Senior DevOps Engineer – AI/ML Infra for Gaming

United States Digital Space LLC; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid Working

Private Medical Cover

Meal and Transport Vouchers

English & Spanish Classes

Continuous Professional Development

Descripción de la vacante

Tripledot Studios is expanding its group AI/ML infrastructure to empower engineers and data scientists to deploy solutions rapidly. You’ll bridge research models with live game engines, building scalable data/ML platforms and secure, production-ready environments for cross-studio collaboration.

You will collaborate across AI, IT, engineering, and product teams to deliver robust infrastructure, tooling, and best practices that power real-time gaming experiences at scale.

Formación

• 5+ years in DevOps, SRE, or Platform Engineering, ideally in gaming or high-scale digital products.
• Hands-on Kubernetes in prod, cost-aware infra decisions.
• Proven IaC with Terraform/OpenTofu and scalable IaC growth.
• Experience delivering data/AI/ML solutions in production on AWS and knowledge of GCP.
• CI/CD ownership with GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar.
• Security fundamentals for cloud/K8s, IAM/RBAC, secrets management, and CI/CD integration.
• Observability mindset with dashboards/alerts using Prometheus, Grafana, Datadog or CloudWatch.
• Familiarity with Airflow, Trino, Spark, Kubeflow and ML Ops practices.
• Python or scripting languages; agile, hands-on prototyping.
• Strong collaboration with both technical and non-technical teams.

Responsabilidades

• Build and maintain a scalable data/ML platform for AI/ML initiatives across group AI.
• Provide reliable access to open source AI models and AI productivity tools.
• Design monitoring and alerting to meet SLA/SLOs defined by stakeholders.
• Advocate for CI/CD, IaC, version control, testing, observability, and cost awareness.
• Ensure cross-studio access & security for data ingestion (AWS and GCP).
• Enable testing environments without disrupting production pipelines.
• Track usage of deployed apps and identify optimization opportunities.
• Stay updated on AI technologies and industry best practices.

Conocimientos

Kubernetes in production

Terraform/OpenTofu

CI/CD pipelines

Cloud security

Python scripting

Observability

Airflow/Spark/Kubeflow

GitHub Actions

Data/AI/ML platforms

Security in CI/CD

Herramientas

Terraform/OpenTofu

Kubernetes

Prometheus/Grafana

Datadog

CloudWatch

Descripción del empleo

Tripledot Studios is expanding its group AI/ML infrastructure to empower engineers and data scientists to deploy solutions rapidly. You’ll bridge research models with live game engines, building scalable data/ML platforms and secure, production-ready environments for cross-studio collaboration.

You will collaborate across AI, IT, engineering, and product teams to deliver robust infrastructure, tooling, and best practices that power real-time gaming experiences at scale.