Tech Lead will play a crucial role in improving user experience, optimizing transactions, and ensuring seamless order processing across our platform. You will lead a cross-functional team of engineers, collaborating closely with Product, UX/UI, and Data teams to build high-performance, scalable, and user-friendly solutions for our customers.
Key Responsibilities:
Technical Leadership – Own the architecture, development, and optimization of PDP, Checkout, and Dashboard to drive conversions and improve user engagement.
Scalability & Performance – Ensure fast load times, reliable order processing, and a seamless checkout experience for thousands of daily transactions.
Collaboration – Work closely with Product, UX/UI, Data, and Engineering teams to create intuitive and data-driven customer experiences.
Mentorship & Code Quality – Lead by example, conducting code reviews, mentoring engineers, and driving a culture of technical excellence.
System Design & Innovation – Continuously improve Buymed’s PDP, checkout, payments, and customer dashboard, integrating the latest technologies and best practices.
Monitoring & Troubleshooting – Ensure high availability, reliability, and bug-free experiences across core purchasing flows.
Job Requirement
Must-Have:
5+ years of software engineering experience, with at least 2 years in a Tech Lead role.
Proficiency in backend and frontend technologies, such as React, Golang
Experience building & maintaining scalable microservices, API design, and GCP
Deep understanding of performance optimization, caching strategies, and high-traffic database scaling
Experience leading cross-functional teams and driving technical roadmaps.
Strong problem-solving skills and ability to make data-driven product decisions.
Proven ability to lead a squad focused on continuous improvement, dev & QA automation, and increasing dev efficiency/throughput.
Nice-to-Have:
Experience in eCommerce, B2B marketplaces, or fintech platforms.
Familiarity with A/B testing, analytics, and personalization for improving user engagement.
Exposure to GraphQL, event-driven architectures, or AI-powered recommendations.
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