open-ended contract due to project and budget considerations

Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December

Salary: Competitive salary commensurate with qualifications and experience, aligned with Barcelona cost of living

Starting date: As soon as possible

Applications procedure and process

All applications must be submitted via the BSC website and contain:

A full CV in English including contact details

A cover/motivation letter with a statement of interest in English, clearly specifying the area and topics of interest; two references for further contact must be included

Recruitment process and equal opportunity

The selection will be carried out through a competitive examination system (Concurso-Oposición).

The process consists of two phases: Curriculum Analysis (40 points) and Interview phase (60 points).

A minimum of 30 points in the interview is required.

The recruitment panel will include at least three people with gender representation.

BSC adheres to OTM-R principles and promotes gender-balanced recruitment panels.

All participants will receive feedback after interviews.

For suggestions or complaints about recruitment processes, please contact ******.

For more information follow this link.

Deadline: The vacancy remains open until a suitable candidate is hired; applications are regularly reviewed.

OTM-R and equal opportunity

BSC-CNS is committed to the Code of Conduct for the Recruitment of Researchers and Open, Transparent and Merit-based Recruitment (OTM-R).

We are an equal opportunity employer and consider all qualified applicants regardless of protected characteristics.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 feb.

Python Agile TSQL Docker Cloud Coumputing DevOps Fintech Machine Learning Office

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we´ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You´ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.

Senior Data Engineer: Drive our AI Revolution & Data Ecosystem

Location: Madrid (Hybrid: 4 days office / 1 day WFH)

Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker.

Why Ebury?

At Ebury, we don´t just move money; we move the boundaries of what Fintech can achieve. Our strategic growth is powered by Data, and we are looking for a Senior Data Engineer who wants to be at the heart of this transformation.

We aren´t looking for "Jira ticket closers." We want problem solvers, tech enthusiasts, and proactive engineers who want to understand the why and for what behind the data and propose high-value projects that move the needle for the business.

The Challenge: Beyond Pipelines to AI-Ready Systems

We are at an inflection point. Beyond maintaining a robust platform, we have a massive appetite for Machine Learning, LLMs, and Agents. Your mission won´t just be moving bytes; it will be building the infrastructure that enables Ebury to lead the Gen-AI revolution in the financial sector.

Your Cutting-Edge Toolkit:
- Orchestration: Airflow (Cloud Composer) is our backbone.
- Cloud Power: The full GCP suite (GKE, Cloud Run, Functions, Artifact Registry).
- Smart Ingestion: We leverage DLT (Data Load Tool) to build seamless and scalable data pipelines.
- Modeling & Quality: We use dbt at scale, integrating DuckDB to enforce bulletproof Data Contracts.
- DevOps Culture: Dockerized environments and solid CI/CD are our standard in Github Actions.

What You´ll Do
- Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints).
- Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents.
- Business Partnership: Work closely with stakeholders to identify high-impact opportunities. If you see a better way to do things, you have the autonomy to lead it.
- Engineering Excellence: Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure our platform is a benchmark for scalability.
- Growth & Mentorship: Benefit from a personalized 30/60/90 day plan designed to help you thrive from day one.

About You

You´ll be a great fit if:
- Python & SQL Mastery: You have a deep command of both (+5 years of experience).
- Agile Problem Solver: You thrive on unexpected daily challenges, delivering smart technical solutions at speed and iterating them into robust, production-grade systems.
- Business Partner: You are proactive and "business-curious", you want to understand the impact of your code on the bottom line.
- You are fluent in English (we are a global team!).

Bonus Points:
- Hands-on experience with LLMs, Vector Databases, or AI Agents.
- Deep knowledge of DuckDB or DLT.
- Strong foundations in Dimensional Modeling and Data Warehousing.
- Spanish language skills (a plus for office life in Madrid!).

What We Offer
- Competitive Salary + Performance-based discretionary bonus.
- Vibrant Culture: Join a collaborative environment where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one.
- Work-Life Balance: A modern hybrid model in our Madrid office to keep the team spirit alive while respecting your focus time.
- Open Source DNA: We follow Open Source principles internally and encourage you to contribute to external projects.
- Continuous Learning: Personal development through certifications and specialized training.

Excited about the role but don´t tick every single box? Apply anyway! At Ebury, we value potential, proactivity, and a growth mindset over a perfect checklist.

#LI-JC1

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 feb.

.Net C# Python Agile Azure Docker Cloud Coumputing Kubernetes Ansible PowerShell DevOps Terraform Office

As a DevOps Engineer, you will be a key contributor in designing, implementing, and maintaining the infrastructure and deployment technology for our cloud-native identity platform. You’ll collaborate closely with developers, testers, technical writers, and the Engineering Manager to build reliable, secure, and highly automated environments.

Please note that this position is hybrid, we are looking for a person who’s looking forward to joining our lively office community in Alicante (Spain) office for at least 3 days per week.

Key Responsibilities

- Design, build, and maintain cloud infrastructure using Terraform and Ansible
-Build and improve CI/CD pipelines and deployment automation
-Manage cloud infrastructure and resources using modern Infrastructure-as-Code (IaC) practices
-Monitor system performance, troubleshoot issues, and implement enhancements
-Ensure robust security, compliance, and operational best practices are followed
-Collaborate with cross-functional teams to support development, testing, and production environments
-Actively adopt agentic / AI-assisted development practices to increase delivery speed and quality

Expected Experience
-Proven experience as a DevOps Engineer or in a similar infrastructure-focused role
-Expertise in Microsoft Azure and ideally familiarity with regulatory-compliant environments
-Practical experience with Ansible and Terraform
-Hands-on experience operating Kubernetes, preferably AKS
-Experience with containerization (Docker, Podman, LXC, etc.)
-Strong scripting and automation skills using PowerShell, Azure CLI, and/or Python
-Familiarity with CI/CD tools and modern automation practices
-Solid understanding of infrastructure fundamentals (networking, storage, databases, ingress, etc.)
-Strong problem-solving skills and a proactive, team-oriented mindset
-Developer background, ideally with C# and .NET / .NET 8 (strong plus)
-Experience working in regulated or compliance-driven environments is a plus

What we offer: 
-Competitive salary & benefits
-Hybrid work policy (3 days per week from the office)
-Benefit platform
-Support for your ongoing growth & development 
-Team-building activities
-Great work environment 

If you´re a driven DevOps Engineer excited about building robust infrastructure for cloud-native platforms in a collaborative, agile environment, we’d love to hear from you.

Join our Alicante team and help shape the future of self-managed identity solutions - secure, flexible, and truly customer-empowered.