Public Cloud Engineer (Generative AI)

Quick Facts

• Role: Public Cloud Engineer (Generative AI)

• Focus: Public cloud platform & infrastructure with Google Cloud; Generative-AI solutions using LLMs

Description

Support the expansion of a public cloud platform and infrastructure with a focus on Google Cloud, working closely with internal teams, Data Science, and Google experts on Generative-AI solutions. You will develop and integrate LLM-based applications in an enterprise context, building infrastructure components using Terraform and CI/CD. You will also help establish cloud security and architecture standards and ensure privacy, legal, and ethical aspects are addressed when using ML models with personal data.

Responsibilities

• Work with an interdisciplinary team to develop new solutions based on Large Language Models (LLMs) using Google Cloud (e.g., Vertex AI/Gemini Enterprise Agent Platform, Gemini Enterprise)

• Build and integrate Python-based microservices and deploy on Cloud Run and Cloud Build with Terraform

• Establish standardized processes, methods, and best practices for Generative-AI infrastructure and support a sustainable enterprise architecture

• Contribute to the development and implementation of cloud security concepts

• Support architecture guidelines and projects using modern public-cloud architecture standards

• Ensure compliance with data protection, legal, and ethical requirements for ML models using personal data

• Advise product owners on cloud benefits for application migration

• Participate in implementation/commissioning of Google Cloud products and services, and standardize processes and mechanisms

• Apply modern automation methods and CI/CD deployment practices to evolve complex public-cloud infrastructures and services

Requirements

• Completed IT degree or comparable qualification with IT competence

• Experience with public cloud platforms (AWS, Azure; preferably GCP) and Terraform (IaC)

• First practical experience in developing, deploying, and integrating Generative-AI applications in an enterprise context

• Experience building infrastructure components with Terraform and CI/CD pipelines

• Experience with GitLab, GitHub, or Bitbucket

• Familiarity with Python

• Practical experience with agile methods and agile-led projects

• Ideally knowledge of security concepts, policies, and regulatory compliance requirements in insurance/finance

• Ideally cloud certifications or willingness to complete training and obtain certifications

• Team-oriented and strong communication skills

• German at a professional/near-native level and very good English skills

Benefits

• Modern workspaces and flexible working hours

• Training, knowledge exchange, coaching, and trainings

• Employee health management