We are looking for a Site Reliability Engineering (SRE) & Production Team Leader to join our Engineering team. Someone who has a passion for observability, monitoring, automation, and high-availability systems, and who has a desire to solve complex technological challenges with a proactive approach to continuous improvement.

We use an interesting and mixed technology stack: Kubernetes, Terraform, CI/CD pipelines, Datadog, Prometheus, and cloud-native architectures.

In this position, you will use your expertise in building and scaling SRE operations, and will design, implement, and operate a world-class reliability strategy.

About Us

Check Point is a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.

Major Responsibilities

• Design, build, and manage our SRE framework to ensure observability, resilience, and high availability.
• Develop and automate solutions for proactive monitoring, incident response, and performance optimization.
• Improve and maintain our alerting and monitoring stack, leveraging tools like Datadog, Prometheus, and Grafana.
• Lead post-mortem analysis and implement continuous improvement initiatives.
• Collaborate with DevOps, Engineering, and Product teams to ensure smooth and efficient delivery of reliable services.

Desired Background

• SRE & Production Manager with 5+ years of experience in SRE, Production Engineering, or DevOps, including 2+ years in a leadership role.
• Experience with monitoring and observability tools like Datadog, Prometheus, and Grafana.
• A problem solver, capable of finding creative solutions and getting things done.
• Fluent with incident management, RCA processes, and operational best practices.

It would be great if you also have:

• Experience in high-scale distributed systems.
• Background in security and compliance for cloud infrastructure.
• Familiarity with AWS (EKS, EC2, RDS, S3, networking configurations).
• Understanding of cost optimization and resource management in cloud environments.
• Familiarity with machine learning or predictive analytics for proactive reliability management.
• Proficiency in Python, Go, or Bash for automation and scripting.