Glenn J. Mason

Futurist, father, skeptic, biohacker & entrepreneur

Curriculum Vitae

Career & Work Experience

 
 
 
 
 

Engineering Practice Lead (Cloud & DevOps)

Industrie&Co

February 2016 – Present Sydney

Delivering faster, easier, scalable and secure software solutions for start-ups, disruptors and technology companies, whilst helping make our engineering practice the best in the world.

Engineering is in my DNA, with a long history of software development, cloud-focused devops and agile practices, and I bring experience and near-limitless enthusiasm to the difficult problems facing organisations and entrepreneurs today.

 
 
 
 
 

Team Lead, Cloud Platforms

Domain Group

August 2018 – February 2019 Sydney
As the technical team lead, I helped set the direction of the Cloud Platforms team. We provide robust and intelligent platform solutions to empower barrier-free development and innovation for our internal customers at Domain. Whilst with Domain I:

  • Implemented the Kubernetes-based platform consisting of several purpose-built clusters running on EC2
  • Drove a number of initiatives focused on developer experience, configuration management and “SlackOps” (self-service)
  • Established regular reporting and cross-team collaboration
  • Mentored and consulted with members of my team regarding best-practices for software development and devops.
 
 
 
 
 

Senior Software Lead

RoZetta Technology

February 2015 – February 2016 Sydney

Applying effective analysis, design, programming and testing skills to produce software systems, while assisting with the technical direction of projects.

As a senior software engineer and lead, I have been responsible for requirements analysis, design and implementation of distributed, cloud-based (Amazon AWS) software systems, mostly in Python. I have also line-managed four technical resources, and provided technical guidance and leadership across the life of a project.

 
 
 
 
 

Forward Deployed Engineer

Palantir Technologies

July 2012 – November 2014 Canberra

Be agile, adaptive, technically brilliant – and deliver.

As a forward-deployed engineer, it was my job to solve “the world’s hardest problems”:

  • Identify, scope and deploy sophisticated deployments
  • Develop data integrations, customisations to the Palantir platform and entirely new services using the best possible technology available
  • Independently break down and solve complex client problems with little direction

I have built and run a deployment all the way from the initial scoping to hardware installation, system integration, custom code and ongoing maintenance, using a combination of Java, Oracle, Elasticsearch, Cassandra and Gradle.

Java

Python

Kubernetes

AWS

GCP

Internet

Recent Blog Posts

“Recent” is a relative term…

You may have heard: we're in the midst of a global pandemic1. As such, many communities are practicing “social distancing” and self-isolation; in Sydney we've been asked to stay home as much as possible, limit contact with those we don't actually live with, and only go out for essentials like toilet paper, hand sanitiser and, Aussies being aussies, copious amounts of booze. Thankfully we're also allowed out for exercise, and so this week I bought new bikes for all of us.

I was speaking to a friend over bubble tea on Friday, and started trying to explain the unexpected side-effect of practicing “sufficiency meditation”1 — that is, generating a feeling of satisfaction (with the moment, life, career, hobbies, physical fitness, abilities, bank balance and/or whatever) and then “sitting with” that feeling, putting enough energy into it to keep the feeling “on”, and carefully but strongly steering thoughts away from doubts and disatisfaction.

For the last couple of weeks I've been attempting to revive an opensource project called Openlumify. The project is an “intelligence amplification platform” — import a bunch of data about “stuff”, then explore connections (graph), proximity (map) and temporality (timeline) in a human-directed investigation from any one data-point, such as starting with an “known POI”, expanding the search to associates (via call records, emails, aliases, sightings, co-ownership, etc), and plotting related events on a timeline and/or map to test a hypotheses, gather evidence or just understand a given situation.