Software Development

AlgoFusion.ch

1-10

Switzerland

We’re building a tech-hedge-fund-style intraday algorithmic trading platform and are looking for a Rust/Python Quant Developer with strong data and cloud engineering expertise.  

You’ll work on everything from trading signal logic to large-scale data pipelines and infrastructure automation.  

You’ll join our core team of two highly experienced quants who are also full-stack developers with deep data and cloud expertise — the bar is high, but the learning curve and impact are massive.  
It’s absolutely fine if you’re not yet an expert in every area — you’ll grow into it quickly working alongside us. We’ll mentor and support you closely throughout the process.  

Our system goes live next week, and you’ll play a key role in evolving it from a powerful launch version into a world-class trading engine.

## Tasks

\- Design and implement scalable, modular, and testable trading and backend components (e.g., bot signals for technical indicators, orderflow, price action, ML-based algorithms) in Rust  
\- Improve and extend our strategy optimization framework in Rust  
\- Develop and maintain TB-scale Dagster/DBT ETL pipelines in Python  
\- Optimize data ingestion, storage, and queries for TimescaleDB/PostgreSQL  
\- Maintain and enhance our K3s cluster on Hetzner Cloud (autoscaling, reliability, observability) using Terraform, Helm, and Kustomize  
\- Build and extend Grafana dashboards and alerting systems for market data, bot observability, and system health  
\- Collaborate closely with our bot operators to detect, analyze, and fix issues in live trading

## Requirements

**Core:**  
\- Strong experience in Rust (most important skill!)  
\- Proven background in Python-based data engineering and scalable data architectures  
\- Basic Kubernetes skills  
\- Proficiency with the Grafana Stack (dashboards, monitoring, alerting, capacity planning)  
\- Genuine passion for financial markets and algorithmic trading  
\- Strong academic background and/or impressive track record  
\- Confidence and ambition to compete at a global level with the brightest minds  
\- Highly collaborative, low-ego mindset — typically more introverted but deeply focused and reliable  
\- IT and coding aren’t just your job — they’re your biggest passion  

**Nice to Have:**  
\- Strong math and ML skills (big plus for improving our optimization engine)  
\- Solid experience with autoscaling Kubernetes (K3s), Terraform, and Helm/Kustomize on Hetzner Cloud  
\- Experience with TimescaleDB/TigerData  
\- Familiarity with financial data, especially Databento API (CME futures)  
\- C# skills (Quantower or NinjaTrader integration)  
\- Knowledge of AI/agent systems (e.g., n8n, LLMs, Reinforcement Learning)

## Benefits

\- Work on a cutting-edge, high-performance trading platform — probably the most exciting playground you’ve seen as a tech/quant enthusiast  
\- Collaborate with a small, elite, international quant team  
\- Risk-free, paid probation period (part-time) — ideal to test long-term fit while keeping your current job (10–20h/week over 6 months)  
\- Remote-first culture  
\- Possibility of a long-term collaboration if the work results meet expectations  
\- Learn faster and deeper than anywhere else — directly from highly experienced quants and developers

⚙️ --- Process ---  
\- Short interview (~1.5h) — no LeetCode nonsense, no live coding. Just a real, deep-level tech talk between quant/tech nerds  
\- 6-month paid trial (part-time beside your current job) to ensure a strong mutual fit for both sides  
\- Offer for a long-term collaboration with a very competitive compensation package (Base + Profit-Share + VSOPs)

Employee

We’re building a tech-hedge-fund-style intraday algorithmic trading platform and are looking for a Rust/Python Quant Developer with strong data and cloud engineering expertise. 
You’ll work on everything from trading signal logic to large-scale data pipelines and infrastructure automation. 
You’ll join our core team of two highly experienced quants who are also full-stack developers with deep data and cloud expertise — the bar is high, but the learning curve and impact are massive. It’s absolutely fine if you’re not yet an expert in every area — you’ll grow into it quickly working alongside us. We’ll mentor and support you closely throughout the process. 
Our system goes live next week, and you’ll play a key role in evolving it from a powerful launch version into a world-class trading engine.
<h2 id="tasks">Tasks</h2>
- Design and implement scalable, modular, and testable trading and backend components (e.g., bot signals for technical indicators, orderflow, price action, ML-based algorithms) in Rust - Improve and extend our strategy optimization framework in Rust - Develop and maintain TB-scale Dagster/DBT ETL pipelines in Python - Optimize data ingestion, storage, and queries for TimescaleDB/PostgreSQL - Maintain and enhance our K3s cluster on Hetzner Cloud (autoscaling, reliability, observability) using Terraform, Helm, and Kustomize - Build and extend Grafana dashboards and alerting systems for market data, bot observability, and system health - Collaborate closely with our bot operators to detect, analyze, and fix issues in live trading
<h2 id="requirements">Requirements</h2>
Core: - Strong experience in Rust (most important skill!) - Proven background in Python-based data engineering and scalable data architectures - Basic Kubernetes skills - Proficiency with the Grafana Stack (dashboards, monitoring, alerting, capacity planning) - Genuine passion for financial markets and algorithmic trading - Strong academic background and/or impressive track record - Confidence and ambition to compete at a global level with the brightest minds - Highly collaborative, low-ego mindset — typically more introverted but deeply focused and reliable - IT and coding aren’t just your job — they’re your biggest passion 
Nice to Have: - Strong math and ML skills (big plus for improving our optimization engine) - Solid experience with autoscaling Kubernetes (K3s), Terraform, and Helm/Kustomize on Hetzner Cloud - Experience with TimescaleDB/TigerData - Familiarity with financial data, especially Databento API (CME futures) - C# skills (Quantower or NinjaTrader integration) - Knowledge of AI/agent systems (e.g., n8n, LLMs, Reinforcement Learning)
<h2 id="benefits">Benefits</h2>
- Work on a cutting-edge, high-performance trading platform — probably the most exciting playground you’ve seen as a tech/quant enthusiast - Collaborate with a small, elite, international quant team - Risk-free, paid probation period (part-time) — ideal to test long-term fit while keeping your current job (10–20h/week over 6 months) - Remote-first culture - Possibility of a long-term collaboration if the work results meet expectations - Learn faster and deeper than anywhere else — directly from highly experienced quants and developers
⚙️ --- Process --- - Short interview (~1.5h) — no LeetCode nonsense, no live coding. Just a real, deep-level tech talk between quant/tech nerds - 6-month paid trial (part-time beside your current job) to ensure a strong mutual fit for both sides - Offer for a long-term collaboration with a very competitive compensation package (Base + Profit-Share + VSOPs)

Rust/Python Quant Developer with Data & Cloud Engineering Skills

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