SRE: Build Reliable AI-Driven Finance Systems

The Voleon Group; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

The Voleon Group is a technology-driven company applying AI/ML techniques to finance. We seek an SRE to improve, manage and monitor production-critical infrastructure and data pipelines, collaborating with AI/ML and finance professionals.

You will be part of a Production Operations team, sometimes embedded with software engineers, to enhance reliability, reduce risk, and increase engineering efficiency in a results-driven environment.

Qualifications

• Python coding and debugging experience.
• Experience with Linux.
• Familiarity with Relational Databases & SQL.
• Strong analytical and problem-solving skills.
• Growth mindset and willingness to learn.
• Strong technical communication skills.
• Attention to detail.
• 2 years of relevant industry experience.
• Undergraduate degree in a quantitative field or equivalent.

Responsibilities

• Improve fault-tolerance and maintainability of code in proprietary data pipelines and trading systems.
• Diagnose and fix bugs in code.
• Lead complex deployments.
• Automate manual workflows.
• Track and prioritize outstanding production-related issues.
• Share an on-call rotation responding to incidents to ensure the continuous operation of production-critical systems.

Skills

Python

Linux

SQL

Analytical thinking

Growth mindset

Technical communication

Attention to detail

Education

Bachelor's degree in a quantitative field

Tools

Postgres

Pandas

Golang

R

Git

Jenkins

Bazel

Prometheus

Grafana

Airflow

Kubernetes

gRPC

Job description

The Voleon Group is a technology-driven company applying AI/ML techniques to finance. We seek an SRE to improve, manage and monitor production-critical infrastructure and data pipelines, collaborating with AI/ML and finance professionals.

You will be part of a Production Operations team, sometimes embedded with software engineers, to enhance reliability, reduce risk, and increase engineering efficiency in a results-driven environment.