Site Reliability Engineer

2 months ago

Old Toronto, Canada The Voleon Group Full time

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than 15 years, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multi-billion-dollar asset manager, and we have ambitious goals for the future.

Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and the submarine service. You will be part of a team that loves to succeed together.

As a Site Reliability Engineer (SRE), you will work at the intersection of production operations and software development as you improve, manage, and monitor production-critical infrastructure and data pipelines. At Voleon, many SREs serve together on a Production Operations team tasked with improving shared production infrastructure. Others are embedded with teams of software engineers to improve specific production systems owned by those teams. Voleon SREs work on important real-world problems and collaborate with passionate and talented colleagues in an empowering, results-driven environment. This role is a way to make a real difference: your contributions will make our critical systems more reliable, lower operational risk, and increase the efficiency of our engineering effort.

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
Requirements
  • 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
Preferred Qualifications
  • Familiarity with best practices concerning code maintainability, documentation, quality assurance, continuous integration and deployment
  • Experience supporting production systems
  • Experience with any of the following: gRPC microservices, Postgres, Pandas, Golang, R, Git, Jenkins, Bazel, Prometheus, Grafana, Airflow, Kubernetes
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