• Deploy and configure QuantPi platform in diverse customer environments, including private cloud, air-gapped, and SaaS.
• Set up CI/CD pipelines, monitoring, observability, and integrate our platform with customer cloud infrastructure.
• Serve as the primary technical contact for new and existing customers during implementation, providing hands-on guidance and troubleshooting in collaboration with our Engineering teams.
• Contribute to internal cloud infrastructure and deployment automation, ensuring efficiency across customer projects.
• Create reusable deployment playbooks, automation scripts, and share customer environment feedback with our Product and Engineering teams to help shape the product roadmap.

• 5+ years of DevOps/Cloud Infrastructure experience.
• Strong expertise in:
  • Kubernetes deployment, configuration, and management (e.g., Helm, kubectl, operators, ingress controllers).
  • Container technologies (e.g., Docker, container registries).
  • Python/Bash scripting and infrastructure-as-code tools.
  • CI/CD pipelines (e.g., GitHub Actions, GitLab CI, ArgoCD/Flux CD, or similar).
  • Cloud platforms (e.g., GCP, AWS, or Azure).
• Experience with software deployments in complex enterprise environments.
• Proven customer-facing technical delivery experience.
• Excellent troubleshooting and communication skills.
• Minimum Bachelor's degree in Computer Science or a related technical field.

• Knowledge of identity management systems (e.g., OAuth, SAML, JWT).
• Database administration (e.g., PostgreSQL).
• Technical Customer Success or Solution Engineering background.
• Fluency in German is a strong plus, given our market focus.

• You'll Be a Builder: We are a fast-moving startup, and you will join a team where you will have immediate ownership and impact, tackling challenging problems from the ground up. Your work will directly contribute to a world-leading technology and our future success.
• You'll Shape the Future of AI: Our mission is to make AI trustworthy and ethical. This is a core challenge that will shape the future, and you will be supporting the brilliant minds who are solving it. You will be at the cutting edge of a crucial topic that will define how we work alongside intelligent machines.
• Your Work Will Define the Future of Our Platform: As our team's key technical liaison, you'll be instrumental in both supporting customers and providing critical feedback that helps shape our product roadmap. You will have the chance to contribute to our internal cloud infrastructure and deployment automation, with the flexibility to define your own path in a highly impactful role.
• The Berlin/Saarbrücken Advantage: You’ll work at the crossroads of two unique ecosystems: Saarbrücken, Germany’s leading AI research hotspot and home to CISPA, where our roots lie, and Berlin, the country’s most vibrant and diverse startup hub. This shapes who we are: a team that combines scientific excellence with a bold, fast-moving spirit. It's okay to work primarly remote with flexible arrangements. However, it’s important to us that you’re able to join special meetings or key events at one of our offices when needed, as we value the power of human connection.

We founded QuantPi in 2020 as a spin-off of CISPA - Helmholtz Center for Information Security and Saarland University to ultimately enable society for a safe and self-determined co-existence with intelligent machines

Since then, we grew our talented international team of machine learning researchers, software engineers, and business minds and developed our world-leading technology from fundamental research to scalable software that is implemented by Fortune500 companies. We are funded by world-class investors and backed by renowned advisors from academia and industry.

Our mission is to develop technology solutions that make AI trustworthy and ethical, and ultimately safer and more valuable for our society. We do so by eliminating the risks that come with building, deploying, and using AI systems. Our customers can ensure that legal, commercial, and reputational risks related to their AI solutions are identified, assessed, monitored, and mitigated.