Trading Infrastructure Engineer · Zürich, Switzerland

I will run the cloud infrastructure your company can rely on.

Over nine years across regulated crypto, banking and ETP issuers, I build and run the systems that stay up while the market is live, without anyone holding them up by hand.

Software Engineering

These are real projects I have written, and every one is tested. 9 of the tools below link to a working example that I validate locally against LocalStack 4.14, Postgres, and a minikube cluster.

Software Engineering

Real code I have written. Every example here is tested before it ships.

Hyperliquid Markets Crawler

I crawl the live Hyperliquid markets into Postgres. It keeps the latest state with idempotent upserts and a snapshot history that only ever grows. 18 tests, one of which hits the real API.

Tested example Python and Postgres

Infrastructure and Observability

These are the 12 tools I actually reach for to build and run trading infrastructure. They come from real production work, not a wishlist. Where a tool has a tested example you will find it on the card, along with how deep I go.

Cloud and Compute

Where trading systems run, and how they scale while the market is live.

AWS

My main cloud across every role. Networking, IAM, and keeping the bill sane for trading infrastructure.

Tested example S3 and DynamoDB on LocalStack
Kubernetes

Runs the trading and venture builder workloads. I ran EKS in production while trades were live.

Tested example deploy and scale on minikube
Amazon EKS

I designed the EKS and Fargate setup across a whole venture builder portfolio.

Tested example the Kubernetes layer on minikube
AWS Fargate

Serverless containers. It took node management off my plate on the EKS platform.

Infrastructure as Code

Infrastructure I can reproduce and review. Nothing is held up by hand.

Terraform

How I describe and version cloud infrastructure. I have used it to provision real production infra.

Tested example tflocal, apply then assert

CI/CD and Automation

A solid lifecycle so changes ship safely and often.

CI/CD Pipelines

I automate the whole path from commit to production. Here, GitHub Actions runs every example test suite on each push.

Tested example GitHub Actions workflow

Feature branch environments

A throwaway environment for every branch, so every change can be reviewed on its own.

Observability

Monitoring as code, because you cannot run what you cannot see.

OpenTelemetry

Traces, metrics, and logs that are not tied to any vendor, instrumented across the services.

Tested example spans via an in memory exporter
Prometheus

Collects the metrics and drives the alerts for production trading systems.

Tested example the exposition format
Grafana

Dashboards for the health of the systems and the trading on top of them.

Tested example provisioned dashboards on minikube

FinOps and Cost

Reliability and efficiency are the same discipline.

AWS Budgets

Guardrails that keep cloud spend predictable.

Cost Anomaly Detection

I used anomaly analysis to cut cloud cost across a portfolio of projects.