Personal details

Matt D. - Remote back-end developer

Matt D.

Based in: 🇿🇦 South Africa
Timezone: Pretoria (UTC+2)

About

Staff-level backend engineer with 15+ years of experience designing and delivering distributed systems acrossinsurance, government and enterprise software. Hands-on technical leader spanning multiple teams, with deep expertise in Python, AWS serverless, Agentic Development, AI-powered document processing and large-scale backend architecture. Proven track record owning critical systems from discovery through production, improving engineering velocity, reducing operational costs and mentoring engineers from graduate to Staff level.

Work Experience

Senior Software Engineer
ManyPets | May 2020 - Present
Python
Django
MongoDB
Flask
Amazon S3
Amazon SQS
Sagemaker
Fastapi
Aws (eks, bedrock)

- Owned the architecture and delivery of business-critical systems from discovery through production,

partnering with senior stakeholders across engineering, product and operations.

- Designed a claims automation platform processing £1M+ per month in insurance workflows.

- Led the modernisation of legacy Flask/Django services, increasing deployment frequency from weekly

releases to 10+ deployments/day while expanding automated test coverage from 50 end-to-end tests

(30 mins) to 1,500 tests (10 secs).

- Built AI-powered OCR and document processing pipelines using Textract, reducing insurance claim

overpayments by 20% annually.

- Engineered production ML pipelines processing 5000+ requests/hour and prototyped LLM-powered

workflows using Sagemaker, GPT and Amazon Bedrock.

- Mentored engineers, interviewed candidates through Staff level

- Delivered a replacement task management platform in 3 weeks with agentic engineering, saving six

figures annually.

Remote Software Consultant
mattjdavidson.com | Feb 2019 - Present
Python
Java
Flask
OpenCV
Azure
TypeScript
React
JavaScript
- Wrote a successful technical proposal for SME who gained six-figure (£) funding from the Defense and Security Accelerator (UK). - Developed Facial Recognition with system as an offline alternative to Azure Face Cognitive Service. (Flask, OpenCV, Postgres, Azure Kubernetes Service) - Designed and developed a distributed personnel tracking system. (React, Typescript, Spring Boot, Azure Kubernetes Service) - Highly rated mentor in Java, Python, Typescript, Javascript, React, C and Software Delivery.

Education

University of Glasgow
Master's degree・Computer Science
Sep 2008 - Jun 2013