Data Engineer
On-site · Alicante, Valencia, Spain
Job Summary
Data Engineer for a multidisciplinary Data & AI team focusing on designing, operating, and evolving the AIOps platform to keep AI products reliable, scalable, and cost-efficient. Role emphasizes platform, infrastructure, automation, observability, and operations across AWS/Azure environments, with collaboration to productionize AI solutions and implement LLM/AgentOps practices, including RAG pipelines, agent integration, and monitoring. Strong emphasis on reliability, cost control, and automation, plus experience with containers/Kubernetes, CI/CD, and observability tools.
Required Qualifications
- Hands‐on experience in MLOps, AIOps, or operating ML systems in production
- Solid understanding of LLMOps and AgentOps concepts (RAGs, agents, evaluation, monitoring)
- Experience working with AWS and/or Azure in production environments
- Practical knowledge of containers and Kubernetes (Docker, basic Helm usage, etc.)
- Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or similar)
- Familiarity with observability and monitoring concepts (CloudWatch, OpenTelemetry, Prometheus, etc.)
- Experience managing infrastructure as code (Terraform, Bicep, CDK, or similar)
- Python experience and familiarity with the ML ecosystem (e.g. scikit‐learn, PyTorch), even if not a Data Scientist
- Good understanding of the ML / LLM lifecycle, from development to production and monitoring
- Fluent English to work in an international environment
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.