Hedge Fund - Software Engineer - up to 600k total compensation

Saragossa

Chicago (IL)

On-site

USD 300,000 - 600,000

Full time

7 days ago
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Job summary

Saragossa is seeking a Software Engineer for its Production Platform in a hedge fund environment. You will build and operate distributed systems, own deployment pipelines, and manage configuration and observability tooling across the stack using Kubernetes, Grafana, Prometheus, and Python as the primary language.

You will join a sharp engineering team focused on production reliability, with a strong emphasis on clean infrastructure and thoughtful, sustainable development.

Qualifications

  • Strong Python and production experience with distributed systems.
  • Experience building and operating production-grade infrastructure.
  • Familiarity with configuration management and production debugging.

Responsibilities

  • Build and operate distributed systems for the production platform.
  • Own deployment pipelines and observability tooling across the stack.
  • Collaborate with experienced engineers to maintain reliability in production.

Skills

Python
Distributed systems
Configuration management
Production debugging
Kubernetes

Tools

Grafana
Prometheus

Job description

Software Engineer, Production Platform - Hedge Fund - $300,000 to $600,000 Total Compensation

You get the rigor of a Citadel-caliber firm without the culture that grinds people into the ground.

This fund was built by a former Citadel executive who wanted to do things differently. Same technical standards, same serious approach to the markets, but without the burn and churn that makes so many people walk away from finance altogether. The firm manages over five billion in assets and has been built from the ground up on modern technology. There are no legacy systems here, no inherited messes to unpick, just clean infrastructure and the space to build things properly.

You are joining a sharp engineering team working on the production platform that keeps everything running. You are building and operating distributed systems, owning deployment pipelines, managing configuration and observability tooling across the stack. Day to day you are working with technologies like Kubernetes for workload orchestration, Grafana and Prometheus for monitoring, and Python as your primary language. When something goes wrong in production, you are the person who figures out why and fixes it properly.

The team around you is experienced and genuinely collaborative. You will learn a lot here, not because you are thrown in the deep end alone, but because the people you work alongside know their craft and are happy to share it.

To be right for this, you have strong Python, a solid track record building and operating distributed systems, and real experience with configuration management and production debugging.

This would be a great second role in your career if you have been developing those skills and want to step into a more serious environment without sacrificing your wellbeing to do it.

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