Alexander Reitz - Engineering Manager, Platform Engineering

alex@alexreitz.com ~
$ whoami
Alexander Reitz
$ cat role.txt
Engineering Manager · Platform Engineering
$ cat focus.txt
Developer Experience · Cloud Infrastructure
CI/CD · AI Enablement
$ cat about.txt
13+ years in tech.
Building platforms and the teams that run them.
Based in Munich. In Toronto for a while.
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Alexander Reitz
Munich · currently Toronto
scroll to explore

About

I'm an engineering manager who started as an IT apprentice and never stopped enjoying the technical side. Today I lead platform engineering teams — the people who build the systems other engineers build on top of.

The part I like most is where technical depth meets the messy reality of scale. How do you make a 600+ engineer organization feel less slow? How do you make AI useful on a normal Tuesday instead of only in a demo? How do you build platforms that engineers actually want to use?

I'm German, based in Munich, and currently spending a stretch in Toronto. Outside work I take landscape and car photos under Lenspired. Different medium, same habit: pay attention, pick a frame, do the thing properly.

// 13+ years in tech
// from apprentice to engineering manager
// platform work for 600+ engineers
// distributed teams across two continents
// AWS Certified Solutions Architect
Currently in Toronto

// languages

German (native) · English (fluent) · Portuguese (learning)

What I focus on

Four areas where I've put in the reps — and where I'm most useful to a team.

01

Developer Experience

The boring stuff that makes good engineering possible: golden paths, self-service tooling, useful docs, and defaults that save teams from yak shaving.

Internal PlatformsGolden PathsSelf-Service
02

Cloud Infrastructure

AWS foundations, Kubernetes, Terraform, observability, security, and FinOps. The goal is boring infrastructure: clear ownership, sane defaults, fewer surprises.

AWSKubernetesTerraformFinOps
03

CI/CD & Delivery

Fast feedback, boring deploys, less ceremony. Pipelines should help teams ship instead of becoming another system they have to fight.

GitHub ActionsYou Build It, You Run ItTrunk-Based
04

AI Enablement

Making AI useful in real engineering work: agent setup, repo context, training, skills, and enough guardrails that people trust the workflow on a normal Tuesday.

Claude CodeCodexAgentCore

Career

Engineering Manager · Platform Engineering

AutoScout24

Jan 2023 — Present·Munich · Toronto
  • Leading two distributed platform teams serving 600+ engineers across AutoScout24 and Trader
  • Focus: Developer Experience, CI/CD, Compute Infrastructure, AI Enablement
  • Pushing 'You Build It, You Run It' as an operating principle, not a slogan
  • Owning cloud vendor strategy, capacity planning, and FinOps
  • Working on the AI developer experience roadmap across the AutoScout24 and Trader engineering org

Senior Platform Engineer

AutoScout24

Feb 2022 — Jan 2023·Munich
  • Pulled into platform work that needed both technical depth and clear tradeoffs
  • Led migrations across artifact storage, logging, and Kafka infrastructure
  • Built peer-feedback culture and mentored engineers through promotions

Platform Engineer

AutoScout24

Mar 2020 — Feb 2022·Munich
  • Designed and rebuilt platform infrastructure during a major corporate carve-out
  • Migrated services off legacy systems: artifact storage, logging, Kafka
  • Built deep AWS expertise across infrastructure, observability, and CI/CD
  • Onboarded nine engineers through structured knowledge-sharing

Platform Engineer

Scout24 Group

Dec 2019 — Mar 2020·Munich
  • Contributed to platform separation during the AutoScout24 carve-out

Software Engineer · Technical Lead DevOps

OpenText Software

Nov 2016 — Dec 2019·Munich
  • Technical lead for DevOps on enterprise archiving products
  • Drove the migration from on-prem single-tenant to multi-tenant SaaS

Junior System Engineer

OpenText Software

Jul 2014 — Nov 2016·Munich
  • QA and automated deployment pipelines for enterprise archiving products

IT Specialist Apprenticeship

OpenText Software

Sep 2011 — Jul 2014·Munich
  • IT infrastructure, customer support, and Java development in a Scrum team

Tech Stack

Cloud

AWS
GCP
Azure

Infrastructure

Terraform
Kubernetes / EKS
Docker

CI/CD

GitHub Actions
Jenkins

Languages

Python
TypeScript
Go
Java

AI & Tools

Claude Code
Codex
GitHub Copilot
Amazon Bedrock
Amazon Bedrock AgentCore
Model Context Protocol

Leadership

Team Building
Stakeholder Management
Cloud Governance
FinOps & Cost Optimization
People Development

AI in engineering

The hard part is not the demo. It is making the workflow useful enough that teams come back to it.

01

AI adoption at work

Working on the practical side of AI adoption: setup paths, training, docs, and exercises that get engineers from chat prompts to real repo work.

02

AI for engineering managers

Building AI workflows for manager work too: weekly team summaries, 1:1 prep, sprint health, and pulling context from Jira, GitHub, and Slack without losing half a day.

03

AI developer experience

Treating AI as part of DevEx now: repo context, reusable skills, PR review help, incident triage, and rules for when the agent should stop and ask.

04

Builders community

Running internal hackathons and Builders All Hands sessions where teams try AI on real annoyances, not toy demos.

05

Building in the open

When a personal automation survives real usage, I tend to put it on GitHub. Half for reuse, half so people can tell me what is broken.

Projects

neoGym

Tiny iOS fitness app I built because spreadsheets were annoying. Personal trainer mode, challenges, streaks. Side project, not a startup pitch.

iOSSwiftPersonal Project

Claude Code Skills

Private repo of skills and automations I use for engineering-manager work: weekly summaries, 1:1 prep, team health, and context stitching across tools.

AIClaude CodeAutomationTypeScript

Lenspired

My photography site. Mostly landscapes and cars, mostly an excuse to get outside, chase light, and look at things properly.

PhotographyLandscapeCars

This Site

The page you're on. Built with Next.js, Tailwind, and Framer Motion. If I put my name on it, I wanted it to feel built, not templated.

Next.jsTailwindFramer MotionCloudflare

Education

  • Vocational School of IT

    Munich · 2011 — 2014

  • Secondary School of Economics (Sabel)

    Munich · 2009 — 2011

Certifications

  • AWS Certified Solutions Architect — Associate

    Amazon Web Services · Jun 2021

Get in touch

If you want to talk platform engineering, AI in real engineering orgs, or the Toronto/Munich thing, reach out.

// open to

  • Good conversations on platform engineering, DevEx, and AI in engineering orgs
  • Speaking, podcasts, or guest writing when the topic is concrete
  • Sparring with founders or engineering leaders on platform and AI adoption
  • Photography and road trip chats are also fair game