Senior DevOps​/Cloud Engineer

• Help design, develop, deploy, and maintain cutting-edge, petabyte-scale data systems
• Support Dev Ops efforts for data collection and machine learning infrastructure powering intelligent driving systems
• Update, deploy, and monitor team systems
• Improve system performance, reliability, and automation
• Support implementation through automotive development phases from research to deployment
• Analyze and support Dev Ops requirements from infrastructure developers and machine learning specialists
• Oversee daily use and provisioning of cloud resources
• Help build dynamic-scaling systems based on project needs
• Collaborate with local and international colleagues on global-scale infrastructure

• Experience with Docker and AWS Dev Ops, including Cloud Formation
• Broad experience deploying, debugging, and managing cloud systems, especially AWS
• Ability to build and maintain CI/CD systems for complex distributed applications using tools such as Jenkins
• Experience diagnosing and debugging applications in complex, distributed, heterogeneous computing environments
• Mastery of GIT
• Familiarity with Jira and Confluence or similar collaboration tools
• 4+ years of industry experience with cloud technologies and Dev Ops functions for complex systems
• 5-7 years of professional Dev Ops and Cloud experience
• Bachelor's degree or equivalent required
• BS in Computer Science or a combination of education and experience required
• Familiarity with AWS Code Pipeline, AWS Code Deploy, and AWS Code Commit
• Hands-on development with distributed computing languages, frameworks, and libraries
• Experience with highly scalable and distributed databases and related performance and reliability issues
• Experience or understanding of developing machine/deep learning systems in a distributed environment
• Backend development experience with Java and frameworks such as Spring and Play
• Ability to work a flexible schedule
• Ability to travel domestically in the U.S. and internationally to Canada and Europe/Germany, up to 10%

Demonstrates expertise in designing, deploying, and maintaining cloud-based data systems, with a strong focus on Dev Ops practices and machine learning infrastructure. Proficient in managing CI/CD pipelines and optimizing system performance in complex distributed environments.

• AWS Dev Ops
• Docker
• CI/CD Systems
• Cloud Technologies
• Backend Development with Java

• Cloud Formation
• GIT
• Distributed Computing
• Machine Learning Systems
• Highly Scalable Databases
• Java
• Spring Framework
• Play Framework
• Debugging Applications
• Performance Optimization

• Collaboration
• Flexibility
• Problem-solving

• Dev Ops
• Cloud Systems
• Distributed Applications
• Automotive Development
• Intelligent Driving Systems

• Jenkins
• Jira
• Confluence
• AWS Code Pipeline
• AWS Code Deploy
• AWS Code Commit