Senior Backend Engineer (Data Platform Group)
Tel-AvivOn-siteFull-time
AI Summary
Backend Engineer on BioCatch's Data Engineering team, building backend components and data-focused infrastructure for large-scale data processing. Focuses on reliable data sources, observability, and scalable pipelines for customer-facing features.
About this role
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
Requirements
Skills
AKS (Azure Kubernetes Service)CI/CDCloud Platforms (Azure Preferred)DatabricksData PipelinesData PlatformsDelta LakeDistributed Data ProcessingHigh-scale, Low-latency ServicesIcebergMicroservicesObservabilityPySparkPythonSnowflakeTesting
