Lead Full Stack Engineer - Spring/Microservices Architecture (4-7 yrs)

Job Description :

- Provide technical leadership for full-stack development projects, ensuring alignment with architectural principles and best practices.

- Mentor and guide junior developers, fostering their professional growth and development.

- Collaborate with architects and other stakeholders to define and implement technical solutions.

- Develop robust and scalable microservices using Java, Spring Boot, and GCP.

- Write clean, efficient, and well-tested code that adheres to coding standards and best practices.

- Contribute to the design and implementation of APIs and integrations with other systems.

- Lead and manage a team of full-stack developers, assigning tasks, reviewing work, and providing feedback.

- Foster a collaborative and productive team environment, encouraging knowledge sharing and innovation.

- Ensure timely delivery of projects, meeting quality and performance expectations.

- Identify and mitigate risks, proactively addressing challenges and ensuring project success.

- Stay up-to-date with the latest technologies and trends in full-stack development.

- Research and evaluate new tools and technologies to improve development efficiency and quality.

Required Skills and Experience :

Technical Skills :

- Strong proficiency in Java, Spring Boot, and GCP.

- Experience with microservices architecture and API development.

- Knowledge of front-end technologies (HTML, CSS, JavaScript, React or Angular).

- Familiarity with cloud platforms (AWS, Azure, GCP).

- Experience with version control systems (Git).

- Understanding of DevOps practices and tools (CI/CD pipelines, containerization).

Soft Skills :

- Excellent problem-solving and analytical skills.

- Strong communication and interpersonal skills.

- Ability to work independently and as part of a team.

- Leadership and mentoring skills.

- Passion for learning and staying up-to-date with industry trends.

Additional Qualifications (Preferred) :

- Experience with Python and its frameworks (Django, Flask).

- Knowledge of data engineering and data science concepts.

- Experience with serverless computing and cloud-native development.

- Certification in AWS, Azure, or GCP.

- Contributions to open-source projects.