$ whoami

Jan Jetze Beitler

$ cat role.txt

Software Developer & DevOps Engineer

$ echo $LOCATION

Wormer, NL

# About

I'm a software developer and DevOps engineer based in Wormer, the Netherlands. I design, develop, and maintain cloud-based software systems with a focus on reliability, maintainability, and scalability. I prefer automation over manual processes and value clean code, reproducibility, and pragmatic solutions over complexity.

Day to day I work across the full stack — from backend services in Go and Python to AWS cloud infrastructure and CI/CD pipelines. I'm particularly interested in serverless architecture, infrastructure as code, and developer productivity tooling. AI-assisted development has become a core part of my workflow — I use GitHub Copilot at work and Claude Code for personal projects. It has fundamentally changed how I build software, and I'm always looking for new ways to integrate AI into my development process.

Before moving into software development, I completed a Master's in Data Science at the University of Amsterdam. My thesis research resulted in PIE: Pseudo-Invertible Encoder, a paper co-authored with Ivan Sosnovik and Arnold Smeulders and submitted to ICLR 2019. That academic background gave me a strong foundation in problem-solving and analytical thinking that I apply every day in my engineering work.

Outside of tech, some people may know me from a brief stint making music — I wrote a couple of Dutch protest songs against the student loan system that got some attention back in the day. That chapter is behind me, but the videos are still on YouTube.

# Skills

Languages

Go Python Dart / Flutter SQL Bash

Cloud & Infrastructure

AWS Lambda CloudFormation Docker Linux

Data & Tooling

PostgreSQL DynamoDB Git GitHub Actions CI/CD

Interests

Serverless Infrastructure as Code AI-Assisted Development Developer Productivity Kubernetes Terraform

# Experience

2020 — Present

Software Developer

Plinkr

Full-stack development and DevOps across multiple products. Building and maintaining cloud-based applications in Go and Python, designing serverless AWS infrastructure, and automating deployment pipelines with GitHub Actions. Cross-platform mobile development with Flutter. Responsible for platform reliability and developer tooling.

2019 — 2020

Data Scientist

Primed IO

Applied machine learning and data engineering for real-time bidding and ad-tech optimization. Built data pipelines and predictive models to improve bidding strategies and campaign performance.

2017 — 2019

MSc Data Science

University of Amsterdam

Thesis research on pseudo-invertible encoders for likelihood-based autoencoders, resulting in a paper submitted to ICLR 2019 (co-authored with Ivan Sosnovik and Arnold Smeulders).

# Open Source