Robin Duhan

• Architected and delivered a kubelet credential provider solution that eliminated imagePullSecret management across 100+ AWS, GCP and Azure clusters; adopted a secure, scalable credential approach for Artifactory to ensure high availability and robust regional failure tolerance. • Architected a multi-agent JIRA-to-PR workflow that reduces time-to-production by 60%, ensuring agent compliance through test-driven development and strict guidelines.md enforcement. • Developed a secure on-call AI agent leveraging Slack, Jira, and logs for automated triage, capable of spinning up sandboxed environments for issue reproduction while restricted to audited helper tools. • Authored and maintained custom Terraform providers and provider integrations for JFrog, enabling teams to provision platform resources declaratively and securely via IaC at scale. • Built and published Helm charts, RPM/Deb installers, and an installation-safety utility to harden customer installs that improved install reliability and prevented misconfiguration regressions. • Implemented an end-to-end testing harness (kuttl) for Helm chart lifecycles, that complimented application-level e2e tests, enabling automated regression validation and faster, safer releases. • Designed and deployed observability and alerting for JFrog Product using Prometheus and Grafana, optimizing AWS infrastructure performance, managing cloud costs, and creating actionable alerts that significantly reduced time-to-detection for critical failures. • Automated complex CI/CD flows using Jenkins, GitHub Actions, and JFrog Pipelines; created reproducible release pipelines and automated OpenShift cluster lifecycle tasks with Python tooling

• Developed a Kubernetes Operator that enforces delete-safety policies, prevents accidental resource deletions, and automates intelligent crash detection and recovery across clusters. • Architected a highly scalable data ingestion and analytics stack (Kafka) managing multiple GBs of logs and 4M+ daily transactions; optimized throughput and reduced end-to-end pipeline latency for business-critical payment systems. • Architected and managed AWS-based production clusters handling 100% of Fintech transactional traffic; ensured 99.999% availability, seamless zero-downtime upgrades, and strict adherence to payment industry security and compliance standards. • Owned Istio and Envoy configuration and safe cutovers via host-based virtual services to protect production traffic during deployments and topology changes.