adconova GmbH
adconova GmbH
11 – 50 Darbinieki
FintechKonsultācijasSaaS
adconova GmbH ir mākoņdatošanas izmaksu optimizācijas konsultāciju uzņēmums, kas apkalpo uzņēmumus, kuri vēlas labāk kontrolēt mākoņpakalpojumu izdevumus un efektīvāk izmantot infrastruktūru. Uzņēmuma pieeja apvieno izmaksu faktoru analīzi ar nepārtrauktu mākoņpakalpojumu izmantošanas, resursu un infrastruktūras optimizāciju. Papildus iepirkumu stratēģijām adconova pievēršas tehniskajiem pamatlēmumiem, kas ietekmē mākoņpakalpojumu izmaksas, palīdzot klientiem efektīvāk pārvaldīt migrāciju uz mākoni un tā darbību. Uzņēmums darbojas konsultāciju, finanšu tehnoloģiju un ar SaaS saistītās jomās.

Cloud and AI Infrastructure Engineer

Help customers apply AI and technical FinOps to improve efficiency. Build generative AI, chatbot, and cloud solutions for customer projects.

Apraksts

  • Identify AI use cases in customer environments.
  • Assess current AI technologies and platforms.
  • Review solution concepts and apply relevant best practices to customer needs.
  • Use AI to help customers achieve significant efficiency gains.
  • Design and build AI and chatbot solutions.
  • Develop and implement AI solutions that automate complex processes.
  • Work across Google Cloud Platform, AWS, Azure, Alibaba Cloud, and hybrid environments.
  • Support customer projects spanning Technical FinOps, cloud governance, architecture, Kubernetes, migration strategies, and AI platforms.

Prasības

  • Hands-on experience with public cloud platforms such as Google Cloud Platform, AWS, Alibaba Cloud, or Azure.
  • Experience with modern AI technologies, including generative AI, Claude, Gemini, Microsoft Copilot, ChatGPT, or OpenWebUI.
  • Strong experience building data and retrieval-augmented generation (RAG) pipelines.
  • Experience with Kubernetes, automation, Terraform, or comparable tools.
  • Knowledge of data privacy, IT security, and the EU AI Act is an advantage.
  • Programming or scripting skills in Python, Go, or similar languages.
  • Expertise in DevOps methodologies.
  • Experience developing and implementing AI or data-driven solutions.
  • Fluency in German and English.

Priekšrocības

  • Permanent employment contract.
  • Six-month probationary period.
  • 40-hour workweek.
  • 30 days of annual leave.
  • Offline team events six to seven times per year, alongside online team events.
  • JobRad bicycle leasing program.
  • Option to use a company car.
  • Corporate benefits program.
  • Employee referral program.
  • eLearning tools for a range of professional development needs.
  • Choice of hardware, such as a laptop and smartphone, and operating system.
  • Remote-first work strategy within Germany.
  • Option to work from the office in Weiterstadt.