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Mid LevelFull-timePythonRustAWSGCPAzureKubernetesCI/CDGoAI
Salary Range
$79,560 - $107,640 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Site Reliability Engineer to join our SaaS Production team and help us ensure high availability, performance, and reliability across our global cloud environments.
Key Responsibilities
- →Support the operation and reliability of JFrog’s large-scale, multi-cloud, Kubernetes-based SaaS environments
- →Troubleshoot complex production issues across distributed systems and work closely with Engineering and Cloud teams to resolve them
- →Contribute to improving system reliability, performance, scalability, and observability
- →Apply SRE best practices, including incident response, service monitoring, capacity considerations, and continuous reliability improvements
- →Participate in on-call rotations and take part in incident investigations and postmortems
- →Build and enhance automation tools (primarily in Python or Go) to reduce operational toil and improve efficiency
- →Assist in improving CI/CD workflows and deployment safety
- →Design and develop AI-based tools and automation to improve operational efficiency and productivity for JFrog’s internal engineering and SaaS teams
- →Support resilience initiatives, including disaster recovery validation and service readiness improvements
- →Continuously learn and explore new technologies that improve operational excellence
Requirements
- ✓1-3 years of experience in SRE, DevOps, Production Engineering, or a similar role in a production environment
- ✓Hands-on experience operating Kubernetes-based containerized workloads in production
- ✓Experience with at least one public cloud provider (AWS, GCP, or Azure)
- ✓Strong troubleshooting and analytical skills with the ability to debug production issues methodically
