Platform Engineer - AI Platforms - Pharma

Join our expert team to work on a cutting-edge AI platform environment, contributing to the development of scalable and highly available internal solutions for ML, LLM and Agentic AI applications. You will apply your knowledge of Kubernetes, Python, DevOps and cloud-native technologies to support enterprise AI platforms and backend services. At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.

At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.

How do we make this happen?

With people. Besides your team and manager, you will have several support figures like a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months.

And the second most important person after you, your mentor, who will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long-term goals.

At ERNI, we highly value experience and technical knowledge. As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts. And if you are interested in mentoring, there is also space for that: supporting other ERNIans while still focusing on the technical excellence that sets us apart.

Do you have experience in Terraform?, Do you have a Master's degree?, * Strong experience with Docker, Kubernetes/OpenShift and DevOps tools such as Jenkins, Helm and Git.

• Professional coding experience in Python and backend development with FastAPI and Celery.
• Experience working with infrastructure as code tools such as Terraform or AWS CloudFormation.
• Knowledge of enterprise AI platforms such as Databricks or Snowflake and understanding of ML and LLM fundamentals.
• Excellent communication skills in English and experience working in international environments.

You will be responsible for design, build, release and support highly available AI foundation platforms used by data scientists and software engineers across the company. You will collaborate with international engineering teams while improving platform reliability, scalability and performance. You will also contribute to MLOps and enterprise LLM platforms, implementing monitoring, disaster recovery and automation solutions.

We work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.

Our working model

We ask you to be available for key meetings. Need to leave for a doctor's appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40-hour workweek.

Our model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other's faces; the best stories always happen in the office!

You will also enjoy:

We cover your certifications and reward technical achievements up to €1,400. Private health and travel insurance. Full coverage for sick leave + 1 extra day off per month without medical leave. ️ Free emotional, legal, and family support. ️ ️ Gym discounts + sports compensation. Flexible remuneration: meals, transport, childcare, etc. Referral bonuses: up to €6,000 per candidate and €5,000 per client. 23 working days of vacation. ️ Free language courses: English, Spanish, Catalan and German.