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
- AI-assisted development workflows
- 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.