Senior Cloud DevOps Engineer - AWS, CI/CD, Data Systems

Jobtailor

Belmont (CA)

On-site

USD 140,000 - 190,000

Full time

6 days ago
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Job summary

Jobtailor is seeking a senior DevOps/Cloud engineer to design, deploy, and maintain petabyte-scale data systems within an automotive ML infrastructure. You will support data collection, ML workloads, and scalable cloud resources across distributed teams.

The role emphasizes AWS-based cloud deployments, CI/CD automation, and robust debugging in complex distributed environments. Travel up to 10% domestically and internationally is required.

Qualifications

  • Bachelor's degree or equivalent required.
  • BS in Computer Science or a combination of education and experience required.
  • 4+ years of industry experience with cloud technologies and DevOps for complex systems.
  • 5-7 years of professional DevOps and Cloud experience.
  • Experience deploying, debugging, and managing cloud systems, especially AWS.
  • Hands-on development with distributed computing languages and frameworks.

Responsibilities

  • Help design, develop, deploy, and maintain data systems at petabyte scale.
  • Support DevOps efforts for data collection and ML infrastructure powering intelligent driving systems.
  • Update, deploy, and monitor team systems for reliability and performance.
  • Improve system performance, reliability, and automation.
  • Oversee daily use and provisioning of cloud resources and dynamic scaling.

Skills

AWS DevOps
Docker
CI/CD Systems
Cloud Technologies
Backend Java

Education

Bachelor's degree in CS or equivalent
BS in Computer Science

Tools

Jenkins
Jira
Confluence
AWS CodePipeline
AWS CodeDeploy
AWS CodeCommit

Job description

Jobtailor is seeking a senior DevOps/Cloud engineer to design, deploy, and maintain petabyte-scale data systems within an automotive ML infrastructure. You will support data collection, ML workloads, and scalable cloud resources across distributed teams.

The role emphasizes AWS-based cloud deployments, CI/CD automation, and robust debugging in complex distributed environments. Travel up to 10% domestically and internationally is required.

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