We are building the core backend infrastructure behind Check Point’s Browse Management platform. This is a large-scale, cloud-native security system used globally.

As a core team we're responsible for backend services that must be secure, scalable, observable, and highly available. The systems we build operate at global scale and support mission-critical security workflows.

The Role

As a Senior Backend Engineer, you will design, build, and evolve backend services that power a large-scale SaaS security platform.

You will work closely with frontend, DevOps, and product teams, and play a key role in shaping the next generation of the Browse Management architecture.

If you enjoy solving complex backend challenges, scaling distributed systems, and working on meaningful cybersecurity problems, this role is for you.

Major Responsibilitie

• sDesigning, developing, and maintaining backend services powering a largescale SaaS security platfor
• mBuilding secure, resilient, and scalable architectures using modern AWS services such as EKS, EC2, RDS, SQS, CloudFront, and IA
• MDeveloping and optimizing RESTful and eventdriven APIs, backend integrations, and data flow
• sImplementing best practices for monitoring, alerting, and production reliabilit
• yWriting clean, maintainable, and testable code while contributing to engineering best practices and design standard
• sParticipating in architecture and design reviews and collaborating closely across engineering team
• sOwning production quality endtoend, ensuring performance, reliability, and operational excellenc

e
Desired Backgrou

• nd8+ years of experience in backend or full-stack development for large-scale, cloud-based syste
• ms2+ years of hands-on experience with Python, including FastAPI, Flask, or similar framewor
• ksProven experience building and operating production-grade systems in AWS environmen
• tsStrong understanding of distributed systems, scalability, and multi-tenant architectur
• esExperience with relational databases, including PostgreSQL, MySQL, or Aurora, and data modeli
• ngExperience with asynchronous processing, message queues such as SQS or Kafka, and event-driven desi
• gnFamiliarity with CI/CD pipelines, containers, and orchestration tools like Docker and Kubernet
• esStrong communication and collaboration skil

ls
Nice to H

• aveExperience with AI or ML systems, or telemetry-heavy platfo
• rmsExposure to security, compliance, or data protection doma