Description

Lead DevOps efforts for petabyte-scale data collection and machine learning infrastructure supporting autonomous driving systems.

This role is on-site.

Responsibilities

• Update, deploy, and monitor systems to improve performance, reliability, and automation.
• Oversee day-to-day cloud resource provisioning and build systems for dynamic scaling.
• Support implementation through automotive development phases from research to mass deployment.
• Analyze and support DevOps requirements for infrastructure developers and machine learning specialists.

Required Skills

• 5+ years of industry experience with cloud technologies and DevOps functions for complex systems.
• Hands-on experience with AWS, including CloudFormation, and deploying/debugging systems in AWS.
• Proficiency with Docker for containerization.
• Build and maintain CI/CD systems for complex, distributed applications using Jenkins.
• Experience diagnosing and debugging applications in complex, distributed, heterogeneous computing environments.
• Mastery of Git and familiarity with Jira and Confluence.
• Knowledge of .Net and SQL.

Preferred Skills

• Familiarity with AWS CodePipeline, AWS CodeDeploy, and AWS CodeCommit.
• Hands-on development with distributed computing languages, frameworks, and libraries.
• Experience with highly-scalable distributed databases and their performance/reliability.

Key Skills

Education

Any Graduate