Sr. Software Engineer- Identity & Fraud Platform
Key Skills for This Role
Full Job Posting
About Zumigo
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 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 API’s
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 productionize 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 API’s
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
Fast-moving environment with real technical challenges
Apply
If you enjoy solving complex backend problems, building scalable APIs, and working on identity and fraud intelligence systems, we’d love to hear from you and receive your resume.
About Zumigo
Provider of digital identity verification and fraud prevention software.
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