Site Reliability Engineer: Production Systems & Data Pipelines

Voleon

Greater London

On-site

GBP 75,000 - 120,000

Full time

5 days ago
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Job summary

Voleon is seeking a Site Reliability Engineer to improve, manage, and monitor production-critical infrastructure and data pipelines in a finance-focused technology environment. You will join Production Operations or be embedded with software teams to reduce operational risk, lead complex deployments, and automate workflows while handling on-call incidents.

The role requires Python coding, Linux, SQL, and strong analytical skills, with at least 2 years of industry experience and a quantitative

Qualifications

  • Experience with coding and debugging Python.
  • Experience with Linux.
  • Familiarity with Relational Databases & SQL.
  • Sharp analytical and problem-solving skills and a persistent drive to make things work (better).
  • Strong growth mindset and a passion for learning.
  • Strong technical communication skills.
  • Attention to detail.
  • 2 years of relevant industry experience.
  • An undergraduate degree or comparable training in a quantitative field or equivalent, relevant industry experience

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 programming
Linux
SQL
Analytical thinking
Growth mindset
Technical communication
Attention to detail
On-call coordination

Education

Bachelor's degree or equivalent in a quantitative field

Tools

Postgres
Pandas
Golang
Git
Jenkins
Kubernetes
Prometheus
Grafana
Airflow

Job description

Voleon is seeking a Site Reliability Engineer to improve, manage, and monitor production-critical infrastructure and data pipelines in a finance-focused technology environment. You will join Production Operations or be embedded with software teams to reduce operational risk, lead complex deployments, and automate workflows while handling on-call incidents.

The role requires Python coding, Linux, SQL, and strong analytical skills, with at least 2 years of industry experience and a quantitative

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