We are looking for a Site Reliability Engineer (SRE) 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.
Key Responsibilities
Develop and maintain our monitoring, alerting, and logging systems, ensuring high visibility into production environments.
Implement automation to improve system reliability, scalability, and efficiency.
Troubleshoot and resolve production incidents, leading root cause analyses and implementing permanent fixes.
Collaborate with software engineers and DevOps teams to enhance application performance and resilience.
Continuously improve operational processes, focusing on reducing toil and improving reliability.
Requirements: 3+ years of experience as an SRE, DevOps Engineer, or in a similar role.
Hands-on experience with monitoring and observability tools like Datadog, Prometheus, and Grafana.
Strong understanding of Linux systems, networking, and cloud-native architectures.
Experience with Kubernetes, Terraform, and CI/CD pipelines.
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).
Proficiency in Python, Go, or Bash for automation and scripting.
Understanding of cost optimization and resource management in cloud environments.
Familiarity with machine learning or predictive analytics for proactive reliability management.
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