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 BMX racing. You will be part of a team that loves to succeed together.
As a DevOps Software 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.
Responsibilities
- Support Voleon's build processes and continuous delivery tools, manage software development tools, and automate systems and operations
- Work with stakeholders and product teams to create robust, high-performance software and systems architectures
- Establish and promote best practices for software development and testing
- Design and support implementations of production infrastructure and applications
Requirements
- At least four years of experience with software development or production systems support
- Fluent with Python or at least two other software languages such as Groovy, R, or Go
- Experience implementing and supporting continuous Integration platforms such as Jenkins, TeamCity, CircleCI, or Bamboo
- Experience with automated software testing practices and tools
- Extensive experience with common containerization tools such as Docker and Kubernetes
- Power user of Git
- Familiar with Agile project management concepts
- Ability to initiate and lead cross-team technical projects
- Bachelor’s degree in computer science or a related technical field
Preferred Qualifications
- Experience with configuration automation tools, such as Ansible, Chef, and Puppet
- Exposure to virtualization tools such as KVM
- Experience configuring and using the ELK stack
- Experience with Prometheus, Grafana, or related tools
- Experience with the Bazel build system
- Background in Linux/Unix administration
- Experience administering AWS or similar cloud infrastructure platforms via Terraform or other Infrastructure-as-Code tools
- Understanding of relational databases (primarily PostgreSQL) and NoSQL data management tools
- Eagerness to work with diverse teams
“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 USD $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.
Vaccination Requirement
The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
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