Low-Latency Trading Systems Infrastructure Engineer

Fintal Partners; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Wefers is expanding its infrastructure team to design and enhance the core systems powering real-time trading platforms. You will focus on low-latency production infrastructure, building internal tools for deployment and operations, and advancing observability across critical systems.

The role emphasizes deep Linux expertise, Python-driven automation, and hands-on work with Kubernetes and CI/CD pipelines to improve reliability and scalability in high-availability environments.

Qualifications

• Strong Python experience focused on automation and infrastructure tooling.
• Deep understanding of Linux systems and production infrastructure.
• Experience with Kubernetes and containerized platforms.
• Familiarity with monitoring, observability, and alerting ecosystems.
• Experience with infrastructure as code and configuration management frameworks.
• Strong troubleshooting ability and operational mindset within high-availability environments.
• Ability to work cross-functionally and take ownership of infrastructure initiatives.

Responsibilities

• Design and improve infrastructure supporting low-latency production systems.
• Build internal tooling and platforms for deployment, provisioning, and operational workflows.
• Improve observability, monitoring, and alerting across critical infrastructure.
• Enhance CI/CD pipelines and software delivery processes.
• Partner closely with engineering teams to improve production reliability and scalability.
• Automate operational tasks and infrastructure management across Linux environments.

Skills

Python

Linux

Observability

CI/CD

Automation

Infrastructure as code

Tools

Kubernetes

Job description

Wefers is expanding its infrastructure team to design and enhance the core systems powering real-time trading platforms. You will focus on low-latency production infrastructure, building internal tools for deployment and operations, and advancing observability across critical systems.

The role emphasizes deep Linux expertise, Python-driven automation, and hands-on work with Kubernetes and CI/CD pipelines to improve reliability and scalability in high-availability environments.