The Internal Platform is a crucial foundation that accelerates product development by providing a reliable, scalable, and self-service ecosystem.
It supports the entire software lifecycle and is 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.
Compliance, security, and business continuity are integrated across the entire platform, ensuring the reliability of services and data integrity.
The Internal Platform area consists of 34 people, including 27 individual contributors, 2 Staff Engineers, 4 Engineering Managers, and the Head of Internal Platform.
The AI Platform Engineers team is part of the Internal Platform area and currently consists of 1 Platform Engineer, 1 Software Engineer, and 1 Engineering Manager.
The team is responsible for designing, building, and maintaining the company AI infrastructure, ensuring high availability, scalability, security, and cost efficiency.
The team faces challenges such as understanding and integrating diverse technology stacks and ensuring scalability and reliability of systems as Docplanner grows.
The role involves working closely with Product Teams to understand their technical requirements and provide necessary tools, services, and infrastructure.
Responsibilities include designing and managing AI Platform architecture, controlling AI-related costs, ensuring high availability of AI services, collaborating with ML teams, troubleshooting issues, and providing support to team members.
Requirements:
Strong experience with Kubernetes is a must-have.
Knowledge of Terraform, Crossplane, and Helm charts is nice to have.
Experience with CI/CD tools like GH Actions, Argo CD, and Argo Rollouts is required.
Familiarity with tools like 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 required.
Familiarity with cloud AI offerings such as AWS Bedrock or Azure OpenAI is expected.
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 evolving tasks.
Comfort with scripting or developing tools in Bash or Go is necessary.
Proficiency in English (both spoken and written, minimum B2 level) is required.
A growth mindset is valued, as not all candidates will tick all boxes but a willingness to learn is essential.
Benefits:
A salary that is adequate to your experience and skills, with 100% transparency.
A flexible remuneration and benefits system via Flexoh, which includes a restaurant card, transportation card, kindergarten, and training tax savings.
Share options plan available 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 your birthday or work anniversary.
A private healthcare plan with Adeslas for you and subsidized for your family, covering medical and dental needs.
Access to hundreds of gyms for a symbolic fee through a partnership with Wellhub.
Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.
Free English and Spanish classes to promote continuous learning.