- Lead and manage a team of full-stack engineers, providing guidance, mentorship, and professional development support, while actively contributing to development work to lead by

example.

- Drive the design, development, and maintenance of scalable, reliable, and site-impacting systems that support our product offerings and deliver tangible improvements in operational efficiency.

- Collaborate with customers, product managers, architects, and other team members to translate requirements into solutions that deliver clear operational impact and measurable customer value.

- Follow coding standards, best practices, and a culture of collaboration and code reviews to ensure the production of clean, efficient, and maintainable code that improves long-term site performance and reduces operational issues

- Stay updated on industry trends, emerging technologies, and best practices to continuously innovate and improve solution outcomes.

- Set clear objectives and key results (OKRs) for the team and ensure they are outcome-oriented, aligned with customer success metrics and company goals.

- Work in an Agile/Scrum environment, participate in sprint planning, and contribute to the successful delivery of sprint goals with a focus on value delivered rather than volume of output.

- Create and maintain technical documentation, including design specifications, implementation details, and user guides with a focus on usability and supporting real-world

site success.

- Handle performance management, hiring, and onboarding of new team members, building a team culture focused on impact, ownership, and customer success.

Required :

- 8 - 12 years of strong experience in design & development and a minimum of 2-3 years of experience in leading teams.

- Hands-on coding experience with the ability to contribute to critical modules and mentor team members through code reviews and paired programming.

- Proven experience in delivering software solutions that drive measurable business outcomes, not just feature completion.

- Strong understanding of data structures and algorithms.

- Strong understanding of software engineering principles, system design, and architecture.

- Strong proficiency in Java and Spring Framework (Spring Boot, Spring MVC).

- Experience with relational databases (e.g., MySQL, PostgreSQL) and proficiency in SQL.

- Experience with noSQL databases (e.g., MongoDB and Cassandra).

- Familiarity with cloud platforms (Google Cloud).