CONTRACT: Sr DevOp / Cloud Engineer LOCAL CANDIDATES PREFERRED (NO AGENCIES)
About The Position
This hands-on role helps design, develop, deploy, and maintain large-scale data systems that enable Volkswagen Group to better understand and serve its customers. The engineer works with local and international colleagues to develop global-scale infrastructure for acquiring and analyzing data and supporting machine learning using data from future Volkswagen Group vehicle releases. The role supports a petabyte-scale data collection and machine learning infrastructure project intended to power future intelligent driving systems. It helps advance implementation through automotive development phases, from research through deployment supporting millions of vehicles. The position is located in Belmont, California, and may require domestic and international travel of up to 10%.
Requirements
- Experience with DevOps technologies including Docker and AWS, including CloudFormation.
- Broad skills and experience deploying, debugging, and managing systems in cloud environments such as 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 development tools such as GIT and familiarity with collaboration tools such as Jira and Confluence or similar tools.
- At least 4 years of industry experience working with cloud technologies and handling DevOps functions for complex systems; the posting also states 5–7 years of professional DevOps and Cloud experience.
- Bachelor’s degree or equivalent required; the education requirements specify a BS in Computer Science or a combination of education and experience.
Nice To Haves
- Familiarity with AWS CodePipeline, AWS CodeDeploy, and AWS CodeCommit CI/CD services.
- Hands-on development with relevant distributed computing languages, frameworks, and libraries.
- Experience with highly scalable, distributed databases and the issues affecting their performance and reliability.
- Experience or understanding of developing machine learning or deep learning systems in a distributed environment.
- Backend development experience with Java and common frameworks such as Spring or Play.
- MS in Computer Science.
Responsibilities
- Support DevOps efforts for a petabyte-scale data collection and machine learning infrastructure project.
- Update, deploy, and monitor team systems, identifying opportunities to improve performance, reliability, and automation.
- Help move implementations through automotive industry development phases, from research to deployment supporting millions of cars.
- Analyze and support DevOps requirements from infrastructure developers and machine learning specialists.
- Oversee day-to-day cloud resource usage and provisioning, including fixed resource needs and systems for dynamic scaling based on project needs.
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What This Job Offers
Career Level
Mid Level
