
For Sber, we developed an enterprise system for biometric authentication and identity verification designed to handle high volumes of biometric authentication sessions with strong security controls, stable operation, and audit-ready architecture. The platform combines modern microservices, encrypted communication, and intelligent load balancing to enable real-time biometric logins across web and mobile platforms.
Challenge
Sber needed a new authentication layer that: • Designed to process high volumes of biometric authentication requests reliably • Is secure, scalable, and fault-tolerant • Supports full logging & compliance • Can be integrated into a containerized infrastructure • Seamlessly integrates with existing identity providers In short: a modern, modular platform for security-critical processes.
Our Approach
1 — Microservice-Based Architecture We developed independent services for: • biometric validation • session and token management • document and ID verification • event and audit logging Communication between services occurs asynchronously via message queues. 2 — Containerization & Orchestration All services were implemented using Docker and operated in Kubernetes: • automatic horizontal scaling • high fault tolerance (self-healing) • rolling deployments designed to minimize service interruptions 3 — Security & Compliance The system was developed with security standards aligned with banking requirements: • encrypted service-to-service communication • multi-factor validation • adaptive throttling mechanisms • comprehensive audit logging and traceability mechanisms 4 — Integration & Extensibility The platform was designed to flexibly integrate into: • existing identity providers • internal banking systems • mobile and web apps
Results
- High-volume biometric authentication handling at scale
- Significantly reduced service interruptions compared to the previous architecture
- Architecture supporting auditability and compliance processes
- Seamless integration with internal and external identity providers
- Designed for stable performance under high load
Metrics reflect project-specific conditions and are not guaranteed outcomes for other systems.
Technical Stack
Backend: Java 17 · Spring
Database: Oracle
Infrastructure: Docker · Kubernetes
Messaging: asynchronous queues
Duration: 18 months
Team: 5 engineers
Why It Matters
The architecture developed in this project sets standards for modern security-critical systems. The same principles — modularity, security, scalability, and clear responsibilities — now flow into our startup and enterprise projects, where reliability and data protection are crucial from the start.
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Client name used based on publicly available project references or with permission.


