Sr. Software Engineer- Identity & Fraud Platform

Sr. Software Engineer
- Identity & Fraud Platform

Job Type: Full Time

Location:

Remote in California, Remote in Colorado, Remote in Texas, Remote in Virginia

About Zumigo:

• Zumigo helps enterprises reduce fraud and verify digital identity using mobile intelligence, telecom data, behavioral 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 Senior Software Engineer to help build real‑time AI‑powered fraud and identity systems.

What You’ll Do:

• Design and build scalable backend services and APIs
• Develop systems that process identity, fraud, and telecom signals in real time
• Build distributed services supporting high‑volume transactions
• Build backend services powering AI‑driven fraud detection and identity intelligence
• Integrate machine learning models into real‑time decisioning APIs
• Work with feature pipelines, behavioral signals, and risk scoring systems
• Support inference pipelines for fraud risk models and anomaly detection
• Collaborate with data scientists to product ionize AI models
• Build systems that expose AI‑generated trust and fraud signals to enterprise customers
• Improve platform reliability, performance, and observability
• Work with cloud‑native infrastructure and large‑scale datasets
• Collaborate with engineering, product, and data teams
• Participate in architecture decisions and technical roadmap planning
• Mentor junior engineers and contribute to engineering best practices

Required Skills:

• 7+ years of backend software engineering experience
• Strong Java development experience
• Experience building REST APIs and distributed systems
• Experience with Play Framework and Akka or similar distributed processing frameworks
• Experience with AWS or cloud infrastructure
• Experience with databases such as MongoDB, Redis, or SQL
• Familiarity with integrating AI/ML models into production systems
• Understanding of model inference APIs, feature engineering, or scoring pipelines
• Experience working with high‑volume behavioral or telemetry data
• Understanding of fraud analytics, anomaly detection, or risk scoring concepts
• Strong debugging and production troubleshooting skills
• Understanding of scalable system design and performance optimization
• Experience with containerization and orchestration technologies including Docker and Kubernetes or clustered/containerized deployments
• Excellent communication skills with ability to interface with partners and customers
• Bachelor’s degree in Computer Science or related discipline

Nice to Have:

• Python experience
• AI or machine learning integration exposure
• Event‑driven architecture or messaging systems
• Experience in fraud, identity verification, fintech, cybersecurity, or telecom domains

Tech Stack:

• Java
• Python
• Play Framework
• Akka/Distributed Processing
• Model Serving APIs
• AI‑assisted development workflows
• LLM integration or intelligent decisioning systems
• MongoDB
• AWS
• REST APIs
• Docker/Kubernetes

Why Join Zumigo:

• Work on meaningful fraud prevention and identity challenges
• Build systems used by enterprise customers
• Solve large‑scale backend and data problems
• Small team with high ownership and impact
• Opportunity to help shape AI‑enabled identity intelligence

Engineering Culture:

• Strong ownership and autonomy
• Cloud‑native architecture
• Modern engineering practices
• AI‑assisted development workflows
• Fast‑moving environment with real technical challenges

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