
11 - 50 employees
💼 Consulting
Consulting
Auvaria is a consulting and engineering company focused on AWS, based in Vienna, Austria and Berlin, Germany. The company provides specialized cloud services throughout the entire cloud journey, from strategy to migrations, architecture modernization, DevOps, data & analytics, security, and managed services. Auvaria aims to help clients, whether novices or experts, maximize the value of cloud technologies while minimizing risks and costs, ultimately enabling a long-term competitive advantage. Their approach emphasizes understanding individual client needs and successfully guiding teams through the cultural changes of cloud adoption, along with providing training for sustainable value creation.
🕒 March 31
🗣️🇩🇪 German Required
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11 - 50 employees
💼 Consulting
Consulting
Auvaria is a consulting and engineering company focused on AWS, based in Vienna, Austria and Berlin, Germany. The company provides specialized cloud services throughout the entire cloud journey, from strategy to migrations, architecture modernization, DevOps, data & analytics, security, and managed services. Auvaria aims to help clients, whether novices or experts, maximize the value of cloud technologies while minimizing risks and costs, ultimately enabling a long-term competitive advantage. Their approach emphasizes understanding individual client needs and successfully guiding teams through the cultural changes of cloud adoption, along with providing training for sustainable value creation.
• Design scalable AWS architectures for data platforms, ML workloads, and GenAI solutions • Lead implementation and operation of data pipelines, MLOps setups, and GenAI solutions • Ensure security, performance, reliability, and cost efficiency according to AWS Well-Architected principles • Make and document architecture decisions and trade-offs • Build and operate end-to-end ML workflows • Deploy and manage ML models with AWS SageMaker • Build generative AI use cases with AWS Bedrock • Design and build agentic AI solutions, including tool use, orchestration, evaluation, and guardrails • Advise customers on pragmatic and responsible use of GenAI and agentic AI • Act as a trusted technical advisor for customers • Support pre-sales activities and technical workshops • Translate complex technology into clear business value • Mentor junior colleagues • Contribute to and develop internal standards, best practices, and training programs
• 5+ years in Cloud, Data, or ML Engineering — including 2+ years owning end-to-end architectures • Strong hands-on expertise with AWS • Solid experience in Data Engineering and ETL architectures • Practical MLOps experience (model deployment, monitoring, lifecycle) • Excellent Python skills • Strong experience with IaC (Terraform or equivalent) • Business-fluent English • Professional-level German or willingness to reach that level for client work in Austria and Germany • AWS certifications, experience with generative AI projects, pre-sales or technical leadership, and consulting or client-facing project experience are nice-to-haves
• 4-day work week (36-hour reduced weekly hours) with full focus on impact • Attractive compensation package with a partly variable salary component, depending on your experience • Fast, transparent hiring process (typically no more than 3 interviews; offer usually within 4 weeks) • Personal mentoring and structured onboarding from day one • AWS certifications fully covered by us • Remote-friendly setup with limited travel (max. 20% annually on average) • Regular team and after-work events at our locations plus joint offsites
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