Why Join Us?
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.
Qualifications
- 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.