
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.
🔥 12 hours ago
🗣️🇩🇪 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.
• Develop and implement scalable AWS architectures for Data Platforms and Generative AI/Agentic AI solutions • Ensure security, performance, reliability, and cost efficiency in accordance with the AWS Well-Architected Framework • Make and document architectural decisions, including trade-offs • Translate business pain points into measurable technical requirements and clear objectives • Continuously improve existing standards • Contribute to technical pre-sales, project scoping, and the creation of Statements of Work • Develop Generative AI and Agentic AI solutions on AWS Bedrock • Develop agent architectures with tool use, MCP-based integrations, and multi-step orchestration • Implement human-in-the-loop patterns, approval steps, escalation logic, and review loops • Establish evaluation and quality assurance processes for LLM and agent systems • Advise customers on the pragmatic and responsible use of GenAI and Agentic AI • Act as a trusted technical advisor • Support pre-sales activities and technical workshops • Translate complex technology into clear business value • Mentor junior colleagues • Contribute to internal standards, best practices, and training
• 5+ years of experience in cloud, data, software, 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 • Experience with Generative AI/Agentic AI projects • Excellent Python skills • Fluent English • Professional-level German • AWS certifications are a plus • Experience in pre-sales or technical leadership is a plus • Experience in consulting or customer-facing projects is a plus • Experience with AWS Connect is a plus • Solid experience with IaC (Terraform or comparable tools) is a plus • Experience with LLM customization, fine-tuning, and distillation is a plus • Practical MLOps experience (model deployment, monitoring, and lifecycle management) is a plus • Experience with Kafka/streaming is a plus
• Four-day workweek (36-hour reduced working week) with a strong focus on impact • Attractive compensation package with a partially variable component, depending on your experience • Fast, transparent hiring process (typically no more than three interviews, with an offer generally made within four weeks) • Personal mentoring and structured onboarding from day one • AWS certifications fully funded by us • Remote-friendly setup with limited travel (maximum 20% on average per year) • Regular team and after-work events at our locations, plus company offsites • Inclusive culture, equal opportunities, and participation
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