About the job

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 architect scalable backend solutions to support complex business workflows and high-volume systems
Leverage AI tools effectively for coding, documentation, and design
Use AI to generate HLD and LLD documents and validate AI-generated recommendations.
Utilize AI tools to generate and review code, ensuring accuracy and maintainability.
Apply AI for faster prototyping, solution evaluation, and improving engineering productivity.
Own end-to-end delivery of components and subsystems—including design, development, testing, integration, deployment, and enhancements.
Write high-quality, clean, and maintainable Java code and take full responsibility for assigned tasks.
Identify and resolve performance bottlenecks and optimize backend systems.
Mentor junior engineers, guide them on best practices, and uphold high engineering standards.
Collaborate closely with Product, QA, UI/UX, and Management teams to deliver high-quality features on schedule.
Ensure delivery excellence in a fast-paced, startup environment with a strong focus on quality and timelines.

Minimum Qualifications:

Bachelor/Master's in computer science or relevant fields
14+ years of relevant experience
Strong sense of ownership
Excellent Java and object-oriented development skills
Experience working on AI Tools like Copilot, Amazon CodeWhisperer,claudeAI, CodeGeeX, Tabnine, MutableAI, Codacy ectc... for code review & code generation.
LLM's hands-on for Solution or integration experience
Experience in building and scaling microservices
Strong problem-solving skills, technical troubleshooting and diagnosing
Expected to be a role model for young engineers, have a strong sense of code quality and enforce code
Quality within the team
Strong knowledge in RDBMS and NoSql technologies
Experience in developing for enterprise systems like eCommerce / manufacturing / supply chain etc
Excellent understanding of Debugging performance and optimization techniques
Experience in Java, Mongo, MySQL, AWS technologies, ELK stack, Spring boot, Kafka
Experience in developing any large scale Experience in cloud technologies
Demonstrated ability to deliver in a fast-paced environment

Software Architect- Engineering