Job Summary: The Full Stack Developer will design, develop, and maintain scalable cloud-native applications supporting a unified fraud case management ecosystem. The role combines strong Python and AWS development expertise with data tools and UI development to deliver secure, resilient applications, APIs, integrations, and user experiences for fraud operations and investigative workflows. The ideal candidate will have a strong fraud prevention background, excellent communication skills, and experience with AI-assisted development practices. Key Responsibilities: Design, develop, and maintain scalable applications supporting a unified fraud case management ecosystem. Develop cloud-native services, APIs, integrations, and user experiences supporting fraud operations and investigative workflows. Build resilient and secure solutions that meet enterprise performance, availability, and compliance requirements. Participate in technical design discussions and contribute to architecture decisions. Lead development efforts for complex features and platform capabilities. Perform code reviews and mentor engineers on engineering best practices. Establish patterns for testing, observability, resiliency, automation, and DevSecOps. Partner with architects and technical leads to improve engineering standards. Collaborate with teams supporting existing fraud and case management applications. Participate in solution planning and dependency management across multiple engineering teams. Drive technical alignment supporting the long-term platform strategy. Utilize AI-assisted development tools to improve coding efficiency, testing, documentation, and troubleshooting. Identify opportunities for AI-driven capabilities within fraud operations and investigator workflows. Experiment with emerging AI technologies and contribute recommendations for responsible adoption. Share AI development knowledge and best practices to support secure and effective adoption. Partner with product owners and business stakeholders to understand investigative workflows and operational needs. Contribute to iterative delivery of capabilities that improve investigator experience and operational effectiveness. Support platform enhancements for future regional expansion and evolving business requirements. Required Qualifications: 710+ years of AWS application development experience. Strong Python development experience. Strong understanding of APIs, integrations, distributed systems, and modern application architectures. Experience with fraud prevention, fraud operations, and case management systems. Experience developing scalable cloud-native applications using AWS. Experience with data tools and user interface development. Experience with AI-assisted development tools and modern engineering practices. Strong communication and collaboration skills. Experience contributing to technical design and architecture decisions. Preferred Qualifications: Experience with Node.js APIs. Experience mentoring engineers and leading development efforts for complex platform capabilities. Experience with DevSecOps, observability, resiliency, and automated testing practices. Experience applying AI technologies to fraud operations or investigative workflows. Education: Bachelors Degree
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: compun
- Position Id: CHHDC5886775
- Posted 7 hours ago
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