BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com.

We are looking for a Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing.

You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company.

Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility.

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 across the company to ensure data processes meet their requirements

Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices

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 across the company to ensure data processes meet their requirements
Maintain high engineering standards: testing, observability, clean code, and solid 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 with different configurations
Experience with at least one major cloud platform (Azure preferred)

Advantages / 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

Personal Attributes

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