Senior Platform Engineer

About Pwrteams: Join our fast-growing and diverse team at Pwrteams, where we provide premium IT and engineering nearshore solutions to our global customers. Since 2007, we pursue to become the market leader in assembling cross-border IT and engineering teams for customers. Our operations are strategically positioned within Eastern Europe’s dynamic tech ecosystems, from where we cater the global business landscape.  We’re at the forefront of travel, media and fintech innovation, healthcare efficiency enhancements, and others. Our goal? To connect interesting customer projects and skilled talent alike. Become a part of our team and take the next step on your personal career journey. 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. What you'll do Full SDLC: • 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 What we're looking for • 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)