Senior Backend Engineer (Python) – Fraud Detection & AI Systems

suntech innovation • United Arab Emirates

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AI Summary

Design, build, and own high-throughput, event-driven Python services for real-time fraud detection, recommendations, and GenAI in a multi-product SaaS platform. Collaborate with cross-functional teams to productionize data science experiments into scalable, observable systems while ensuring code quality, reliability, and performance. Drive system architecture, troubleshoot production issues, and mentor peers in a high-autonomy engineering culture.

Key Highlights

Own end-to-end development of production-grade Python services for fraud detection, recommendations, and GenAI

Work with async Python, Kafka, Redis, and databases (SQL/NoSQL) to build high-throughput pipelines

Transition data science experiments into robust, scalable systems with strong ownership and on-call responsibility

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Key Responsibilities

Design and implement production Python services including APIs, stream consumers, batch pipelines, feature stores, scheduled jobs, and background workers

Write and optimize SQL queries, schemas, and database designs (relational/non-relational) for performance and scalability

Ensure engineering standards for code quality, testing, observability, and deployment discipline

Productionize data scientists’ experiments into reliable, scalable services with full ownership

Diagnose and resolve production issues independently and as part of on-call rotations

Contribute to system architecture discussions and implementation approaches

Conduct code reviews to elevate team standards and ship high-quality solutions

Collaborate with cross-functional teams (ML engineers, QA, data scientists) to deliver end-to-end solutions

Technical Skills Required

Python SQL Kafka

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Benefits & Perks

Discretionary annual bonus (individual/team/company performance-based)

Comprehensive medical insurance

Visa sponsorship

Annual flight allowance

Hybrid and remote working flexibility

Learning and conference budget

Annual leave

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Nice to Have

Graph databases (Neo4j)

PostgreSQL internals (MVCC, autovacuum, partitioning, connection pooling)

PySpark and Databricks

Kubernetes

LLM-powered systems and vector stores

Fraud detection, recommendation, or personalization systems experience

Prometheus and Grafana

SaaS or high-scale product domain experience

Job Description

Build and own high-throughput, event-driven Python services powering real-time fraud detection, recommendations, personalization, and GenAI across a multi-product SaaS platform.

About us

We are a product R&D company that creates solutions for the dynamic iGaming ecosystem. Our

mission is to build cutting-edge platforms that reinvent the iGaming industry.

About the team

We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We

work across personalization, recommendation, fraud detection, and some GenAI, through real-

time, near-real-time, and batch pipelines. The team is a blend of Python backend engineers, ML

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