Auvaria
Auvaria
11 – 50 Darbinieki
Konsultācijas
Auvaria ir mākoņdatošanas konsultāciju un inženiertehnoloģiju uzņēmums, kas koncentrējas uz AWS un kura biroji atrodas Vīnē un Berlīnē. Uzņēmuma komanda atbalsta organizācijas visā mākoņdatošanas dzīves ciklā, tostarp stratēģijas izstrādē, migrācijā, arhitektūras modernizācijā, DevOps, datu un analītikas, drošības un pārvaldīto pakalpojumu jomā. Auvaria sadarbojas gan ar organizācijām, kas tikai sāk darbu ar mākoņdatošanu, gan ar pieredzējušām komandām, lai veidotu to vajadzībām atbilstošus praktiskus risinājumus, mazinātu darbības riskus un izmaksas, kā arī attīstītu ilgtermiņa kompetenci. Papildus tehniskajai ieviešanai uzņēmums palīdz klientiem pārvaldīt ar mākoņdatošanas ieviešanu saistītās organizatoriskās pārmaiņas un nodrošina apmācības mākoņtehnoloģiju ilgtspējīgai izmantošanai.

Senior Solutions Architect, Data & AI Engineer - German-Speaking Remote

Auvaria is seeking a senior solutions architect to build scalable AWS data platforms and Generative AI solutions for consulting clients. The role combines architecture, delivery, pre-sales, and cloud transformation advisory work.

Apraksts

  • Architect and implement scalable AWS data platform and Generative AI or Agentic AI solutions
  • Apply the AWS Well-Architected Framework to optimize security, performance, reliability, and cost
  • Document architectural decisions and the trade-offs behind them
  • Convert customer business challenges into measurable technical requirements and clear goals
  • Advance and refine existing technical standards
  • Support technical pre-sales, project scoping, and Statement of Work development
  • Build Generative AI and Agentic AI solutions with AWS Bedrock
  • Design agents with tool use, MCP integrations, and multi-step orchestration
  • Implement human-in-the-loop workflows with approvals, escalations, and review cycles
  • Create evaluation and quality processes for LLM and agent-based systems
  • Guide customers toward practical and responsible GenAI and Agentic AI adoption
  • Serve as a trusted technical advisor and contribute to customer workshops
  • Explain complex technologies in terms of clear business value
  • Coach and mentor junior team members
  • Contribute to internal standards, best practices, and training initiatives

Prasības

  • At least five years of experience in cloud, data, software, or machine learning engineering, including two or more years owning end-to-end architectures
  • Strong practical expertise with AWS
  • Extensive experience designing data engineering and ETL architectures
  • Experience delivering Generative AI or Agentic AI projects
  • Advanced Python programming skills
  • Fluent English
  • Professional proficiency in German
  • AWS certification is a plus
  • Pre-sales or technical leadership experience is a plus
  • Consulting or customer-facing project experience is a plus
  • Experience with AWS Connect is a plus
  • Practical infrastructure-as-code experience with Terraform or an equivalent tool is a plus
  • Experience customizing, fine-tuning, and distilling LLMs is a plus
  • Hands-on MLOps experience covering model deployment, monitoring, and lifecycle management is a plus
  • Experience with Kafka or other streaming technologies is a plus

Priekšrocības

  • Four-day workweek with a 36-hour schedule designed to support focused, high-impact work
  • Compensation package with a partially variable component based on experience
  • Streamlined hiring process with typically no more than three interviews and an offer generally within four weeks
  • Personal mentoring and structured onboarding from the first day
  • Full funding for AWS certifications
  • Remote-friendly work arrangement with average annual travel limited to 20%
  • Regular team and after-work gatherings at company locations, along with company-wide offsites

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