DRW
DevOps Engineer
About this role
DRW, a diversified trading firm, seeks a DevOps Engineer to join its Security Engineering team in Chicago or Austin. You'll design and operate secure, scalable infrastructure while embedding security practices into development pipelines without hindering innovation.
What you'll do
- Build and maintain CI/CD pipelines and GitOps workflows
- Design security solutions for development pipelines including DAST and SAST integration
- Manage containerized environments (Kubernetes, Docker) with secure configuration focus
- Implement infrastructure-as-code and automate operational and security processes
- Improve observability, monitoring, and alerting for security and infrastructure systems
- Support incident response and remediation for infrastructure and deployment issues
What they're looking for
- Programming and scripting
- CI/CD systems design and maintenance
- Infrastructure as code (Terraform, CloudFormation)
- Kubernetes and container orchestration
- Linux systems and networking fundamentals
- Cloud platforms (AWS, Azure, GCP)
- Security fundamentals and secrets management
- Problem-solving and cross-team collaboration
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
DRW
DRW is a diversified trading firm that builds and maintains trading technology infrastructure, risk management systems, and systematic trading platforms supporting global 24/7 operations across multiple asset classes. The company is hiring Desktop Systems Engineers, Trade Systems Engineers, and Software Engineers to support endpoint infrastructure, trading system reliability, risk analytics, and full-stack trading platform development.
- Website
- drw.com
Likely interview questions
- Walk us through your experience building and maintaining CI/CD pipelines. What tools have you used, and how have you approached integrating security checks without slowing down deployments?
- Describe your hands-on experience with Kubernetes across multiple clusters and environments. How do you approach secure configuration and runtime protection in containerized systems?