Jonathan Mell, AWS Developer in Anaheim, CA, United States
Jonathan Mell

AWS Developer in Anaheim, CA, United States

Member since November 16, 2018
Jon has over two decades of Linux experience, half of those in a system admin role. He has built and understands auto-healing infrastructure. Jon has deployed many of these systems in enterprise environments. Jon has a love of Python and an ability to think on his feet. He hopes to work with new companies and new people to help build amazing systems across the planet! Automation by any means necessary!
Jonathan is now available for hire

Portfolio

  • Health Company (Under NDA)
    Terraform, Terragrunt, AWS, Kubernetes, GitLab CI/CD, GitLab, Python 3...
  • PGI
    Amazon Web Services (AWS), Nginx, Terraform, Terragrunt, Python, Linux...
  • Blackberry Cylance
    Amazon Web Services (AWS), Nginx, Terraform, Terragrunt, Python, Linux...

Experience

Location

Anaheim, CA, United States

Availability

Part-time

Preferred Environment

Amazon Web Services (AWS), Terraform, Terragrunt, Python, Linux, AWS, Boto 3

The most amazing...

...full ETL system I built in Python mimicked the parent Zabbix config and alerts children servers in any region for eventual consistency across Zabbix servers.

Employment

  • DevOps Generalist

    2020 - PRESENT
    Health Company (Under NDA)
    • Helped to change healthcare with AI. I was one of a handful of back-end developers assigned with the task of building a robust, automated back end on the cloud utilizing my knowledge of DRY infrastructure code.
    • Created a fully automated AWS account bootstrap utility that allowed for rapid creation of identical AWS accounts with optional EKS clusters. Accounts created with this script required no login to add new users based on the bootstrap method.
    • Created the initial Terraform and Terragrunt strategy being utilized to this day.
    • Built many Terraform modules for teams that were in need, that are being used in production today.
    • Wrote many pages of documentation for other DevOps teams to consume. This allowed for rapid consumption of the aforementioned Terraform modules.
    Technologies: Terraform, Terragrunt, AWS, Kubernetes, GitLab CI/CD, GitLab, Python 3, Technical Documentation
  • Site Reliability Engineer II

    2019 - PRESENT
    PGI
    • Supported daily Kubernetes upgrades, maintenance and operation.
    • Developed Python applications to assist teams with 'making things easier' for development and others.
    • Developed Terraform/Terragrunt frameworks for Kubenetes deployments.
    Technologies: Amazon Web Services (AWS), Nginx, Terraform, Terragrunt, Python, Linux, Security, AWS, Helm, Kubernetes Operations (Kops), Kubernetes
  • DevOps Engineer Staff

    2015 - 2019
    Blackberry Cylance
    • Developed a Python Zabbix ETL app for the eventual consistency of config and alert settings across multiple Zabbix regions.
    • Headed many team innovations and documentation guidelines; many of the ideas for team processes were implemented.
    • Built numerous auto-healing services utilizing HashiCorp consul, consul templates, and Terraform/Terragrunt.
    • Oversaw client/virus model download system via Nginx caching abilities utilizing ephemeral volumes for super fast downloads for everyone!
    • Developed a full Django deployment portal (Beryl, blue/green deploy). This allowed our development team to use a website, click around, set pull-down menus, and click a button to roll out new versions of our software suite onto Amazon.
    • Led major Terraform/Terragrunt and Puppet module development.
    Technologies: Amazon Web Services (AWS), Nginx, Terraform, Terragrunt, Python, Linux, Security, AWS, Datadog, Windows, Microsoft SQL Server, Docker, Jenkins, Consul, Puppet
  • DevOps Automation Engineer

    2011 - 2015
    Dynamic Concepts Inc
    • Developed an initial Chef cookbook with automation into AWS.
    • Developed back end software utilizing AWS API to automate AWS instance build requests from a custom Plesk front end.
    • Pioneered ModSecurity WAF layer into Nginx installations.
    • Managed named/BIND files and configuration for public DNS resolvers.
    Technologies: Amazon Web Services (AWS), Nginx, Terraform, Terragrunt, Python, Linux, Security, AWS, PHP, Chef, Plesk, Bash
  • Senior Support Engineer

    2005 - 2011
    eEye Digital Security
    • Managed enterprise client installation support and handling of software issues.
    • Served as the primary contact for debugging of software platform application deployments for enterprise clients.
    • Oversaw many KB articles and how-to guides to assist customers with deployments.
    • Accelerated my position to a senior level very quickly due to my ability to think on my feet and debug mostly anything.
    Technologies: Nginx, Terraform, Linux, Security, Intrusion Detection Systems (IDS), Cisco, Windows PowerShell, Windows

Experience

  • Zabbix ETL Process (Development)

    A Python-based extract transfer and load system for Zabbix. This allowed for a parent Zabbix server to be set. Anything changed within this set parent server would be eventually consistent with all other Zabbix servers running in any available region. This would sync metric settings, alert settings, pager duty settings, etc. There were many challenges to this project as not all elements to a "Zabbix Server" are exposed to the API. The system would also not update any elements that have not changed utilizing a sha256 diff system I had built into the import mechanism for the least amount of IO/CPU stress on these systems.

Skills

  • Languages

    Python, Bash, PHP, Go, Python 3
  • Libraries/APIs

    Terragrunt
  • Tools

    Terraform, Zabbix, Nginx, Boto 3, Puppet, Jenkins, Plesk, Chef, Helm, GitLab CI/CD, GitLab, Vault
  • Platforms

    Amazon Web Services (AWS), Linux, Kubernetes, Docker, Windows
  • Industry Expertise

    Security
  • Other

    AWS, API Integration, Consul, Cisco, Intrusion Detection Systems (IDS), Technical Documentation, Kubernetes Operations (Kops), Prometheus
  • Frameworks

    Windows PowerShell, Django
  • Storage

    Microsoft SQL Server, Datadog, Databases

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