Work in a team of DevOps engineers supporting multiple software projects in the data science and AI domain, many of them open source
Manage cutting-edge hardware and help inform purchasing decisions for the team
Collaborate with build engineers, developers, and management to ensure the delivery of high-quality software
Develop and modernize packages, such as streamlined Python wheels, for RAPIDS data science libraries
Design and maintain container build processes
Take a hands-on approach working with engineers on the team to implement DevOps best practices
Execute on a range of DevOps initiatives including CI/CD, observability, security/legal compliance, and SysAdmin tasks
Operate and maintain our infrastructure and development processes

Requirements

Bachelor of Science in Computer Engineering, Computer Science or related technical field or equivalent work experience
8+ years of technical experience primarily related to DevOps
Proven experience in programming and automation with scripting languages (Bash and Python preferred)
Experience with Conda and/or PyPI packaging, especially building and publishing
Experience with container technologies such as Docker, especially building and publishing
Detail-oriented and comfortable supporting and prioritizing amongst multiple teams
Experience with administration, optimization, and troubleshooting of CI/CD and related tools (including Jenkins, Git, GitHub Actions)
Experience with cloud services (AWS, Azure, and others), especially permissions, budget, and cost management
Linux system administration experience (Ubuntu strongly preferred)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

DevOpsPythonBashCI/CDDockerCondaPyPILinuxJenkinsGit

Soft Skills

detail-orientedcollaborationprioritization

Certifications

Bachelor of Science in Computer EngineeringBachelor of Science in Computer Science