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This hands-on position is responsible for helping to design, develop, deploy, and maintain big cutting-edge data systems to enable the VW Group to better understand and serve our customers. This position will work with local and international colleagues developing global-scale infrastructure supporting acquisition, analysis, and machine learning using data coming from future vehicle releases of the VW Group (including brands such as Volkswagen, Audi, Porsche, etc.).
You will support the DevOps efforts for a petabyte-scale data collection and machine learning infrastructure project that will power future intelligent driving systems.
Update, deploy, and monitor systems developed by the team, proactively looking for opportunities to improve performance, reliability, and automation.
Help move implementation through automotive industry development phases, from research to deployment supporting millions of cars on the road.
Analyze and support DevOps requirements from infrastructure developers and machine learning specialists, focusing on the most important topics in the rapidly evolving automotive industry.
Oversee day-to-day usage and provisioning of cloud resources, both in terms of fixed resource needs, as well as helping build systems for dynamic scaling based on project needs.
Required Skills and Experience:
Experience with key DevOps technologies including Docker, as well as DevOps experience in AWS, including CloudFormation.
Broad skills and experience in deploying, debugging, and managing systems in cloud environments such as AWS.
Ability to build and maintain continuous integration (CI) and continuous deployment (CD) systems for complex, distributed applications, using tools like Jenkins.
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Experience diagnosing and debugging applications in complex, distributed, heterogeneous computing environments.
Mastery of key development tools such as GIT, and familiarity with collaboration tools such as Jira and Confluence or similar tools.
Overall, 4+ years of industry experience working with cloud technologies and handling DevOps functions for complex systems.
Bachelor’s degree or equivalent required.
Desired Skills and Experience:
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 and distributed databases and the key issues affecting their performance and reliability.
Experience or understanding of developing machine/deep learning systems in a distributed environment.
Conventional backend development experience with Java and common frameworks (Spring, Play).
Years of Required Experience
5-7 years professional DevOps and Cloud experience
Education Requirements:
Required
BS in Computer Science or a combination of education and experience
Desired
MS in Computer Science
Work Flexibility:
Ability to work flexible schedule. Domestic (U.S.) and International (Canada & Europe/Germany) travel may be required (up to 10%)
#LI-CK1
Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.
This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security.
This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.
Volkswagen Group (Volkswagen AG) is a German multinational automotive manufacturer headquartered in Wolfsburg, Germany, and one of the world's largest automakers by revenue. Its portfolio includes brands such as Volkswagen, Audi, Porsche, Lamborghini, Bentley, SEAT/CUPRA, Škoda, as well as commercial vehicle brands MAN and Scania, and financial services.
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