Staff Software Engineer

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.

Provides technical leadership in designing and building scalable, high-performance systems. Leads key engineering initiatives, mentors developers across teams, and contributes to the evolution of Tekion’s platform architecture and engineering excellence.

• Leads development of complex software solutions and ensures alignment with architectural direction and business objectives. • Designs large-scale system components, ensuring scalability, reliability, and maintainability. • Partners with product managers and cross-functional leaders to translate business requirements into technical deliverables. • Guides engineering best practices, code standards, and performance tuning across teams. • Mentors and coaches engineers at all levels, supporting career growth and engineering maturity. • Investigates system-wide issues and drives root cause analysis and resolution strategies.

• 7–10 years of experience in software engineering • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • Proven experience designing and delivering distributed systems and large-scale applications, using AI tools like Claude and Copilot • Proficiency in cloud-native development, containerization, and modern development tools and frameworks • Strong skills in system performance, scalability, fault tolerance, and observability • Demonstrated ability to lead by example, mentor peers, and drive engineering excellence • Excellent cross-functional collaboration, problem-solving, and communication skills