Senior Platform Engineer

Overview

About Nortal:

W e’re Nortal. We think big and create cutting-edge digital solutions with a global reach. And with 25 years of experience, 2,700+ professional experts, and half a billion people worldwide impacted by our work, we believe we’ve got the numbers to back up that statement.

Our global teams have played a significant role in many Fortune 5 00 companies’ projects and systems and have been the driving force of digital transformation for governments, healthcare institutions, and leading enterprises worldwide. We combine best-in-class strategic consulting with software engineering, data, and design practices to bring our visions to life.

About The Project

TUI, is a global business with over 70 000 people on board, great history and challenging plans for building a digital future. TUI is the largest leisure, travel and tourism company globally, and it owns travel agencies, hotels, airlines, cruise ships and retail shops.

As a Platform Engineer, you will help build and operate a scalable AI & Analytics platform, enabling internal Data Science and business teams to work efficiently and securely. You take end-to-end ownership of the platform, from design to operation, with a strong focus on quality, documentation, security, observability, and automation. Working hands-on in a cross-functional, international team, you continuously improve CI/CD, support platform adoption, and drive technical excellence through collaboration and innovation.

Responsibilities

• Build and operate a secure, scalable AWS-based ML platform for internal teams
• Build platform frameworks that allow teams to:
• Set up and manage AWS accounts
• Integrate with the SageMaker ecosystem
• Design and scale infrastructure for ML use cases
• Own the MLOps lifecycle (training, deployment, monitoring, governance)
• Implement Infrastructure as Code (Terraform preferred / AWS CDK) and ensure reliability, observability, and cost control
• Translate stakeholder requirements into scalable platform solutions and continuously improve the platform in a lean team
  
  

Qualifications

• Strong hands-on AWS experience, with SageMaker (mandatory), Bedrock, IAM, S3, CloudWatch, Cost Explorer
• Solid MLOps expertise across the full ML lifecycle
• Infrastructure as Code experience (Terraform or AWS CDK)
• Hand-on Docker expertise
• Proficiency in Python
• Experience with platform engineering and building frameworks
• Senior-level autonomy, ownership mindset
  
  
  

Nice-to-Have

• GenAI/LLM exposure
• Deep knowledge of SageMaker Pipelines, Model Registry, Endpoints
• Experience in large-scale, multi-team environments
• Strong AWS observability and monitoring expertise
• ML background (advantage)
  
  
  

Nortal Offers

• 24 working days of paid vacation
• 11 paid national holidays
• Health care: up to 10 paid sick days, on-demand medical insurance, vaccinations
• Mental health support: webinars, resources, and compensation for therapy sessions
• Access to our corporate learning platform
• Language classes (English)
• Flexible benefits budget: a fixed monthly amount you can spend on what matters most to you - medical insurance, sports, leisure, fuel, and more
• 8-hour workday aligned with the client’s working hours
• Hybrid work options: work from home with the option to use our cozy office space whenever needed
• Engaging team events and thoughtful gifts throughout the year
  
  
  

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