The AI Platform Engineer will be part of the Internal Platform area, which is essential for accelerating product development by providing a reliable, scalable, and self-service ecosystem.
The platform supports the entire software lifecycle and is tailored to meet the organization’s technological needs and strategic direction.
The role involves enabling development teams to operate autonomously in 80% of cases, reducing dependency on the Internal Platform area while ensuring compliance, security, and business continuity.
The AI Platform Engineers team currently consists of 1 Platform Engineer, 1 Software Engineer, and 1 Engineering Manager, and is expanding to meet growing AI needs.
Responsibilities include designing, implementing, and managing AI Platform architecture, controlling AI-related costs, and ensuring high availability of AI services.
The role requires collaboration with Product Teams to understand their technical requirements and provide necessary tools and infrastructure.
The position involves troubleshooting critical issues and continuously optimizing system performance.
Requirements:
Strong experience with Kubernetes is a must-have.
Knowledge of Terraform, Crossplane, and Helm charts is a plus.
Experience with CI/CD tools like GH Actions, Argo CD, and Argo Rollouts is required.
Familiarity with tools such as Karpenter, KEDA, Velero, and Cilium is beneficial.
Experience in building secure, scalable, and high-availability environments on AWS is necessary.
Understanding of Disaster Recovery Planning and strategies for cloud infrastructure is essential.
Familiarity with cloud AI offerings like AWS Bedrock or Azure OpenAI is required.
Experience with Python applications at scale is necessary.
Experience working with GPUs and distributing workloads is required.
Candidates should be prepared to work in a startup-like environment with shifting priorities and rapid task evolution.
Proficiency in scripting or developing tools in Bash or Go is necessary.
Candidates must be able to communicate in English, both spoken and written, at a minimum B2 level.
A growth mindset is valued, as not all candidates will meet every requirement.
Benefits:
A salary that is commensurate with experience and skills, with 100% transparency.
A flexible remuneration and benefits system via Flexoh, including a restaurant card, transportation card, kindergarten, and training tax savings.
Eligibility for a share options plan after 6 months of employment.
A remote or hybrid work model with a hub in Barcelona.
Fully flexible working hours, with only a couple of meetings required weekly.
A summer intensive schedule during July and August, allowing for a shorter workday.
23 paid holidays, with the option to exchange local bank holidays.
An additional paid holiday on the employee's birthday or work anniversary.
A private healthcare plan with Adeslas for the employee and subsidized for family members.
Access to hundreds of gyms for a symbolic fee and a technological platform for mental wellness offering online psychological support.
Free English and Spanish classes to promote continuous learning.