DevOps Engineer for Artificial Intelligence and Machine Learning
4 semanas atrás
Voleon is a cutting-edge technology company specializing in the application of state-of-the-art machine learning techniques to real-world problems in finance. For over a decade, we have been at the forefront of this field, leading our industry with innovative solutions. Our team includes internationally recognized experts in machine learning research as well as experienced technology and finance professionals.
About This RoleAs a Senior DevOps Software Engineer, you will be part of a high-performing team that works closely with software engineering, research, and systems teams to build the backbone of our business. This role is a key contributor to maximizing the productivity of personnel, tools, and workflows that deliver software at Voleon.
Main Responsibilities:
- Support Voleon's build processes and continuous delivery tools, manage software development tools, and automate systems and operations
- Collaborate 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 eight 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
- Experience administering AWS or similar cloud infrastructure platforms via Terraform or other Infrastructure-as-Code tools
- 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
- Understanding of relational databases (primarily PostgreSQL) and NoSQL data management tools
- Eagerness to work with diverse teams
Salary Range: $180,000 - $220,000 per year, depending on experience and qualifications
This role is a great opportunity to join a dynamic team and contribute to the success of a cutting-edge technology company. If you are passionate about AI and ML and have the required skills and experience, we encourage you to apply.
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