Senior Software Engineer

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.

Job Introduction:

Leads the development of complex software features and contributes to architectural decisions across Tekion’s platforms. Mentors junior engineers, promotes engineering best practices, and drives technical excellence in both design and implementation.

Key Roles & Responsibilities:

• Designs and builds scalable, high-performance systems and services to support business growth and technical evolution.
• Leads feature development from concept to deployment, ensuring quality, performance, and maintainability.
• Collaborates with architects and senior engineers to influence system design and technical strategy.
• Mentors junior engineers and fosters a culture of continuous learning and code quality.
• Conducts code reviews, sets engineering standards, and drives adoption of best practices across the team.
• Identifies bottlenecks and proactively resolves technical challenges in production and development environments.

Basic Qualifications:

• 5–7 years of experience in software engineering
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Expertise in one or more modern programming languages (e.g., Java, Python, JavaScript, C++
• Strong understanding of distributed systems, cloud-native services, and performance optimization
• Experience with microservices, containerization (e.g., Docker, Kubernetes), and cloud platforms (e.g., AWS, GCP, Azure)
• Excellent problem-solving, mentorship, and communication skills
• Proven track record of delivering production-grade software and improving team effectiveness, using AI tools like Claude and Copilot