Senior Software Engineer- Data Engineering

Description

Curious how a streaming platform handles millions of events an hour and never drops one? Come build ours.

We're looking for a Senior Data Engineer to design, build, and scale the streaming services at the heart of our next-generation data platform. This is an individual contributor role for an engineer who has spent years in Kafka and Java, who knows what it takes to keep microservices healthy under real load, and who treats GenAI as part of the toolkit rather than a buzzword.

This job is located in Tel Aviv (hybrid).

About Us

At Check Point, we’re creating the industry’s leading SASE platform, merging advanced security with seamless connectivity. Our mission is to empower businesses to thrive in a cloud-first world, and data is at the heart of this transformation.

Why You’ll Love This Role

• Design and scale real-time data pipelines that process tens of millions of events per hour, end to end
• Work with cutting-edge technologies: Kafka, Java microservices, AWS, and modern GenAI tooling across the SDLC
• Set technical direction for a domain that directly affects customers globally

Major Responsibilities

• Architect, build, and own scalable Java microservices for streaming ingestion, enrichment, and processing
• Drive Kafka design decisions — topics, partitioning, consumer groups, back-pressure, delivery semantics and tune them for throughput and reliability
• Make scaling calls based on data: load tests, profiling, capacity planning, and production telemetry
• Embed GenAI across the SDLC: code generation, code review, test authoring, debugging, design exploration and share your knowledge with the team
• Partner with architects, product managers, and data consumers to turn ambiguous requirements into resilient systems

Desired Background

• 7+ years of hands-on backend engineering, with strong production experience in Java and Apache Kafka
• Proven track record designing and scaling microservices that handle high-throughput, low-latency workloads on AWS
• Deep practical understanding of distributed systems: consistency, fault tolerance, observability, performance
• Working fluently with GenAI tools across the development lifecycle, and a point of view on where they help and where they don't
• Quarkus and Kafka Streams experience — advantage
• A curious, motivated engineer who genuinely enjoys data challenges and digs into the hard ones
• BSc in computer science / software engineering
• Fluent English (written and spoken)