Chris Keogh
Lead Engineer - Federated Identity And SSO
Dunedin, Otago, New Zealand
Summary
👤
Senior🎓
Top SchoolChris Keogh is a Lead Engineer specializing in Federated Identity and SSO with over a decade of experience delivering identity and access management, cloud, and frontend solutions from Dunedin, New Zealand. At Xero he progressed through roles from Cloud DevOps and Site Reliability into senior engineering and leadership, now focusing on secure, scalable federated identity platforms. He blends hands-on software engineering with operational discipline, having contributed backend and test automation improvements to the popular moto AWS-mocking library—deepening his practical understanding of DynamoDB, Lambda, S3 and EC2 behaviors. Comfortable spanning infrastructure, reliability, and frontend domains, Chris brings a pragmatic, test-driven approach to complex security and integration problems. An unusual thread through his background is formal music study, hinting at a creative, pattern-oriented mindset applied to engineering.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, PostGrad Diploma, Music, Bachelor's degree, PostGrad Diploma, Music at University of OtagoDiploma, Computer Software Engineering, Excellence, Diploma, Computer Software Engineering, Excellence at Computer Power Plus
Github Skills (15)
amazon-dynamodb10
lambda10
lambdas10
dynamodb10
python10
testing10
s3-bucket9
amazon-s39
aws-s39
amazon-ec29
ec9
rest-api8
api-rest8
restful-api8
api-design8
Programming languages (10)
Github contributions (5)
getmoto/moto
Sep 2017 - Jan 2018
A library that allows you to easily mock out tests based on AWS infrastructure.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:23 commits, 13 PRs, 57 comments in 4 months
Contributions summary:Chris primarily focused on enhancing the `moto` library, a tool for mocking AWS infrastructure. Their contributions centered around improving the DynamoDB and Lambda service implementations, adding support for features like empty string validation, consumed capacity reporting, and projection expressions. Furthermore, they implemented and refined tests to ensure the accuracy and reliability of the mocked AWS services. The user also demonstrated an understanding of S3 and EC2 services by merging changes and adding tests for volume creation.
ec2bototestinginfrastructureaws-infrastructure
dbfr3qs/PasswordlessAuthExample
May 2021 - Jul 2021
Contributions:16 commits, 21 pushes, 1 branch in 2 months
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