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HawkHA

Customer Cloud Engineer

Fight financial crime. Increase your risk coverage.

Hawk
Germany only

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Customer Cloud Engineer to drive the standardisation and simplification of Customer Cloud, turning it from a bespoke, engineer-heavy process into a standardised, repeatable product.

Requirements

  • 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

Benefits

  • Generous Paid Time Off
  • 401k Matching
  • Retirement Plan
  • Visa Sponsorship
  • Four Day Work Week
  • Generous Parental Leave
  • Tuition Reimbursement
  • Relocation Assistance

About the job

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Posted on

Job type

Full Time

Experience level

Location requirements

Hiring timezones

Germany +/- 0 hours

About Hawk

Learn more about Hawk and their company culture.

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Fight financial crime. Increase your risk coverage. Improve efficiency. Banks and payment companies worldwide use Hawk's award-winning AML and CFT technology powered by explainable AI to identify more financial crime and reduce false positives. Combine AML transaction monitoring, payment screening, and pKYC in one tool and add fraud prevention for even more comprehensive coverage.

Our solutions for financial institutions include transaction monitoring and payment screening which helps increase risk coverage and maximize efficiency by combining modules in one interface. With the option of explainable AI, we significantly increase performance while reducing false positives. Additionally, our customer screening tool allows for screening against global sanctions lists, watchlists, politically exposed persons (PEP) lists, and adverse media databases. We strive to maintain due diligence throughout the customer lifecycle using dynamic and static data, enabling our clients to maximize their risk coverage and efficiency effectively.

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