DEVOPS ENGINEER - AI TECH – INGLES – REMOTO
Job Description
We are seeking a skilled DevOps Engineer with experience in AI and machine learning to join our remote team. The ideal candidate will have:
- 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles
- Hands-on experience with containerization (Docker, Kubernetes) and microservices orchestration
- Strong background in managing cloud environments (AWS, Azure, GCP), including cost optimization and security
- Experience with CI/CD pipelines and tools such as Jenkins, GitHub Actions, GitLab CI
- Familiarity with machine learning workflows, model deployment, and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)
- Relevant cloud or DevOps certifications are a plus
- Strong scripting skills (Python, Bash, Go) and automation skills
- Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog)
- Understanding of security, compliance, and infrastructure automation principles
- Ability to work in agile teams and communicate effectively with technical and non-technical stakeholders
Responsibilities
- Design, implement, and manage CI/CD pipelines for AI/ML models and applications
- Build and maintain cloud-native infrastructure 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 for model versioning, monitoring, and rollback
- Collaborate with data and ML teams to operationalize AI models
- Monitor system performance and troubleshoot issues
- Champion security, compliance, and governance standards
- Contribute to continuous improvement of DevOps tools and practices
- Act as a technical advisor in DevOps and MLOps
This is a full-time, remote position based in Spain. Candidates should be proficient in English and have relevant experience in AI-focused DevOps roles.