delivery

on AWS

registry, security scanning

? Administering supporting services for infrastructure including container

registry, security scanning and monitoring. 

? Creating AMIs with Ansible and Packer

? Monitoring infrastructure performance and uptime using tools like

Datadog

Pilot for migrating a project to AWS EKS and implementing GitOps with

ArgoCD.

Looking to continue leveraging my DevOps skills and

automating infrastructure on AWS.

development teams

Actions, Jenkins and Octopus Deploy

Terraform

DevOps Engineer focused on enabling development teams through

infrastructure and deployment automation.

Skilled at:

?   Administering Google Kubernetes Engine and on-premise

? Provisioning a portion of infrastructure as code using Terraform on

container registry and security scanning.

Automating systems processes through Python and Bash scripting

Experience administering Kubernetes clusters, implementing CI/CD,

and automating infrastructure on Google Cloud Platform. Expertise

includes tools like Terraform, GitLab CI, ArgoCD, Helm, and

monitoring solutions.

Systems Engineer automating systems and processes to improve efficiency and reduce manual work.

Technical Skills:

• Developing proofs of concept for automating processes within Linux and Windows servers
• Implementing network failover solutions using Squid and UCarp for proxy and automatic IP failover detection
• Automating systems and processes using Ansible for both Linux and Windows servers
• Automating Windows Server creation and package installation/maintenance using Ansible and Chocolatey
• Monitoring systems performance using Graylog

Experience:

• Developed proofs of concept to identify opportunities for automating server processes and workflows
• Implemented network failover solutions to improve uptime and fault tolerance
• Automated Linux and Windows server configuration, package installation and ongoing maintenance using tools like Ansible and Chocolatey
• Monitored systems performance and stability using Graylog

Results:

• Reduced manual work and configuration errors through automation and standardization
• Improved mean time to resolution through automated monitoring and alerting
• Increased infrastructure stability and uptime through network failover and automated maintenance