I am a Senior DevOps / Platform Engineer with more than 4.5 years of production experience operating Linux, cloud, Kubernetes, and enterprise platform environments.
I build and maintain reliable delivery platforms using AWS, Red Hat OpenShift, Kubernetes, Docker, Helm, ArgoCD, and GitOps practices. I have supported production environments hosting more than 200 microservices.
I automate infrastructure provisioning, configuration management, and platform deployments with Ansible, Terraform, Bash, and CI/CD tooling. My experience includes GitLab CI/CD, GitHub Actions, and declarative continuous delivery workflows.
I have developed internal engineering productivity solutions using Python, Flask, SQLAlchemy, and PostgreSQL. One analytics platform I built reduced developer unproductive time by 40%.
I am experienced in incident escalation, observability, and root-cause analysis using Splunk, Prometheus, and Grafana. I focus on improving deployment consistency, rollback reliability, release frequency, and MTTR.
I am seeking a remote DevOps or Platform Engineering role with a global company, where I can collaborate effectively across international teams and time zones.
Served as a senior escalation resource for complex production incidents involving Kubernetes, CI/CD pipelines, Linux environments, and monitoring stacks.
Built and operated enterprise platform capabilities using AWS, Kubernetes, Terraform, Ansible, Red Hat OpenShift, ArgoCD, Helm, and GitOps workflows. Partnered with enterprise clients to optimize Linux infrastructure and apply cloud-native operational practices.
Administered enterprise RHEL environments and supported deployment of Red Hat Ansible Automation Platform, Red Hat Satellite, and OpenShift solutions for enterprise customers.
Created Ansible playbooks for platform deployment, configuration management, and infrastructure provisioning, reducing operational setup effort. Supported Linux infrastructure optimization and applied automation and cloud-native tooling.
Operated and maintained a high-scale Red Hat OpenShift production platform hosting more than 200 microservices. Architected Helm charts and GitOps-based continuous delivery pipelines using ArgoCD to improve deployment consistency, release frequency, and rollback reliability.
Developed an internal engineering productivity analytics platform with Python, Flask, SQLAlchemy, and PostgreSQL, reducing developer unproductive time by 40%. Created Splunk dashboards and automated alerting to reduce MTTR and accelerate incident root-cause analysis.
Intensive Software & Infrastructure Engineering Program, Software and Infrastructure Engineering
Comprehensive curriculum covering systems engineering, Linux architecture, networking, Python, Bash, Docker, Kubernetes, CI/CD automation, and enterprise infrastructure management.
Enterprise Training Coursework, RHEL, Ansible Automation Platform, OpenShift, and Satellite
Completed coursework in RHEL, Ansible Automation Platform, OpenShift, and Red Hat Satellite.
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