At least 5 years of experience in DevOps, Site Reliability Engineering, or Platform Engineering., Proven experience supporting ML/AI workloads in production environments., Hands-on experience with containerization tools like Docker and Kubernetes, and microservices orchestration., Strong background in managing cloud environments such as AWS, Azure, or GCP, including cost optimization and security practices..
Key responsibilities:
Design, implement, and manage CI/CD pipelines for AI/ML models and GenAI applications.
Build and maintain cloud-native infrastructure supporting the full AI lifecycle.
Automate infrastructure provisioning using IaC tools like Terraform or CloudFormation.
Collaborate with data engineering and ML teams to operationalize AI models and ensure system performance.
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No dejes de perseguir tus sueños. Prepárate para conquistar tus metas, y ten siempre presente disfrutar del camino.
Irium es un grupo de empresas global de servicios TI, compuesto por un equipo de 500 profesionales, entusiastas con su trabajo. Una comunidad tecnológica que día tras día escucha, piensa y propone soluciones personalizadas a las necesidades reales de nuestros clientes, en base a la experiencia y al conocimiento.
Por eso en Irium no solo buscamos los mejores profesionales, sino también lo más soñadores, aquellos que saben dónde quieren llegar, y disfrutar con su trabajo.
Podemos construir juntos el futuro. ¿Hablamos?
🚀 En IRIUM nos preocupamos porque no dejes de perseguir tus sueños. Prepárate para conquistar tus metas, y ten siempre presente disfrutar del camino. Estamos buscando un DevOps Engineer especializado en AI Tech con nivelo alto de inglés para un proyecto 100% remoto.
🔍 ¿Qué buscamos?:
REQUIREMENTS:
5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles
Proven experience supporting ML/AI workloads in production environments
Hands-on experience with containerization (Docker, Kubernetes) and orchestration of microservices
Strong background in managing cloud environments (AWS, Azure, or GCP), including cost optimization and security best practices
Solid experience implementing CI/CD pipelines and using tools such as Jenkins, GitHub Actions, GitLab CI, or similar
Familiarity with machine learning workflows, model deployment patterns, and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)
Relevant certifications in cloud platforms or DevOps practices (e.g., AWS DevOps Engineer, Azure DevOps, Google Cloud DevOps) are a plus
Skills & Competencies:
Strong scripting and automation skills (e.g., Python, Bash, Go)
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack, Datadog)
Deep understanding of CI/CD and infrastructure automation principles
Knowledge of security and compliance in cloud-based and AI-driven systems
Experience working in agile, cross-functional teams focused on rapid delivery and continuous improvement
Ability to translate operational needs into scalable and maintainable solutions
Strong problem-solving skills, ownership mindset, and a proactive attitude
Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
Inglés B2 o superior.
RESIDENCIA EN ESPAÑA
RESPONSIBILITIES:
Design, implement, and manage robust CI/CD pipelines for AI/ML models and GenAI applications
Build and maintain cloud-native infrastructure (AWS, Azure, or GCP) to support the full AI lifecycle: from data ingestion and model training to production deployment and monitoring
Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi
Ensure scalability, reliability, and high availability of AI services in production environments
Implement and enforce best practices in MLOps, including model versioning, monitoring, rollback, and automated testing
Collaborate with data engineering and ML teams to operationalize AI models and integrate them into business-critical systems
Monitor system performance, debug issues, and lead root-cause analysis and resolution of incidents
Champion security, compliance, and governance standards across the AI tech stack
Contribute to the continuous improvement of DevOps capabilities and tooling within the AI Tech Team
Act as a technical advisor in DevOps and MLOps practices, fostering a culture of automation and engineering excellence
⭐ ¿Qué Ofrecemos?
• Lugar de trabajo: REMOTO - SPAIN • Contrato indefinido con IRIUM • Retribución flexible ✌ • Banda salarial: Según valía y experiencia (35 -40K) • 23 días de vacaciones 🏕️ • Buen clima laboral 🙍♀️🙍♂️ • Acceso ilimitado a formación tecnológica puntera en modalidad barra libre. 📚 • Club de beneficios para empleados con descuentos directos y miles de ofertas en marcas, hoteles, agencias de viaje, cines, ropa… 💰
✨Pasarás a formar parte de un gran equipo de personas que estarán siempre dispuestas a ayudarte. IRIUM es una empresa formada por profesionales con inquietudes, dinámicos y resolutivos. Nuestros valores son la responsabilidad y el compromiso con el trabajo bien hecho, este es el espíritu que buscamos en IRIUM, sea cual sea tu edad, si te reconoces ¡esta es tu empresa! Podemos construir juntos el futuro. ¿Hablamos? 🟢🔵🟣
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.