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Expérience professionnelle
October 2022 to Present – Garda Information Technologies (HPC Systems and Automation Engineer - Remote)
Mass General Brigham / Harvard University
Helping research center in supporting their current workload and in adding Azure HPC (Azure CycleCloud and Batch) to their environment.
• Help researchers troubleshoot issues with their jobs (using SLURM and LSF schedulers)
• Installing and updating HPC clusters which includes updating apps and OS
• Managing Kubernetes instances and helping to create Singularity containers
• Install monitoring using Grafana and Prometheus
• Migration from Chef to Ansible.
• Ansible Playbook creation and updates.
• Create and maintain Azure DevOps Pipelines
• Migrating from Centos to Red Hat / Rocky.
• Help users solve problems with various tools, apps, etc (MATLAB, RStudio, JupyterHub, NoMachine and other tools)
• ServiceNow integration (conversion from Jira)
• Clusters are used for healthcare research, Artificial Intelligence and Machine Learning
Boston College
Helped to manage and secure research data across several clusters.
Provide consultation, research support and training to students, faculty and staff in a variety of domains such as statistics and statistical software, scientific computation, computational mathematics, GIS, surveys and qualitative research. Also offer support with coding, databases, web technologies and administration for research-oriented computing.
Responsibilities:
Set up and maintains virtual machines and containerized (via Singularity) research/teaching applications both on BCs HPC Linux cluster and on cloud services such as AWS and GCP
• Manage HPC environments (using Bright Computing’s SLURM)
• Set up and maintain cloud instances on AWS, Azure and servers for research and teaching
• Employ scripting (including Ansible) to automate system administration tasks and processes
• Work with faculty and researchers to understand their current and future needs, and develops solutions to address them
• Install, manage, debug specialized teaching and research software: compilers, MATLAB, RStudio, Scala, etc
• Migrating from Centos to Red Hat
• Explore and promote technologies that facilitate teaching and research
• Act as a liaison between researchers and other functional areas within the department.
January 2022 to October 2023 – Nutanix @ ConEd (Lead Automation/Kubernetes Resident Engineer – Remote Consultant)
Project involved assisting client move to a more mature DevOps environment. Created or updated deployment YAML files and Azure Pipelines.
Tools used:
• Azure Pipelines for CI/CD
• GitHub and GitHub Actions
• ARM template creation/updates
• Confluence for documentation
• AWS Lambda, KMS
• Ansible Automation
• Nutanix Core
• Nutanix Calm
February 2021 to December 2021 – Garda IT (ServiceNow Consultant - Remote)
Project focused on helping client move from Jira to ServiceNow. This required not only in converting existing Jira layout but adding new features and functions.
• Installed ServiceNow instances core setup and configuration and customizations
• Developed probes and sensors to update the CMDB through ServiceNow Discovery
• Developed User Interfaces - Configured and maintained Forms, Lists, Views, UI Policy, UI Scripts, UI Actions, View Rules, Welcome Page Content, Map Pages, and other UI elements for ServiceNow modules.
• Participated in the full SDLC Requirements Gathering, Analysis, design, and coding, testing, training, and operational support using agile methodologies
• Recommended best practices of ServiceNow and ITIL processes across various business groups.
• Managed and executed high level tasks assigned via 'stories'
March 2020 to February 2021 – Addixware (Lead Azure DevOps Services Engineer - Remote)
Primary focus:
• Ansible Tower implementation
• Create Ansible playbooks for Red Hat Linux installations.
• Create Jenkins pipelines to automate code deployment and testing
• Began conversion from Jenkins to Azure pipelines
• Automation of Red Hat Enterprise Linux servers for builds and updates
• Automation of Red Hat Virtualization builds
• Documentation on work performed
Tools used:
• Bitbucket
• JFrog Artifactory for container image storage
• Kubernetes for orchestration
• Red Hat Linux
• OpenShift for containers on Red Hat Linux
• Ansible for automation
• Jenkins for CI/CD
• Azure DevOps for CI/CD
• Confluence for documentation
• AWS (Key Management, EC2)
January 2022 to present – ConEd (DevOps Engineer - Remote)
Project involved assisting client move to a more mature DevOps environment. Created or updated deployment yaml files and Azure Pipelines.
Tools used:
• Azure Pipelines for CI/CD
• GitHub and GitHub Actions
• Karbon for Kubernetes orchestration
• Confluence for documentation
July 2021 to Present – Unity Technology (Azure DevOps Services Engineer - Remote)
Duties focused on creating Jenkins pipelines for the deployment of client’s product to iOS, Windows and MacOS. This included pipelines used by development as well as pipelines that deployment for their users to acquire (Steam, Apple App Store).
Tools used:
Jenkins for CI/CD
GitHub
Kubernetes for orchestration
Confluence for documentation
AWS
Apple Fastlane
March 2020 to Present July 2021 – Smartcom (Azure DevOps Services Engineer - Remote)
Primary focus:
Create Ansible playbooks for Red Hat Linux installations.
Create Jenkins pipelines to automate code deployment and testing
Use Ansible to install Kubernetes clusters.
Began conversion from Jenkins to Azure pipelines
Automation of Red Hat Virtualization builds
Documentation of work performed
Tools used:
Bitbucket
JFrog Artifactory for container image storage
Kubernetes for orchestration
Red Hat Linux
Ansible for automation
Jenkins for CI/CD
Azure DevOps for CI/CD
Confluence for documentation
AWS
May 2019 to March 2020 – Surge (Azure DevOps Services Engineer - Remote)
Duties focused on Continuous Integration / Continuous Delivery (CI/CD) on Azure DevOps Services environment.
Fix test automation to run with Jenkins and Maven
Convert from Jenkins to full Azure DevOps environment with Selenium for testing
Optimize CI/CD to improve speed and lower costs
Infrastructure as Code Part of Project
Containerize apps to run in Azure Kubernetes Services with Azure Container Registry
Create ARM scripts/templates
Create AKS environment for running apps
Other projects
Create Ansible playbooks for Linux installations
Update/write Ruby on Rails code.
August 2018 to May 2019 – IBM Cloud (DevOps Engineer - Remote)
Duties vary and include auditing and managing ACLs, creating Ansible playbooks, provisioning with Chef, OpenShift Jenkins, logging, monitoring, updating and troubleshooting Kubernetes instances. The focus of the work is in providing the infrastructure for IBM’s client (Tinder and others) to run their environment. Work is done in two-week Sprints. Cloud services used: IBM Cloud. Other tools used: Git, Artifactory, Confluence, Kafka, Jira.
January 2018 to August 2018 – Davidson Consulting (DevOps Engineer)
First Client: Responsible for containerizing software applications. Environment consists of hybrid Docker containers: Linux and Windows. Tools used include Docker Swarm, Kubernetes for Dev, Azure DevOps for CI/CD, RabbitMQ, Mongo, Cassandra, ElasticSearch, Prometheus, Portainer, Rancher, Consul, Nexus, Kafka, LogStash and OpenID. Operating systems include Ubuntu/Debian and Windows 10 and 2016. Cloud services are AWS, Google and Azure (primary). Terraform used with AWS and Azure. (Used Terraform to replace ARM Templates.) Work performed under an Agile methodology using three-week SCRUM Sprints.
Second Client: Responsible for helping client move to cloud (AWS). Chef and Ansible were used for automation. Kubernetes was introduced to replace Docker Swarm. Two-week sprints.
May 2015 to December 2018 – Sentigy (Systems Analyst Consultant - Remote)
Client 1: Responsible for designing and building an environment with greater capacity that allows for growth, improved uptime and disaster recovery. Moved environment from a simple LAMP environment to a highly available and scalable cloud environment (separate application servers, test servers, clustered MySQL servers, memcached servers and a better failover and backup configuration). Ansible was the primary tool for automation on the environment.
Some changes introduced at each level:
Linux introduced Containers with Kubernetes introduced for the developers (to maintain same versions).
Apache updated to include security features plus HAProxy and Memcached
MySQL moved to a clustered environment using Percona XtraDB
PHP converted/updated to PHP Laravel framework
VMs are hosted at client’s hosting company. Docker containers run in AWS and Azure.
Client 2, task 1: Investigate possible reasons for clients decline in Google rankings after moving to Google Cloud Platform (GCP). Special consideration was given to SEO.
Client 2, task 2: Investigate how GCP environment was compromised and used for crypto mining. This involved securing the network and nodes.
August 2014 to May 2015 – Blue Cross Blue Shield of Tennessee (DevOps Engineer - Remote)
Primary duties are to manage, build and deploy virtual (VMware) and cloud servers, update software and make sure environment remains HIPAA compliant. Tools used in deploying Linux servers: Python, Chef, Ansible, VMware and Cobbler. In-house and AWS hosting. Other tools used include Git, Jenkins, Memcached, Docker, TeamCity, Confluence and Centrify. Cloud services: AWS and Azure. Website supported: ********
May 2014 to September 2014 – Geographic Research (PHP Programmer - Remote)
PHP programmer developing tools to convert files from various formats to clients’ format. (Freelance – part-time)
August 2012 to May 2014 - Murphy Oil Corp (...