Java Tech Lead
7 days ago
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.
Education
What We're Looking For
- 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.
- Ability to balance hands-on coding with strategic technical decision-making.
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