Site Reliability Engineer - Enterprise Technology
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Responsibilities
- Build, enhance, and manage a variety of internal systems, from directory services to AI tools, both on-prem and in the cloud
- Enable and promote good engineering practice across the Enterprise Technology organization
- Develop monitoring solutions to ensure high system uptime and reliability; utilize tools to detect and resolve issues proactively
Requirements
- 5+ years of experience in site reliability engineering or related disciplines
- Proficiency with Python
- Experience managing and monitoring containerized infrastructure
- Experience working with CI/CD tools such as Jenkins, GitHub Actions, or ArgoCD
- Expert experience with IaC and configuration management tools such as Terraform, SaltStack, Chef, Puppet, or Ansible
- Experience building and operating services on cloud platforms (e.g. AWS, Azure, GCP)
- Prior experience working within an IT organization is a plus
- Prior experience leading a technical team preferred
- Culture
- Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
Benefits
Additional Information
Hudson River Trading (HRT) is seeking a Senior Site Reliability Engineer to join our growing Enterprise SRE team. This team is responsible for developing and maintaining productivity service infrastructure for the entire firm, both on-prem and in the cloud. They ensure the availability and reliability of systems within this stack, and are the principal drivers of growth for software and infrastructure practice within our larger Enterprise Technology team. In this role you'll build, enhance, and manage a variety of internal systems - from directory services to AI tools, both on-prem and in the cloud - while meeting HRT's unique requirements for reliability and performance. This role requires a deep skill set in Linux, Kubernetes, and observability; proficiency in Python; and solid experience with configuration management/IaC. The ideal candidate is an experienced, hands-on engineer with exceptional organizational, communication, and project management skills.
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