Platform Engineer

Duties And Responsibilities:

• Architect, design, implement, and maintain cloud infrastructure supporting virtual tire development process. Leverage DevOps and ensure the reliability, security, scalability, and performance of cloud platforms and services.Manage distributed systems
• Manage python-based frameworks, tools, and support machine learning operations. Develop and optimize python-based pipelines and workflows for data ingestion, processing, transformation, and integration from various sources and formats.
• Establish and follow IT governance around citizen-developed solutions. Own the application acceptance process, communication, cost control and technical roadmaps.
• Perform troubleshooting and investigation activities as it relates to technology incidents/outages/bugs. Develop break-fix solutions to problems involving causes that are not obvious. Identify and respond to problems by diagnosing and correcting errors that do not have a known cause. Provide advice and implement secure technical solutions necessary to ensure confidentiality, integrity, and availability of systems. Write and maintain all documentation supporting primary area of responsibility.
• Investigate and report on latest information technologies, techniques and processes that could digitally enable business strategies. Increase breadth and depth of technical knowledge by expanding knowledge base.

Requirements:

• Hands-on, solid experience with Distributed Systems, Kubernetes, AWS, Terraform, Ansible, Docker and Podman.
• Strong experience working with DevOps concepts and CI/CD pipelines (ideally GitHub toolset).
• Proficient in python programming and scripting, with solid knowledge of python libraries and frameworks.
• Understanding of complex authentication, networking, cyber security topics.
• Experience in working with data engineering related technologies and processes such as SQL, ETL, etc.
• Good understanding of general Linux system
• Experience with distributed messaging systems would be an advantage (Artemis, RabbitMQ, Kafka)

Requirements:

• Hands-on, solid experience with Distributed Systems, Kubernetes, AWS, Terraform, Ansible, Docker and Podman.
• Strong experience working with DevOps concepts and CI/CD pipelines (ideally GitHub toolset).
• Proficient in python programming and scripting, with solid knowledge of python libraries and frameworks.
• Understanding of complex authentication, networking, cyber security topics.
• Experience in working with data engineering related technologies and processes such as SQL, ETL, etc.
• Good understanding of general Linux system
• Experience with distributed messaging systems would be an advantage (Artemis, RabbitMQ, Kafka)

Goodyear is one of the world’s largest tire companies. It employs about 71,000 people and manufactures its products in 55 facilities in 22 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to Goodyear.com.

Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.