Permanent Employment, full-time, Remote (RS), Delivery, Permanent employee, experienced, 2-5 years, IT/Software Development, General/Other: IT/Software Development

It’s time to change. We change!

Welcome to Auvaria, where passion, team spirit, responsibility, and technical expertise form the basis of our culture.

We are looking for an experienced, motivated and solution-oriented team player (f/m/d) with a feeling for individual customer requirements and a proven hands-on mentality. As a Cloud Consultant - Data & GenAI Engineer , you take technical ownership for AWS cloud-based Data, ML & AI solutions and you will help shape Auvaria's growing Data & AI practice.

Data, MLOps & GenAI Architecture & Delivery

• Build and operate end-to-end ML workflows
• Design and implement modern data architectures and data pipelines
• Deploy and maintain ML models using AWS SageMaker
• Implement Generative and Agentic AI use cases using the AWS ecosystem (e.g., AWS Bedrock, Strands Agents, S3 Vectors etc.)
• Guide customers on how to adopt GenAI pragmatically and responsibly
  
  

• Act as a trusted technical advisor for customers
• Support pre-sales activities and technical workshops
• Translate complex technical concepts into clear business value
• Knowledge Sharing
• Mentor junior colleagues
• Contribute to internal standards, best practices and trainings

Your profile:

Must-haves

• 2-3+ years of experience in cloud, data or ML engineering
• Proven hands-on expertise with AWS
• Solid experience in data engineering and ETL architectures
• Practical MLOps experience (model deployment, monitoring, lifecycle)
• Very good Python skills
• Proven experience with IaC (Terraform or comparable)
• Fluent in English
• Consulting or customer-facing project experience
• Experience with Generative AI projects
  

• AWS certifications
• Experience in pre-sales or technical leadership roles

First-class benefits for your career!

At Auvaria, you can expect more than just a job. We offer you an attractive working environment with many benefits that promote your career and enrich your private life:

• 4-days-week (36h) with full focus on impact
• Fast & transparent hiring process (max. 3 interview rounds, 1 interview in person, typically max. 4 weeks from application to offer)
• Structured onboarding
• Fully funded AWS certifications
• Remote-friendly setup with limited travel (max. 25%)
• Regular team & afterwork events in Vienna, Hamburg, Belgrade and virtually