DEVOPS ENGINEER - AI TECH – INGLES – REMOTO

IRIUM; Ibiza; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading technology firm is seeking a Mid-Senior level DevOps Engineer specializing in AI technologies. This role involves managing CI/CD pipelines and building cloud-native infrastructure across multiple platforms including AWS and Azure. The ideal candidate will possess extensive DevOps experience, strong problem-solving abilities, and excellent communication skills. This opportunity is fully remote, providing a key role in operationalizing AI models.

Formación

• 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles.
• Relevant certifications in cloud or DevOps are a plus.
• Experience with cloud environments and security best practices.

Responsabilidades

• Design, implement, and manage CI/CD pipelines for AI/ML models.
• Build and maintain cloud-native infrastructure supporting the AI lifecycle.
• Champion security and compliance standards.

Conocimientos

DevOps experience

Containerization (Docker, Kubernetes)

Cloud management (AWS, Azure, GCP)

Implementing CI/CD pipelines

Machine learning workflows

Scripting (Python, Bash, Go)

Monitoring and logging tools

Problem-solving skills

Excellent communication skills

Herramientas

Terraform

Jenkins

GitHub Actions

Datadog

Descripción del empleo

DEVOPS ENGINEER - AI TECH – REMOTO

Experience and Skills:

• 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, GCP), including cost optimization and security best practices
• Solid experience implementing CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, etc.
• Familiarity with machine learning workflows, model deployment, and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)
• Relevant cloud or DevOps certifications (e.g., AWS DevOps Engineer) are a plus
• Strong scripting and automation skills (Python, Bash, Go)
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack, Datadog)
• Deep understanding of CI/CD and infrastructure automation principles
• Knowledge of security and compliance in cloud-based and AI systems
• Experience working in agile, cross-functional teams
• Ability to translate operational needs into scalable solutions
• Strong problem-solving skills, ownership mindset, proactive attitude
• Excellent communication skills for collaboration with technical and non-technical stakeholders

Responsibilities:

• Design, implement, and manage CI/CD pipelines for AI/ML models and GenAI applications
• Build and maintain cloud-native infrastructure (AWS, Azure, GCP) supporting the AI lifecycle
• Automate infrastructure provisioning using IaC tools (Terraform, CloudFormation, Pulumi)
• Ensure scalability, reliability, and high availability of AI services
• Implement best practices in MLOps, including model versioning, monitoring, rollback, automated testing
• Collaborate with data engineering and ML teams to operationalize AI models
• Monitor system performance, debug issues, lead root-cause analysis
• Champion security, compliance, and governance standards
• Contribute to continuous improvement of DevOps and MLOps capabilities
• Act as a technical advisor in DevOps and MLOps practices

Additional Information:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and IT
• Industry: Internet Publishing

This job is currently active and accepting applications.