Software Engineering Lead - Java Development

Description :

We are looking for a passionate and experienced Engineering Lead - Backend (Java) to join our fast-paced and rapidly growing technology team. In this role, you'll lead a team of talented engineers and play a key role in designing, developing, and scaling distributed, cloud-native applications. This is a hands-on technical leadership position where you'll balance people management with deep technical contributions.

Responsibilities :

- Lead, mentor, and manage a high-performing team of backend engineers.

- Design and develop scalable, high-performance, distributed systems using Java and frameworks like Spring Boot and Spring MVC.

- Drive full-cycle software development : from architecture and design to coding, testing,

deployment, and monitoring.

- Participate in code reviews, technical design discussions, and architectural decision-making.

- Ensure code quality, performance, security, and scalability through best engineering practices and standards.

- Collaborate cross-functionally with product managers, QA, DevOps, and other stakeholders to deliver high-impact features.

- Contribute to and improve CI/CD pipelines and deployment automation.

- Solve complex technical and architectural challenges, ensuring long-term scalability and maintainability.

Requirements :

- 6+ years of professional software development experience, with at least 1 year in a technical leadership role.

- Strong programming skills in Java, with solid experience in Spring Boot, Spring MVC, and RESTful API development.

- Hands-on experience in designing and building cloud-native, distributed systems in high-

growth environments.

- Deep understanding of Object-Oriented Design (OOD) principles and software architecture.

- Practical experience with Agile/Scrum methodologies and a collaborative team environment.

- Strong database knowledge : experience with MySQL (or other RDBMS) and MongoDB (or

other NoSQL DBs).

- Familiarity with CI/CD tools and automated deployment pipelines.

- Experience working with microservice architecture.

- Exposure to containerization (Docker) and orchestration tools (Kubernetes).

- Knowledge of cloud platforms like AWS, GCP, or Azure.