Job ID: 1424279 Position: Java Tech Lead
Location: Pune
Salary Range: ₹18–21 LPA
Experience Level: 14+ Years
Project Prerequisite Skills
- Large-scale enterprise implementation experience
- Hands-on expertise in designing & building microservices
- Strong understanding of cloud-native principles
- Event-driven architecture design & implementation
- Ability to lead senior developers and drive technical excellence
Role Overview
We are seeking a highly experienced Java Tech Lead capable of driving end-to-end technical delivery of large-scale, cloud-native microservices applications. This role requires a strong hands-on engineering background combined with architecture-level thinking and team leadership capabilities.
Key Responsibilities
- Lead design, development, and implementation of microservices-based applications.
- Architect cloud-native solutions with a focus on scalability, fault-tolerance, and performance.
- Write high-quality, production-grade code with strong adherence to coding standards.
- Build business logic microservices and integration adapters for downstream systems.
- Implement event-driven architectures using Kafka/Solace.
- Design event models, data models, and database schemas.
- Develop reusable cross-cutting components (e.g., event producers/consumers).
- Provide technical leadership, mentorship, and guidance to senior developers.
- Collaborate with architects, product owners, and DevOps teams to ensure seamless delivery.
- Ensure best-in-class engineering practices across microservice design, testing, CI/CD, and deployment.
Required Skillset
- Strong hands-on coding experience in: Java (Core & Advanced), Spring Boot ,Microservices
- Cloud-native microservices design, following industry best practices.
- Experience with Kafka or Solace for event-driven architecture.
- Knowledge of Drools rule engine (preferred).
- Ability to work independently on complex engineering tasks.
- Proven track record of leading technical teams (senior developers).
- Experience working on large-scale, distributed systems.
- Strong understanding of system design, performance engineering, and integration patterns.