Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 65.000 to 83.500€ gross/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design scalable AWS architectures for Data Platforms and ML workloads. You implement and operate data pipelines and GenAI solutions while ensuring security and efficiency.
Job Technologies
Your role in the team
- You design scalable AWS architectures for data platforms, ML workloads, and GenAI solutions.
- You are responsible for the implementation and operation of data pipelines, MLOps setups, and GenAI solutions.
- You ensure security, performance, reliability, and cost efficiency for our clients (AWS Well-Architected).
- You make architecture decisions along with trade-offs – and document them in a way that teams can build upon.
- You build and operate end-to-end ML workflows.
- You deploy and maintain ML models with AWS SageMaker.
- You are building Generative AI use cases with AWS Bedrock.
- You design and build Agentic AI Solutions - tool use, orchestration, evaluation, and guardrails.
- You demonstrate to clients how to use GenAI and Agentic AI pragmatically and responsibly.
- You are a trusted technical advisor for our clients.
- You support pre-sales and technical workshops.
- You translate complex technology into clear business value.
- You are a mentor for our junior colleagues.
- You contribute to internal standards, best practices, and training, and develop them further with us.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 5+ years in Cloud, Data, or ML Engineering - including 2+ years with ownership of end-to-end architectures.
- Strong hands-on expertise with AWS.
- Very good Python skills.
- Fluent English; professional-level German (or willingness to reach that level) for client work in Austria and Germany.
- AWS certifications.
Experience
- Extensive experience in Data Engineering and ETL architectures.
- Practical MLOps experience (model deployment, monitoring, lifecycle).
- Solid experience with IaC (Terraform or comparable).
- Experience with Generative AI projects.
- Experience in Pre-Sales or technical leadership.
- Experience in consulting or client-facing projects.
This text has been machine translated. Show original
What we offer
- 4-day workweek (with a reduced weekly working time of 36 hours) with a full focus on impact.
- Attractive package with a partially variable salary component, depending on your experience.
- Faster, more transparent hiring process (usually a maximum of 3 interviews, offer typically within 4 weeks).
- Personal mentoring and structured onboarding from Day 1.
- AWS certifications fully paid for by us.
- Remote-friendly setup with minimal travel (max. 20% on average per year).
- Regular team and afterwork events at our locations plus joint offsites.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
auvaria
Auvaria is a consulting and engineering company with focus on AWS, headquartered in Vienna, and offices in Berlin, Hamburg, and Novi Sad. Our team provides specialized cloud services along the entire cloud journey, regardless of what phase you are currently in: From strategy to migrations, architecture modernization, DevOps, data & AI, security, and managed services.
Description
- Company Size
- 50-249 Employees
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication