Senior Site Reliability Engineer at Cisco Systems

Architected and implemented multi-cloud infrastructure leveraging Terraform, Helm, and ArgoCD, reducing provisioning time by 75% and eliminating configuration drift. Designed and maintained GitOps-based CI/CD pipelines with GitHub Actions and Terraform Cloud, improving release success rate by 60% and deployment consistency. Automated incident detection and remediation workflows using AWS Lambda, Ansible, and Python, reducing MTTR by 40%. Established observability and alerting standards with OpenTelemetry, Datadog, and Grafana, reducing false positives by 35%. Implemented vulnerability scanning and container image validation via Trivy, Grype, and AWS Inspector, achieving full compliance and zero unresolved critical vulnerabilities. Built blue/green and canary deployment frameworks for zero-downtime rollouts. Partnered with InfoSec to enforce least-privilege IAM, centralized secrets management (Vault), and MFA, strengthening SOC2 compliance. Applied FinOps strategies reducing non-prod cl

Site Reliability Engineer at Korber Supply Chain

Integrated Datadog, Moogsoft, and LogicMonitor across OCI environments, improving anomaly detection accuracy and reducing MTTR by 45%. Engineered disaster recovery automation via cross-region replication and snapshot orchestration, sustaining 99.99% system availability. Developed Python and Shell automation for ETL and operational tasks, reducing manual workload by 10+ hours weekly. Enforced OCI IAM and MFA policies with granular permissions to ensure zero non-compliance during audits. Defined and implemented SLOs/SLIs, reducing on-call noise by 25%. Automated CI/CD pipelines for Oracle workloads using Terraform and Ansible, boosting deployment frequency by 50%. Integrated PagerDuty and Moogsoft for automatic escalation, decreasing MTTR by 30%. Conducted RCA and post-incident documentation to improve knowledge sharing.

Site Reliability Engineer (Contract) at Optum (UnitedHealth Group)

Automated Azure resource provisioning with Terraform and Python, reducing provisioning time by 60% and improving deployment consistency. Designed GitHub Actions-based CI/CD pipelines supporting containerized microservices, achieving 100% zero-downtime deployments. Deployed Dynatrace and Splunk for unified observability, maintaining 99.9% uptime across healthcare APIs. Optimized kernel tuning for backend/container workloads, reducing API latency by 25% and increasing throughput. Embedded policy-as-code and DevSecOps automation for continuous compliance, minimizing manual reviews. Automated incident response workflows integrating PagerDuty with Dynatrace APIs, improving SLA adherence by 30%. Built real-time dashboards with Azure Monitor for root-cause visibility. Partnered with development teams to introduce reliability testing pipelines and prevent regressions.

Site Reliability Engineer (Contract) at JPMorgan Chase

Automated AWS environment setup and scaling using Python, Lambda, and CloudFormation, improving provisioning time by 40%. Integrated Datadog dashboards for pre-production testing and performance validation, reducing post-deployment incidents by 35%. Built Ansible-based remediation playbooks to auto-resolve common alerts, lowering triage time by 60%. Developed CI/CD automation integrating GitHub, ServiceNow, and Jira for audit-ready change control and version tracking. Strengthened IAM and key rotation policies with zero exceptions in security audits. Monitored application health and enforced error budget alerts, improving reliability and SLA compliance. Conducted postmortems to eliminate recurrence of critical incidents.