Sai Udheep
Cloud & DevOps Engineer | AWS | Azure | GCP | Kubernetes | Terraform | CI/CD | GitOps - ArgoCD | Observability | Looking for W2, C2C and C2H roles.
- Role
- Devops Application Support Engineer at Capco
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Sai Udheep
Site Reliability / Application Support Engineer with 5+ years of experience supporting large-scale cloud-based applications in AWS and GCP environments. Experienced in L2/L3 production support, incident management, root cause analysis, and application reliability. Proven ability to troubleshoot distributed microservices, monitor production systems, and improve service stability using automation and observability tools.Specialized in designing enterprise-grade CI/CD pipelines, Infrastructure as Code (IaC) frameworks, and container orchestration platforms (EKS, GKE, OpenShift).Proven expertise in implementing GitOps (ArgoCD, Flux), DevSecOps (SonarQube, OWASP ZAP, Burp Suite), and cloud observability frameworks using Prometheus, Grafana, Splunk, and Dynatrace.Passionate about building reliable, secure, and scalable cloud solutions that bridge development and operations through automation, collaboration, and continuous improvement.
Experience
Devops Application Support Engineer
Jun 2025 — Present · Charlotte, NC, US
Provided L2/L3 production support for cloud-based microservices applications running on Kubernetes.Managed incident response, troubleshooting, and root cause analysis for production issuesMonitored application health and performance using Splunk, Prometheus, and Grafana Conducted blameless post-mortems and implemented remediation plansConducted blameless post-mortems and root cause analysis for critical incidents, implementing automation fixes to prevent recurrence. Collaborated with development teams to identify resiliency gaps and improve application reliability.Monitored batch workflows and scheduled operational jobs using enterprise scheduler tools and automated scripts.Proven ability to troubleshoot complex production issues under pressure and restore service availability within defined SLAs.
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