Java Tech Lead

What You’ll Be Doing

                       Technical Leadership & Mentorship: Guide a team of engineers, provide technical direction, and establish best practices to drive high-quality software development.

                       Solution Architecture & Design: Own the architecture and design of complex, distributed systems, ensuring scalability, reliability, and performance.

                       Hands-on Development: Actively participate in coding, code reviews, and debugging critical issues while fostering a strong engineering culture.

                       Full-Stack Development: Design and develop robust backend solutions in Java while ensuring a seamless and efficient React-based frontend experience.

                       Performance Optimization: Identify and resolve system bottlenecks, ensuring efficient resource utilization and low-latency responses.

                       Cross-Team Collaboration: Work closely with product managers, designers, and engineers across different teams to align technical solutions with business goals.

                       Continuous Innovation: Stay updated with emerging technologies, evaluate new tools/frameworks, and drive adoption where beneficial.

What We’re Looking For

Education:

                       Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Experience:

                       8+ years of experience in software development, including designing and building large-scale distributed systems.

Knowledge, Skills & Ability:

                       Strong expertise in Java programming, Java design patterns, and high-performance backend development.

                       Proficiency in React for frontend development, with experience in state management (Redux, React Query, or Context API).

                       Proven experience in designing and implementing scalable, fault-tolerant architectures.

                       Proficiency in multiple technologies such as Spring Boot, React, MongoDB, etc.

                       Experience leading and mentoring engineering teams, conducting code reviews, and setting technical standards.

                       Deep understanding of cloud-native architecture, with hands-on experience in platforms like GCP, Azure, or AWS.

                       Expertise in search and retrieval technologies, including ElasticSearch, Apache Solr, or similar. Knowledge of AI-driven search, NLP, and semantic search is a plus.

                       Proficiency in Test Driven Development (TDD) and CI/CD pipelines.

                       Strong problem-solving skills, with experience handling production-level challenges, performance tuning, and system optimization.

                       Experience working in agile environments, with familiarity in Scrum and JIRA.