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DEVOPS ENGINEER - AI TECH – INGLES – REMOTO

IRIUMmurcia, España

Hace más de 30 días

Descripción del trabajo

DEVOPS ENGINEER - AI TECH – INGLES – REMOTO DEVOPS ENGINEER - AI TECH – INGLES – REMOTO

5 days ago Be among the first 25 applicants

5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles
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
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

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

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Seniority level Mid-Senior level

Employment type

Employment type Full-time

Job function

Job function Engineering and Information Technology

Industries Internet Publishing

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Ai Engineer • murcia, España