Remote Customer Success Engineer (Java & Cloud)

Feedzai

United States

Remote

USD 90,000 - 150,000

Full time

14 days+
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Job summary

Feedzai, the world’s leading RiskOps platform provider, seeks a Software Engineer in the Customer Success Engineering group to install, configure, and customize our Fraud Risk Scoring solutions for major banks and financial firms. You will develop Java interfaces, integrate databases, and build extensions to support client requirements across on-premise and cloud environments.

You will collaborate with Data Scientists, Project Managers, and Fraud Analysts, ensuring successful deployments,

Qualifications

  • BS or MS in computer science or equivalent.
  • 2+ years of Java software development experience.
  • Experience with SQL or NoSQL databases.
  • Client engagement experience and ability to work with clients consultatively.
  • Excellent English communication skills, both verbal and written.
  • Availability to travel up to 15%.

Responsibilities

  • Execute full software development life cycle building integrations and enhancements to Feedzai core product.
  • Write well-designed, testable code.
  • Integrate multiple software components into a fully functional software system.
  • Troubleshoot, debug and upgrade existing systems.
  • Deploy and support systems in production.
  • Comply with best practices and industry standards.
  • Work with Agile principles to regularly deliver quality products.
  • Provide Second Tier support for clients that are live.

Skills

Java development
SQL/NoSQL experience
Client engagement
English communication

Education

BS/MS in computer science

Job description

Feedzai, the world’s leading RiskOps platform provider, seeks a Software Engineer in the Customer Success Engineering group to install, configure, and customize our Fraud Risk Scoring solutions for major banks and financial firms. You will develop Java interfaces, integrate databases, and build extensions to support client requirements across on-premise and cloud environments.

You will collaborate with Data Scientists, Project Managers, and Fraud Analysts, ensuring successful deployments,

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