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The Internal Platform is a pivotal foundation that accelerates product development by providing a reliable, scalable, and self-service ecosystem. It supports the entire software lifecycle and is meticulously tailored to meet the organization’s technological needs and strategic direction. The platform enables development teams to operate autonomously in 80% of cases, reducing dependency on the Internal Platform area, and ensuring that compliance, security, and business continuity are integrated across the entire platform - defending general reliability of services, and data integrity. The AI Platform Engineers team is a part of the Internal Platform area and nowadays consists of 1 Platform Engineer, Software Engineer, and an Engineering Manager. The team is accountable for designing, building and maintaining the company AI infrastructure. Ensuring high availability, scalability, security and cost efficiency.
Job Responsibility:
Design, implement, and manage AI Platform architecture
Control AI-related costs, including models, GPUs, and other resources
Work closely with Product teams to provide technical expertise and propose innovative solutions
Guarantee highly available AI services through best practices and automation
Collaborate with ML teams to operationalize AI models and integrate them into systems
Troubleshoot critical issues and continuously optimize system performance
Provide day-to-day support to team members and contribute to knowledge sharing
Requirements:
Strong experience with Kubernetes
Experience with CI/CD tools like GH Actions, Argo CD and Argo Rollouts
Experience building secure, scalable, and high-availability environments on AWS
Cloud AI offering: familiar with AWS Bedrock or Azure OpenAI
Experience with Python apps at scale
Experience working with GPUs and distributing workloads
Be prepared to work in a startup-like environment
Comfortable scripting or developing tools in Bash or Go
You can communicate in English (both spoken and written - min. B2 level)
Growth mindset
Nice to have:
Knowledge of Terraform, Crossplane and Helm charts
Familiarity with tools like Karpenter, KEDA, Velero and Cilium
Understanding of Disaster Recovery Planning and strategies for cloud infrastructure
What we offer:
Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings
Remote or hybrid work model with our hub in Barcelona
Flexible working hours
Summer intensive schedule during July and August (work 7 hours, finish earlier)
23 paid holidays, with exchangeable local bank holidays
Additional paid holiday on your birthday or work anniversary
Private healthcare plan with Adeslas for you and subsidized for your family (medical and dental)
Access to hundreds of gyms for a symbolic fee in partnership for you and your family with Andjoy
Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling