Lead DevOps Engineer
Deloitte
Skills
cloud, Linux, Docker, Kubernetes, reverse engineering, Terraform, Azure, AWS, GCP, ELK, Ansible, Jenkins, Nmap, Metasploit, Programming, Java, C#, Net, Python, Ruby, Javascript, Golang, Rust, Bash, git, Vector, https, github.com, francescop, az-keyvault, injector, init, container.git, Azure Cloud, microservices, DevOps, AWS and Azure, Docker containers, big-data, big data, open source, ElasticSearch, InfluxDB, application monitoring, databases, bare-metal, Kibana, Logstash, ELK stack, automated deployment, CloudFormation, Beanstalk, Python and Bash, Continuous Integration, Configuration Management, continuous deployment, Ruby On Rails
Project history
01/2019
-
12/2020
* Responsible for Cloud governance, auditing, monitoring, planning and assessment
* Automated and scripted the infrastructure setup on Azure and AWS with Terraform &
Ansible
* Implemented on-demand Kubernetes environments for faster test cycles
* Conducted systems design, reduced overhead and infrastructure costs by ~30% by
scheduling instance operation time and by using cloud services more efficiently on AWS
and Azure
* Optimized and secured Docker containers, reducing build time and attack surfaces
* Worked alongside Software & Data teams for designing big-data pipelines
* Implemented and customized a high- performance logging and big data ingestion system -
open source contribution to one of the tools used: https://git.io/JU0H9
* Architected a logging and monitoring system from scratch - ElasticSearch, Vector,
InfluxDB stack
* Automated and scripted the infrastructure setup on Azure and AWS with Terraform &
Ansible
* Implemented on-demand Kubernetes environments for faster test cycles
* Conducted systems design, reduced overhead and infrastructure costs by ~30% by
scheduling instance operation time and by using cloud services more efficiently on AWS
and Azure
* Optimized and secured Docker containers, reducing build time and attack surfaces
* Worked alongside Software & Data teams for designing big-data pipelines
* Implemented and customized a high- performance logging and big data ingestion system -
open source contribution to one of the tools used: https://git.io/JU0H9
* Architected a logging and monitoring system from scratch - ElasticSearch, Vector,
InfluxDB stack
01/2018
-
01/2019
Lead DevOps Engineer
Rakuten
* Wrote a terraform provider for KaŌa schema registry - https://git.io/fxD6v
* Mentoring team members on software development best practices, automated build and
test methodologies
* Responsible for the migration of ~100 microservices applications from AWS to Kubernetes
on Azure and GCP
* Drove improvements in production support, system/application monitoring and diagnostic
processes to drive customer satisfaction
* Engineered, maintained and improved the monitoring tools to monitor systems,
applications, databases as well as business transactions - monitoring built on a large scale
Elasticsearch cluster
* Implemented, supported and managed server security
* Mentoring team members on software development best practices, automated build and
test methodologies
* Responsible for the migration of ~100 microservices applications from AWS to Kubernetes
on Azure and GCP
* Drove improvements in production support, system/application monitoring and diagnostic
processes to drive customer satisfaction
* Engineered, maintained and improved the monitoring tools to monitor systems,
applications, databases as well as business transactions - monitoring built on a large scale
Elasticsearch cluster
* Implemented, supported and managed server security
06/2017
-
12/2017
DevOps Engineer
Publicis PixelPark
* Managed bare-metal and AWS infrastructure with Chef and Ansible
* Designed and developed a centralized logging system using Elasticsearch, Kibana and
Logstash - ELK stack
* Provided support to Development and Testing teams
* Deployed and supported Adobe AEM (Java)
* Optimized operations through automation, configuration as code
* Designed and developed a centralized logging system using Elasticsearch, Kibana and
Logstash - ELK stack
* Provided support to Development and Testing teams
* Deployed and supported Adobe AEM (Java)
* Optimized operations through automation, configuration as code
02/2016
-
12/2016
DevOps Engineer
eHealth
* Designed, developed and standardized automated deployment process using
CloudFormation and Beanstalk
* Designed and developed a centralized logging system using Elasticsearch, Kibana and
Logstash - ELK stack
* Worked alongside developers in order to migrate applications into Docker containers
* Developed scripts for build, deployment, maintenance and related tasks using Python and
Bash
* Installed, configured and maintained Continuous Integration, Automation and
Configuration Management tools
* Reduced AWS costs by analyzing unused resources, scaling and programmatically
terminating instances
* Started migration to a continuous deployment pipeline with Jenkins and Kubernetes
CloudFormation and Beanstalk
* Designed and developed a centralized logging system using Elasticsearch, Kibana and
Logstash - ELK stack
* Worked alongside developers in order to migrate applications into Docker containers
* Developed scripts for build, deployment, maintenance and related tasks using Python and
Bash
* Installed, configured and maintained Continuous Integration, Automation and
Configuration Management tools
* Reduced AWS costs by analyzing unused resources, scaling and programmatically
terminating instances
* Started migration to a continuous deployment pipeline with Jenkins and Kubernetes
07/2014
-
02/2016
DevOps Engineer
Lombardi SRL
05/2014
-
07/2014
Ruby On Rails Instructor
Prealpi SRL
10/2013
-
05/2014
Full Stack Developer
NRL
05/2011
-
09/2012
Linux System Administrator
Address SRL
06/2008
-
06/2010
Linux System Administrator
L'Impronta SRL
Local Availability
Open to travel worldwide
