Job description

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. 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 “FRIENDS OF VOLEON” CANDIDATE REFERRAL PROGRAM If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form voleon.com to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program voleon.com. EQUAL OPPORTUNITY EMPLOYER The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Requirements

Must-haves

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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonsqlpostgresgolangkubernetes

Platform: ashby
Effort: quick