Staff Engineer — Credit Scoring & Data Platform Architect

Lean Technologies, Ltd.; Dubai; On-site; AED 400,000 - 700,000; Full time

Benefits offered by this job

Private healthcare

Equity stake

Flexible office hours

Job summary

Lean Technologies, Ltd. is seeking a Staff Engineer to lead the architecture and execution of credit insights products on the data platform. You will write production code, mentor engineers, and ensure APIs remain fast and reliable across the UAE and KSA client flows.

You will own the technical roadmap, build new finance data products, and collaborate with Product, Data Science, and DevOps to scale insights for credit underwriting while engaging with lenders and regulators.

Qualifications

• 10+ years of backend engineering experience with Java and Spring Boot.
• Experience building and running distributed, event-driven systems in production.

Responsibilities

• Own architecture and technical roadmap of the insights and data platform.
• Write production code and lead implementation of new data products.
• Maintain fast, reliable production APIs in client flows (KSA and UAE).
• Collaborate with Product, Data Science and DevOps to scale insights for credit underwriting.
• Represent Lean in technical sessions with lenders and regulators.
• Mentor engineers and set engineering standards.

Skills

10+ years backend engineering

Java & Spring Boot

Distributed microservices

Kafka / event-driven

Latency & availability targets

Kubernetes / cloud / CI/CD

AI coding tools (Claude Code) usage

Lead architecture across services

Product-minded tech decisions

Fintech experience

Tools

Kafka

Prometheus

Grafana

Kubernetes

Cloud platforms

CI/CD

Python

Job description

Lean Technologies, Ltd. is seeking a Staff Engineer to lead the architecture and execution of credit insights products on the data platform. You will write production code, mentor engineers, and ensure APIs remain fast and reliable across the UAE and KSA client flows.

You will own the technical roadmap, build new finance data products, and collaborate with Product, Data Science, and DevOps to scale insights for credit underwriting while engaging with lenders and regulators.