DevOps Engineer

Stormlight Capital; Chicago (IL); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading high-frequency trading firm is seeking a DevOps Engineer to enhance their trading operations. In this high-impact role, you'll design critical infrastructure and ensure performance under pressure, while working with cutting-edge technology and a collaborative culture that promotes rapid career advancement.

Benefits

Bonus based on performance

Flexible schedule

Home office stipend

Opportunity for advancement

Paid time off

Profit sharing

Signing bonus

Training & development

Qualifications

• 3+ years of DevOps/Platform Engineering experience in high-performance environments.
• Expert-level proficiency with AWS and Google Cloud Platform services.
• Strong experience with DataBricks for big data and ML workloads.

Responsibilities

• Design, deploy, and maintain highly available, low-latency trading infrastructure.
• Optimize system performance to achieve sub-millisecond latency requirements.
• Implement robust security measures for financial trading infrastructure.

Skills

AWS

Google Cloud Platform

Python

Bash

Go

GitHub

DataBricks

Monitoring tools

Job description

Benefits:

Bonus based on performance

Competitive salary

Flexible schedule

Home office stipend

Opportunity for advancement

Paid time off

Profit sharing

Signing bonus

Training & development

About Stormlight Capital

Stormlight Capital LLC is a high-frequency trading firm and market maker specializing in event contracts. Leveraging advanced technology and quantitative expertise, we deliver deep liquidity, efficient pricing, and robust risk management for our proprietary trading strategies. Continuous innovation and disciplined execution keep us at the forefront of event-based markets.

The Role

We're seeking an exceptional DevOps Engineer to join our elite technology team. This is a high-impact position where your work directly influences our trading performance and bottom line. You'll architect and maintain the critical infrastructure that powers our derivatives trading operations, ensuring our systems can process millions of market data points and execute trades at lightning speed.

Key Responsibilities

Design, deploy, and maintain highly available, low-latency trading infrastructure across AWS, co-located servers, and Google Cloud platforms

Optimize system performance to achieve sub-millisecond latency requirements for critical trading applications

Build and maintain CI/CD pipelines using GitHub Actions for rapid, reliable deployments

Develop and maintain machine learning operations pipelines supporting our quantitative research and trading models

Manage DataBricks environments for large-scale data processing and model training workflows

Implement automated model deployment, monitoring, and rollback procedures

Ensure seamless integration between ML models and production trading systems

Implement comprehensive monitoring, alerting, and observability solutions for trading systems

Conduct performance analysis and capacity planning to ensure systems can handle peak market volatility

Lead incident response and post-mortem analysis for any system issues

Implement robust security measures for financial trading infrastructure

Required Qualifications

3+ years of DevOps/Platform Engineering experience in high-performance environments

Expert-level proficiency with AWS and Google Cloud Platform services

Strong experience with DataBricks for big data and ML workloads

Proficiency with GitHub for version control and CI/CD workflows

Experience with monitoring tools (Prometheus, Grafana, DataDog, etc.)

Understanding of network optimization, kernel tuning, and hardware acceleration

Strong scripting abilities in Python, Bash, and/or Go

Experience with automation frameworks and configuration management tools

Understanding of software development lifecycle and testing methodologies

Preferred Qualifications

Previous experience in financial services, particularly trading firms or hedge funds

Knowledge of derivatives markets, trading systems, or market data feeds

Experience with streaming data platforms (Kafka, Pulsar, Kinesis, Chronicle Queue, Aeron)

Familiarity with quantitative finance or machine learning model deployment

Relevant certifications (AWS Solutions Architect, Google Cloud Professional, CKA/CKAD)

What We Offer

Highly competitive base salary with substantial performance-based bonuses

Participation in firm profits

Work alongside world-class technologists and quantitative researchers

Access to cutting-edge technology and unlimited learning opportunities

Fast-paced environment with rapid career advancement potential

Collaborative culture that values innovation and results

Flexible work arrangements with core collaboration hours

This is a remote position.