Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion 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.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
As a DevOps Engineer, you will work with the software engineering, research, and systems teams to build the backbone of our business. This role is a means to make a difference: your role will serve as a force multiplier to maximize the productivity of the personnel, tools, and workflows that deliver software at Voleon.
Ensure that the software created is of high quality and is deployed and supported in an efficient and reproducible way
Support Voleon's build processes and continuous delivery tools, manage software development tools, and automate systems and operations
Design and support production implementations of in-house and third-party software applications
At least five years of experience with software development, production application support, and/or Linux systems administration
Experience with continuous Integration platforms such as Jenkins, TeamCity, CircleCI, or Bamboo
Experience with software testing practices and tools
Fluent with Python and Git
Knowledge of common virtualization and containerization tools
Experience with configuration automation tools, such as Ansible, Chef, or Puppet
Strong background in Linux/Unix administration
Understanding of relational databases (primarily PostgreSQL) and NoSQL data management tools
Bachelor’s degree in computer science or a related technical field
Knowledge of other software languages such as Groovy, R, and Go
Experience configuring and using the ELK stack
Proficiency with Apache Mesos and Docker
Experience with systems/network monitoring tools such as Nagios, Icinga, Zabbix, Prometheus, Grafana, and Graphite
Familiar with Agile project management concepts
“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 to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
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.
About The Voleon Group
Co-founded in 2007 by two leading scientists, The Voleon Group combines an academic approach to research with an emphasis on scalability and risk management to deliver cutting-edge technology at the forefront of the finance industry. Many of our leaders and employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines. We are committed to exemplary performance in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.
Voleon’s CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer/Director of Research is a Statistics faculty member at UC Berkeley, where he earned his Ph.D.