Software Engineer – Identity & Fraud Platform

Software Engineer – Identity & Fraud Platform

Job Type: Full Time

Location: Remote in California, Colorado, Texas, Virginia

• Zumigo helps enterprises reduce fraud and verify digital identity using mobile intelligence, telecom data, behaviorial signals, and real-time risk analytics.
• Our API’s power identity verification, account protection, onboarding, and fraud prevention for enterprises, fintechs, and digital platforms.
• We process millions of transactions and build systems that help businesses make trust decisions in real time.
• We are looking for a Software Engineer to help build scalable backend systems, APIs, and fraud intelligence capabilities.

• Build backend services and APIs supporting identity verification and fraud workflows
• Develop scalable distributed services used by enterprise customers
• Work with cloud-native infrastructure and large-scale datasets
• Build APIs exposing fraud risk and identity intelligence signals
• Work with behavioral telemetry and real-time fraud indicators
• Support AI-driven scoring and decisioning workflows
• Collaborate with data teams to integrate intelligent risk models
• Contribute to platform performance, reliability, and monitoring
• Collaborate with engineering, product, and data teams
• Support integrations with third-party identity and telecom providers
• Learn and contribute to AI-enabled fraud detection workflows

• 2-5 years of backend software engineering experience
• Strong Java development experience
• Experience building REST APIs
• Familiarity with Play Framework and Akka or similar backend frameworks
• Understanding of distributed systems fundamentals
• Experience with databases such as MongoDB, Redis, or SQL
• Familiarity with AWS or cloud platforms
• Experience with containerization technologies including Docker and Kubernetes or clustered/containerized deployments
• Strong debugging and problem-solving skills
• Excellent communication skills with ability to interface with partners and customers
• Bachelor’s degree in Computer Science or related discipline

• Python exposure or willingness to work with Python
• Event driven architecture or messaging systems
• AI or machine learning integration exposure
• Experience in fraud, identity verification, fintech, cybersecurity, or telecom domains

• Java
• Python
• Play Framework
• Akka/ Distributed Processing
• MongoDB
• Redis
• REST APIs
• Docker/Kubernetes

• Work on meaningful fraud prevention and identity challenges
• Build systems used by enterprise customers
• Solve real-world backend and data problems
• Learn modern cloud-native engineering practices
• Opportunity to grow into senior engineering ownership

• Strong ownership and collaboration
• Modern backend engineering practices
• Cloud-native systems
• AI-assisted development workflows
• Fast-moving environment with meaningful technical challenges