Backend Engineer (Data Platform Group)

TL;DR

Backend Engineer (Data Platform Group): Design and maintain core microservices and data pipelines for large-scale data processing with an accent on reliability, clear SLAs, observability, and flexibility. Focus on building high-volume data infrastructure, optimizing performance and cost at scale, and collaborating with cross-functional teams on customer-facing features.

Location: Israel - TLV (onsite)

Company

Leader in Behavioral Biometrics using machine learning to analyze user behavior for fraud prevention, serving 34 of the world's largest 100 banks.

What you will do

• Design and implement infrastructure for high-volume data processing
• Continuously improve performance, cost, and reliability at scale
• Collaborate with frontend teams on customer-facing features and applications
• Work with stakeholders to ensure data processes meet their requirements
• Maintain high engineering standards: testing, observability, clean code, and CI/CD practices

Requirements

• 3–5 years of experience in backend development
• Strong hands-on experience with Python
• Experience building high-scale, low-latency, robust services deployed across multiple AKS namespaces/regions
• Experience with at least one major cloud platform (Azure preferred)

Nice to have

• Experience with modern data platforms – Snowflake / Delta Lake / Iceberg
• Experience with distributed data processing (Databricks, PySpark, or similar)
• Experience with leadership — team management, project ownership, or task management

Culture & Benefits

• Ownership mindset and accountability expected
• Passion for performance, scale, and cost-efficiency
• Strong communication and collaboration with cross-functional teams