Responsibilities

• Lead a small DevOps team respondsible for managing the Audigent Real Time Data Platform
• Set team objectives and tracked progress assuring they line up with business priorities
• Managed integrations with other partners in AdTech Realm
• Solidifiy and productionize the real time data and publisher platformers
• Automate code Building & Release process for developers
• Enable developers to get code to production faster and safer, with easier rollbacks and less
• Ensure security practices are up to standards to ensure data security for our platform and the clients consuming it

Projects

• Investigate utilization of Kubernetes on baremetal servers to achieve near baremetal network performance in a high throughput, low latency environment to reduce cost and match demand curve closer
• Build out monitoring platform, setting up a team oncall rotation and establishing runbooks to assist on call handle incidents in real time
• Establish Terraform and ansible practices to make scale up simple and reduce blast redius on failures

Technologies Used

Terraform | Python | Golang | Ansible | Prometheus | Grafana | Ubuntu | AWS | GCP | Cloudflare | Javascript | Haproxy | Nginx | Docker | Kubernetes

Responsibilities

• Managed critical infrastructure running PC Connections production ecosystem
• Responding to security incidents with the Azure Platform
• Managed kuberenetes releases of code from contractors
• Consulted the linux adminstration team on migration preperation to new datacenters

Projects

• Migration of legacy infrastrcuture to Azure Cloud
• Ingegration of Hashicorp Vault into Connections ecosystem for certificate & secret management
• Setup Databricks and started company migration to utilizing this for its data lake platform

Technologies Used

Kubernetes | Terraform | Python | Ansible | Docker | Packer | Redhat | Azure | AzureDevOps | DataDog | Databricks | Hashicorp Vault

Responsibilities

• Hired in as Site Reliability Engineer and was promoted to a Senior in April 2020
• Manage all of Criteo's cloud infrastructure
• Work to integrate aquisitions into criteo network
• Maintain legacy cloud infrastructure
• Ease developer ability to utilize cloud resources on projects through
• Improved Observability on legacy platforms by implementing prometheus into the environment

Projects

• Design and built CICD pipeline for Terraform code
• Design and built BlueGreen CD system for Immutable Cloud Infrastructure deployments
• Expanding & stabilizing legacy platform to handle unprecidented growth
• Implemented quickly deployable Cloud Resources to allow for testing software builds before taking them to production

Technologies Used

Terraform | Python | Go | SaltStack | Chef | Ansible | Packer | Prometheus | TestKitchen | Jenkins | DataDog | AWS | Azure | Ubuntu | Centos

Responsibilities

• Deploy & scale infrastructure for clients
• Participate in on call to resolve production issues in a timely manner
• Support developers needs as software needs changed, investigating new technologies and adding them to our systems
• Maintaining our Configuration as Code Repository, making changes that improved release time and consistency

Projects

• Built an inhouse deployment framework to ease new releases for customers
• Built a scalable Jenkins slave cluster to more closely match developer demand for system resources
• Lead change from compiling software on systems from source to packaging and releasing packaged artifacts, which were automatically built from git tags
• Brought Infrstracture as Code to company to get a better handle on cloud resources being consumed
• Refactored companies Configuration as Code system to significantly speed up installs

Technologies Used

Python | Terraform | SaltStack | Ubuntu | Jenkins | AWS | SCons | HDFS

Respondsibilities

• Deploy physical & virtual servers for internal use
• Constructed tools to increase team communication during incidents
• Dynamically generated email lists to ease company transition to holacracy

Technologies Used

Python | AWS | Puppet | Docker