Systems Engineer (Gilab and JFrog)

Location: San Diego – onsite. No C2C or third-party vendors.

About the role

Cloud Systems Engineer operating critical developer platforms: enterprise GitLab (3,000+ users) and JFrog Artifactory (required experience) across commercial and regulated market environments. Work independently on complex infrastructure challenges and drive operational excellence.

Responsibilities

• Operate GitLab and Artifactory platforms with high availability across multiple datacenters
• Execute upgrades, security patching, and infrastructure modernization with minimal downtime
• Manage GitLab Geo replication, PostgreSQL HA clusters, and Artifactory Hub/Edge architectures
• Build observability dashboards using Grafana, Prometheus, and Splunk, and establish SLIs, SLOs, and SLAs
• Implement GitOps patterns and support Kubernetes migrations
• Develop automation for self-healing and automated remediation
• Collaborate cross-functionally on migrations and architecture decisions
• Participate in an on-call rotation and drive MTTR reduction

Qualifications

• BS in computer science or equivalent experience
• 5+ years operating enterprise-scale platforms
• 3+ years of GitLab self-managed administration with Geo and HA
• 3+ years of Artifactory administration with Hub/Edge architectures
• 2+ years of operational Kubernetes experience with Helm or Helmfile
• 5+ years of Linux administration experience with RHEL or CentOS
• PostgreSQL HA cluster management experience; Patroni preferred
• Experience with load balancers such as F5 or NGINX, DNS, TLS, and network troubleshooting
• Monitoring experience with Grafana, Prometheus, and Splunk
• Automation experience with Ansible, Puppet, Python, and Bash
• Experience with CI/CD pipelines and artifact promotion
• FedRAMP IL4 or IL5 experience preferred
• Strong collaboration skills and a continuous learning mindset

Skills

• JFrog Xray and GitOps experience, including ArgoCD or Flux (preferred)
• Supply chain security experience, including SBOMs and image signing (preferred)
• Policy-as-code experience with OPA (preferred)
• Cloud platform experience across AWS, Azure, or GCP (preferred)