We are looking for a Backend Engineer to design, build, and own real-time Fraud Risk Management (FRM) systems that evaluate every transaction for fraud and AML risks under strict sub-50ms latency SLAs. The role requires solid proficiency in Python and working experience with GoLang to build high-performance, low-latency backend services. You will design scalable streaming and event-driven systems using Kafka, build efficient algorithms and data structures for real-time decisioning, and optimize PostgreSQL, Redis, and Pinot for quick lookups and aggregations. The role involves deep focus on performance, correctness, idempotency, and reliability, with close collaboration across Risk, Compliance, and Product teams to translate policies into deterministic, production-ready systems running on AWS.

Technical Skill Set Requirements
Programming Languages

• Strong proficiency in Python for production-grade backend services.

• Working experience with GoLang for high-performance components.

• Strong understanding of data structures and control flows.
Algorithms & Data Structures





• Robust problem-solving ability.

• Designing and implementing low-latency algorithms.

• Choosing optimal data structures for real-time decisioning and aggregation.
Streaming & Event Processing

• Experience with Kafka for real-time event ingestion and processing

• Understanding of streaming semantics, ordering, retries, and idempotency

• Designing systems for near real-time fraud detection and rule execution
Databases & Storage

• Strong proficiency in PostgreSQL

• Query optimization for low-latency lookups and aggregations

• Experience with Redis for caching, counters, and quick state access

• Experience with Apache Pinot or similar OLAP stores for real-time analytics and aggregations
Performance & Low Latency Systems

• Designing systems that consistently respond under strict latency SLAs (sub-50ms)

• Efficient use of caching strategies, in-memory computation, and pre

📌 Easebuzz Backend Engineer Pune
🏢 NextHire
📍 Pune