Stormlight Capital: DevOps Engineer

Salary: $225,000.00 - $325,000.00 per year

Location: Remote

Introduction

Are you passionate about technology and looking to join a fast-paced, innovative company? Look no further than Stormlight Capital! We are seeking an exceptional DevOps Engineer to join our elite technology team. This high-impact position directly influences our trading performance and bottom line. With a competitive salary, bonus opportunities, and flexible schedule, this is a unique opportunity for a driven individual to excel in a dynamic, cutting-edge environment.

About Stormlight Capital

Stormlight Capital LLC is a high-frequency trading firm and market maker specializing in event contracts. We leverage advanced technology and quantitative expertise to deliver deep liquidity, efficient pricing, and robust risk management for our proprietary trading strategies. Our continuous innovation and disciplined execution keep us at the forefront of event-based markets. Join our team and be a part of our mission to revolutionize the trading industry.

Key Responsibilities

• Design, deploy, and maintain highly available, low-latency trading infrastructure across multiple cloud platforms
• Optimize system performance to achieve sub-millisecond latency requirements for critical trading applications
• Develop and maintain CI/CD pipelines for rapid and reliable deployments
• Manage DataBricks environments for big data and machine learning workloads
• Implement automated model deployment, monitoring, and rollback procedures
• Ensure seamless integration between machine learning models and production trading systems
• Conduct performance analysis and capacity planning
• Lead incident response and post-mortem analysis
• 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 machine learning 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)

Perks and Benefits

• Competitive base salary with substantial performance-based bonuses
• Participation in firm profits
• Flexible work arrangements and home office stipend
• Opportunity for career advancement
• Paid time off and training and development opportunities
• Collaborative culture that values innovation and results
• Access to cutting-edge technology and unlimited learning opportunities

Apply here