DevOps Engineer

Stormlight Capital·Remote(Illinois)
Software Development

WFA Digital Insight

In the rapidly evolving landscape of remote work, DevOps roles are in high demand, particularly within the finance sector. Companies like Stormlight Capital push the boundaries of technology to enhance trading efficiency, making this position vital. The current market shows a significant rise in the need for professionals skilled in continuous integration, machine learning, and cloud technologies. Candidates interested in this role should highlight their experience in AWS and CI/CD pipelines, as these are critical to ensuring trading operations run seamlessly in a fast-paced environment.

Job Description

About Stormlight Capital

Stormlight Capital LLC is a high-frequency trading firm and market maker that specializes in event contracts, utilizing advanced technology to provide deep liquidity and efficient pricing.

About the Role

We are looking for an exceptional DevOps Engineer to join our top-notch technology team. This high-impact role directly influences trading performance by architecting and maintaining critical infrastructure.

Responsibilities

  • Design, deploy, and maintain trading infrastructure across AWS and Google Cloud.
  • Optimize system performance for critical trading applications.
  • Build and manage CI/CD pipelines using GitHub Actions.
  • Develop operations pipelines for machine learning support.
  • Manage large-scale data processing and model training workflows in DataBricks.
  • Implement automated model deployment procedures with monitoring.
  • Ensure integration between ML models and trading systems.
  • Setup monitoring and alerting solutions for trading systems.

Benefits

  • Performance-based bonus.
  • Flexible schedule and home office stipend.
  • Opportunities for advancement and training.
  • Profit sharing and paid time off.
  • Signing bonus included.

How to Stand Out

  • Familiarize yourself with AWS and Google Cloud platforms, as these are essential for the role.
  • Highlight experience with CI/CD tools and GitHub Actions in your application.
  • Demonstrate knowledge in low-latency trading systems, as performance optimization is key.
  • Prepare for technical interviews by practicing system design scenarios related to trading infrastructures.
  • Be ready to discuss any previous experience with machine learning integrations in production systems.

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