As DevOps Engineer II I work closely with development teams and cloud operations to bridge operational gaps, build CI/CD pipelines, deploy and monitor cloud infrastructure, help architect and design cloud-native software and solutions, and overall advocate for DevOps philosophy within ADX Labs.● Designed a reference Kubernetes architecture for newly developed cloud apps and helped drive container adoption within the company.● Built and maintained Infrastructure-as-Code via Pulumi to deploy cloud infrastructure such as EKS, ECS, EBS, RDS, S3 and more.● Led Evaluation and adoption of IaC tools(Pulumi vs Terraform vs AWSCDK).● Rewrote and improved existing Terraform modules into reusable Pulumi packages.● Implemented CI/CD Workflows using GitLab CI/CD, Jenkins, and AWS CodeDeploy to enable developers to quickly build out cloud-native software.● Provided best practice guidelines for DevOps philosophy to help achieve a secure and reliable deployments.● Automated various workflows within IT to reduce operational delay and greatly reduce time to move to production.

● Identified core failure points within an inherited applications running on Kubernetes, saving the company thousands by mitigating possible down-times and restoring functionality.● Migrated physical machines and on-prem VMs to AWS Cloud, reducing operational costs and improving scalability.● Greatly improved security by reducing high-risk situations by helping implement a standard SSO for company access to AWS and other cloud services, reducing or eliminating permanent IAM keys, implementing AWS Session Manager over SSH, and crafting access policies around source control.● Worked with developers on Jenkins and Ansible to improve deployment speed and resiliency.● Designed and built out VPC standards following best-practice guidelines to ensure resiliency and security of our AWS Network.● Built reusable Terraform modules for deploying standard configured AWS infrastructure.

Worked directly with customers on ScienceLogic to utilize ScienceLogic to its fullest.Provided tuning, scaling, and configuration of ScienceLogic platform to fit customer requirements.Automate deployment and configuration of ScienceLogic Agent on customer systems.Integrated ScienceLogic into various systems using python scripts with the ScienceLogic automation.Create detailed documentation for operating the ScienceLogic platform.Provide consultation on best-practices for using ScienceLogic.

AppFirst was purchased by ScienceLogic in July 2016Provided support to internal development through a ticketing queue.Helped maintain and manage KVM and Xen Hypervisor clusters.Customer Support for on-premise Hbase installations and management/maintenance.Worked with internal developers on various test cases and systems for development of collection agent.Provided feedback for various technologies and worked with development on Docker, Linux, and Hadoop.Management of VM resources within a vSphere cluster.

Provide system operations to ensure platform is operating correctly.Troubleshooting and debugging of Linux serversManagement of Hbase and Hadoop clusters used for backend data storeProvide additional customer supportConfiguration management of backend servicesDevelopment of automated server provisioning and configuration through the Fabric libraryDevelopment of automated operations for server and service managementProvisioned and configured Linux KVM to use as a cloud/virtual environment for our architecture