Customer Cloud Engineer

United States Digital Space LLC

München

Vor Ort

EUR 90.000 - 130.000

Vollzeit

14 Tage+

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Zusammenfassung

United States Digital Space LLC in Germany is seeking an experienced Cloud Platform Engineer to transform Customer Cloud into a scalable, automated product. You will shape deployment patterns across AWS, GCP, Azure, and OpenShift, turning bespoke setups into repeatable templates.

Collaborate with Sales, Success, and Engineering to enable pre-sales, standardize onboarding, and improve reliability. You will own end-to-end delivery from architecture to operability, reducing manual effort and

Qualifikationen

  • Experience designing cloud-native platforms and automation.
  • Ability to architect scalable deployment patterns across multiple clouds.
  • Strong understanding of containerised applications and orchestration.

Aufgaben

  • Own the full lifecycle of Customer Cloud environments, building automation and patterns.
  • Enable technical pre-sales by guiding architecture and deployment approaches.
  • Standardise onboarding and deployment to reduce setup time from months to days.
  • Design reliable, observable environments across AWS, GCP, Azure, OpenShift, and Tanzu.
  • Collaborate with Support and Engineering to capture knowledge and create runbooks.

Kenntnisse

Cloud architecture
Kubernetes
CI/CD

Tools

AWS
GCP
Azure
OpenShift
VMware Tanzu
OpenSearch
Kafka

Jobbeschreibung

About Us

the company is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using the company’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world.

Why this role exists

Customer Cloud is a critical part of the company’s growth. It enables customers to run the company AI in their own cloud environment, meeting regulatory, security, and data residency requirements.

Today, Customer Cloud relies too heavily on bespoke work.

Pre-sales often requires deep engineering input, deployments take longer than they should, and operational responsibility is not evenly distributed.

We are standardising and simplifying this so Customer Cloud becomes easier to sell, faster to deploy, and simpler to operate at scale.

This role exists to help drive that shift. You will help turn Customer Cloud from a bespoke, engineer-heavy process into a standardised, repeatable product.
You will approach Customer Cloud as a platform problem, turning one‑off solutions into automation, patterns, and scalable, reusable systems.
What you’ll do

You will work across the full lifecycle of Customer Cloud environments, building the systems, automation, and patterns that make Customer Cloud easier to sell, faster to deploy, and simpler to operate at scale. You will take ownership of the systems and patterns that make Customer Cloud scalable.

Enable technical pre‑sales

Work with our Sales and Customer Success teams to help them answer technical questions during the sales process.

  • Provide clear guidance on architecture, deployment approaches, and operational expectations so teams can confidently land new Customer Cloud customers.
Standardise onboarding and deployment

Turn Customer Cloud onboarding into a fast, repeatable process.

  • Build automation, tooling, and deployment patterns that reduce environment setup from months to days (or even hours) and remove unnecessary manual effort.
Build reliable, operable environments

Design and evolve deployment patterns that ensure Customer Cloud environments are stable, observable, and easy to operate.

  • Work across platforms such as AWS, GCP, Azure, OpenShift, and Tanzu to reliably run the company across different customer infrastructure environments.
Enable scalable operations and support

Partner with the Technical Support team and engineering teams to resolve complex issues, capture operational knowledge, and turn solutions into runbooks, tooling, and documentation.

  • The goal is simple: reduce repeat issues and minimise day‑to‑day engineering involvement in support.
What good looks like

We deploy new customer environments quickly and consistently.

  • Pre‑sales questions are answered quickly using clear patterns and documentation
  • Customer Cloud environments go live quickly and predictably
  • Fewer incidents caused by environment inconsistencies
  • Technical Support resolves most issues without engineering involvement
  • Customer Cloud becomes a predictable, scalable part of the business
What you’ll need

Solid experience building and operating cloud‑native systems

  • Strong working knowledge of Kubernetes and containerised applications
  • Experience with at least one major cloud provider (AWS, GCP, or Azure)
  • Ability to debug and resolve issues across infrastructure and application layers
  • Comfort working across build and operate, not just feature development
  • Clear, structured thinking: you simplify rather than complicate
Nice to have

Experience with OpenShift or VMware Tanzu

  • Familiarity with data‑heavy systems (e.g. OpenSearch, Kafka, databases)
  • Experience supporting enterprise customers or regulated environments
  • Exposure to CI/CD, infrastructure as code, and deployment automation
How we work

We optimise for outcomes, not activity

  • We build for scale, not one‑off success
  • We reduce complexity wherever possible
  • We take ownership end‑to‑end
The opportunity

Customer Cloud will be a major driver of the company’s enterprise growth. Done well, it becomes a competitive advantage. Done badly, it slows everything down. You’ll be in the middle of that shift, helping us build a Customer Cloud platform that scales with the business rather than slowing it down.

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