$ cat jobs/staff-software-engineer-backend-tekion-84f5fba30ee7.json
Staff Software Engineer - Backend
ABOUT TEKION: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Key Responsibilities - Design and build scalable backend systems and distributed microservices. - Own services end-to-end, including design, development, testing, deployment, and monitoring. - Develop solutions for complex business workflows and enterprise applications. - Collaborate with Product, QA, UI/UX, and engineering teams to deliver high-quality solutions. - Drive system performance, scalability, reliability, and operational excellence. - Lead architecture discussions and contribute to platform evolution. - Troubleshoot production issues and drive root cause resolution. - Mentor engineers and promote engineering best practices. - Deliver high-quality software in a fast-paced agile environment. Required Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - 8–10 years of backend software engineering experience. - Strong expertise in Java, Spring Boot, and object-oriented design. - Hands-on experience with Microservices, distributed systems, and cloud-native architectures. - Strong understanding of system de
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