Tekion Corp
Website:
tekion.com
Job details:
Role:Engineering Manager
Location:Bangalore
About Tekion:
Tekion is building the first cloud-native platform for the automotive retail industry. Our platform brings together dealer operations, digital retail, OEM integrations, and data intelligence to transform how dealers and OEMs operate at scale.
Key Responsibilities:
- Lead and manage backend engineering teams while driving the design and development of scalable solutions for complex business workflows.
- Partner with Product, Design, and Business teams to understand user personas and deliver seamless, high-quality product experiences.
- Drive adoption of AI-assisted development practices, ensuring engineers effectively leverage AI tools to accelerate coding, design documentation, and engineering productivity.
- Utilize AI tools to generate and review HLD and LLD documents, evaluate AI-generated recommendations, and guide teams in using AI for component development.
- Provide technical leadership in system architecture, microservices design, and distributed systems.
- Own the end-to-end lifecycle of backend platforms and services including design, development, testing, integration, deployment, and continuous improvement.
- Ensure high-quality engineering standards, code reviews, and architectural best practices across the team.
- Identify and resolve performance bottlenecks, scalability challenges, and reliability issues in large-scale systems.
- Mentor and develop engineers, fostering a high-performance engineering culture and strong ownership mindset.
- Collaborate closely with management, product, QA, and UI/UX teams to deliver impactful solutions.
- Drive on-time, high-quality delivery in a fast-paced start-up environment while continuously improving engineering processes and practices.
Minimum Qualifications:
- Bachelor’s or Master’s degree in Computer Science or a related field.
- 10+ years of experience in backend software engineering with strong technical leadership exposure.
- Proven experience in leading and mentoring engineering teams.
- Strong sense of ownership with the ability to drive large-scale system design and delivery.
- Expertise in Java and object-oriented design principles.
- Hands-on experience with AI development tools such as Copilot, Amazon CodeWhisperer, Claude AI, CodeGeeX, Tabnine, MutableAI, Codacy, etc., for code generation and code reviews.
- Hands-on experience working with LLMs for solution design, integration, or AI-driven development workflows.
- Strong experience in building, scaling, and managing microservices-based architectures.
- Strong problem-solving, debugging, and technical troubleshooting skills.
- Ability to act as a role model for engineering excellence and enforce strong code quality standards across the team.
- Strong expertise in RDBMS and NoSQL technologies.
- Experience developing enterprise-scale systems such as eCommerce, manufacturing, or supply chain platforms.
- Excellent understanding of performance debugging, optimization techniques, and system reliability.
- Strong experience with Java, MongoDB, MySQL, AWS, Spring Boot, Kafka, and ELK stack.
- Experience building large-scale cloud-based systems and distributed platforms.
- Demonstrating ability to deliver high-impact solutions in fast-paced environments.
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