Lead 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.

• →Design and build solutions for complex business workflows
• →Understanding the user persona and deliver a slick experience
• →AI tool usage, how effectively and quickly the candidate is able to code using AI 
• →use AI to generate HLD and LLD documents. Get it reviewed by the AI, evaluate whether the suggestion given by the AI tool is right. Also, use AI to code some of the key components
• →Build Scalable agentic workflows
• →Take end to end ownership of components and be responsible for the subsystems that you work on from design, code, testing, integration, deployment, enhancements, etc.
• →Write high-quality code and taking responsibility for their task
• →Solve performance bottlenecks
• →Mentor junior engineers
   
• →Communicate and collaborate with management, product, QA, UI/UX teams
• →Deliver with quality, on-time in a fast-paced start-up environment
  
  Minimum Qualification :
• →Bachelor/Master's in computer science or relevant fields
• →8+ years of relevant experience
• →Strong sense of ownership
• →Excellent with Java and object-oriented development skills with exposure on leading a team 
• →Holds experience in building ai agents
• →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 developings 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