cv
Basics
Name | Jeffrey Jiang |
Label | DevOps Engineer - Digital Infrastructure at UBank |
jeff.x.jiang@gmail.com | |
Phone | (+61) 0422 516 419 |
Url | https://jeffjiang.net |
Summary | I am a versatile professional with 6 years of experience in DevOps and software engineering and practices. Skilled in coding, testing, and debugging, I have successfully delivered high-quality software solutions. As a DevOps engineer, I specialize in optimizing development pipelines, automating processes, and implementing continuous integration/continuous deployment practices to enhance productivity and reliability. With a strong foundation in both technical execution and strategic oversight, I am passionate about driving operational excellence and technology innovation in complex digital platforms. |
Work
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2022.09 - Present Sydney
DevOps Engineer - Digital Infrastructure
Ubank
- Developed self service CI/CD pipeline with custom terraform modules.
- Developed robust B2B file transferring pipeline to connect with 3rd party vendors.
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2020.08 - 2022.10 Sydney
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2019.10 - 2020.08 Sydney
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2019.02 - 2019.10 North Sydney
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2017.02 - 2017.06 Aus Tech Park
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2016.11 - 2017.02 Aus Tech Park
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2015.05 - 2018.11 Hurstville
Education
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2013.01 - 2017.12 -
2007.01 - 2012.12
Awards
- 2017.05.31
Dean's Honours List 2017
Prof. Graham Davies
- 2016.06.30
Dean's Honours List 2016
Prof. Graham Davies
- 2015.05.31
Dean's Honours List 2015
Prof. Graham Davies
- 2014.05.31
Dean's Honours List 2014
Prof. Graham Davies
Certificates
AWS Certified Solutions Architect - Associate | ||
Amazon Web Services (AWS) |
Akamai Web Performance Foundations | ||
Akamai Technologies |
Finance Foundations | ||
Learning Jenkins | ||
Learning Splunk | ||
Higher School Certificate | ||
Sydney Boys High School |
Skills
Amazon Web Services (AWS) | |
EKS | |
Lambda | |
API Gateway | |
Cloudfront |
Python | |
Lambda |
Terraform | |
Custom Modules |
Kubernetes | |
EKS | |
Karpenter | |
ArgoCD |
Jenkins | |
CI/CD Pipelines |
Grafana | |
Loki | |
Mimir |
Akamai | |
Delivery Configuration | |
WAF |
Docker | |
Build and Push Container Images |
Git | |
BitBucket | |
GitOps |
Languages
English | |
Native Speaker |
Interests
Volleyball |
Hiking & Camping |
Travel |
Formula 1 |
Reading |
Fitness |
Projects
- 2025.02 - Present
Personal Website
A personal website to showcase my resume and projects.
- Using Github as the source control manager.
- Using Jekyll to render the html files.
- Using Github Pages to host the website.
- Using AWS Route53 to host a custom domain.
- Using JSON Resume to edit and render this cv.
- 2025 - Present
Jira Assets CMDB
Creating a CMDB to track all the assets in the tech stack for cost and vulnerability allocation.
- Using Jira Assets to create a CMDB.
- Using AWS Lambda to create a custom integration with AWS.
- Creating a custom AWS event based integration to update the CMDB.
- 2022 - Present
Terraform IaaS Solution
Using Terraform and CI/CD pipelines to automate AWS infrastructure deployment.
- Wrote custom opinionated terraform modules to deploy AWS infrastructure.
- Yaml files to define deployment configurations.
- GitOps principles to manage the deployment process automatically with PRs.
- Used Jenkins and groovy scripts to build and deploy the infrastructure.
- 2016.03 - 2016.12
Thesis: 90 Degree 1H Pulse Calibration Methods in NMR
In this thesis report, a novel method for determining the 90d pulse width for calibration in Nuclear Magnetic Resonance spectroscopy experiments is conceptualised and proposed. This method will aim to estimate the frequency of a real sinusoid with additive white Gaussian noise and spin physics alterations using a modified periodogram peak search algorithm given by Aboutanios. Research into current calibration methods and the potentiality of the proposed solution are presented to indicate the possible improvements in the accuracy and efficiency of the 90d pulse width determination.
- 2017.02 - 2017.11
Automated Thermal Detection of Remote Events using a Low Power System
In the field of thermal imaging and event detection, there isn't much consideration put into use cases with limited power and resources, whilst also maintaining low cost. This study will present a new method of optimising power consumption and performance of a remote thermal camera which monitors a scene in an automated fashion and communicates with a centralised server end-user. This will be achieved through designing a robust event detection algorithm for thermal monitoring and dividing the computational load of a background modelling algorithm whilst optimising the amount of data transmission and the costs associated.