About G2 Risk Solutions
G2 Risk Solutions is a global leader in risk intelligence and compliance solutions for the payments, financial services, and digital commerce industries. Using AI, machine learning, and large-scale web intelligence, we help organizations detect hidden risks, uncover critical insights, and make smarter business decisions.
Our platforms process hundreds of millions of domains and digital entities, powering fraud prevention and risk detection solutions for customers worldwide.
We're looking for an experienced Engineering Team Lead to lead a multidisciplinary team building the data platforms and AI-powered services behind our fraud and risk intelligence products.
This is a hands-on leadership role combining engineering management, software architecture, and modern data platform expertise. You'll lead Software Engineers, Data Engineers, Data Scientists, and Data Analysts while driving technical excellence, scalable architecture, and high-impact product delivery.
Beyond building systems, you'll ensure our products continuously improve through measurable data quality, model performance, and operational metrics.
What you'll do
Lead and mentor a multidisciplinary engineering team.
Define the technical vision and architecture for scalable data platforms and AI-powered services.
Build and scale distributed, cloud-native systems powering our fraud and risk intelligence products.
Experience with cloud-native architectures (AWS preferred).
Strong programming skills in Python, Java, or similar.
Solid understanding of modern data platforms and large-scale data processing.
Excellent communication and stakeholder management skills.
Nice to have
Experience with technologies such as:
Apache Spark
Kafka
Kubernetes & Docker
Airflow
EMR / Databricks
Iceberg / Delta Lake
Infrastructure as Code
CI/CD and GitHub Actions
Monitoring & Observability platforms
You'll thrive in this role if you're a hands-on technical leader who enjoys solving complex engineering challenges, mentoring high-performing teams, and partnering across functions to build scalable, data-driven products with measurable business impact. As a key leader, you'll help shape the future of the organization by hiring, developing, and growing a world-class engineering team.