# Jack Davies

> Platform @ Sphere

Location: San Francisco, California, United States
Profile: https://flows.cv/jackdavies

Building big distributed systems and making friends along the way

## Work Experience
### Founding Engineer @ Sphere
Jan 2025 – Present | San Francisco, California, United States
Building the world's first AI-powered, cross-border compliance engine.

Backed by a16z, Felicis Ventures, Y Combinator, 20vc and leading angel investors, including the founders of Flexport, Rappi, Deel, Go1, Lyft, BetterUp and Xendit.

### Engineering Lead @ daisee
Jan 2023 – Jan 2025 | Sydney, New South Wales, Australia
I lead the Insights team at daisee, who build the data pipelines, backend and frontend for the core product. I am responsible for architecture, planning and engineering of services across our full stack, reporting to the CTO and collaborating with data science, the wider business and our customers.

- Led the end-to-end delivery of Chat, achieving a long-term strategic goal to offer AI and speech analytics across every channel

### Senior Software Engineer @ daisee
Jan 2022 – Jan 2023 | Sydney, New South Wales, Australia
Design and implementation of various components across the full stack of daisee's core product, developer tooling and CI infrastructure. Additional responsibilities include high-level strategic planning, code and architecture review, and mentorship of junior developers. Some components I have designed and built:

- Squizzy, an abstraction layer over S3 and SQS to validate and pass Avro-encoded messages. Squizzy is one of the building blocks of our event-driven "V2" architecture.
- The V2 multitenant auth layer, including a standard library of OAuth2/OIDC primitives and serverless Lambda@Edge authorizers to integrate with Auth0.
- persistence.everything, a database testing and migration framework that enforces idempotent and reversible database operations, performs integration tests against production schemas, and manages mock databases for local development.
- Internal and client-facing documentation portals, including a CI pipeline to deploy CloudFront sites from markdown files.
- The "Insights" feature, a set of data pipelines and frontend components in React allowing non-technical analysts to rapidly iterate and deploy embedded dashboards to our core product.

Technologies include:

- Languages: Haskell, TypeScript, Python, Terraform, Bash/shell scripting
- AWS Services: Lambda, EC2, ECS Fargate, S3, RDS, SQS/SNS/EventBridge, Glue/Athena
- Tools/Frameworks: Docker, React, Auth0, Honeycomb, Node.js, Parquet/Iceberg

### Software Engineer @ daisee
Jan 2021 – Jan 2022 | Sydney, New South Wales, Australia

### Systems Engineer @ Commonwealth Bank
Jan 2020 – Jan 2021 | Sydney, New South Wales, Australia
Developed components for our Platform as a Service (PaaS) OneCloud, in both Amazon Web Services (AWS) and our private cloud environments. Software development, Site Reliability Engineering (SRE) and platform operations for ZBI, CBA's in-house container orchestration platform.

### Graduate Data Scientist @ Commonwealth Bank
Jan 2019 – Jan 2020 | Sydney, New South Wales, Australia
Worked on various projects in AI Labs, the research & development arm of the retail bank's data science teams, specialising in graph theory and Natural Language Processing (NLP). Presented results to our partnership with the Laboratory for Innovation Science at Harvard.

### Data Analytics Placement @ Victorian Managed Insurance Authority
Jan 2017 – Jan 2017 | Melbourne, Victoria, Australia
Worked with the Analytics and Actuarial team, where I completed and presented a text mining project investigating key themes and trends in Victorian insurance data.

### Gondola Lift Operator @ Nozawa Onsen Ski Resort
Jan 2012 – Jan 2013 | Nozawa Onsen, Japan
🚡


## Education
### Bachelor of Commerce / Bachelor of Science
Monash University

### 6 month exchange
The University of Hong Kong


## Contact & Social
- LinkedIn: https://linkedin.com/in/j-davies
- Website: https://github.com/jack-davies

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Source: https://flows.cv/jackdavies
JSON Resume: https://flows.cv/jackdavies/resume.json
Last updated: 2026-04-05