Job Summary
We are seeking a highly skilled and motivated Senior Java Full Stack Developer (5–8 years of experience) to join our dynamic engineering team. In this role, you will be responsible for designing, developing, and deploying robust, scalable, and secure end-to-end applications.
Key Responsibilities
- Backend & Frontend Development: Design, develop, and maintain high-performance, scalable backend services using Java (8/11/17+) and Spring Boot. Architect modern user interfaces using Angular (v18+), TypeScript, HTML5, and SCSS/CSS3. Implement secure RESTful APIs and microservices.
- Cloud Infrastructure & DevOps (GCP): Deploy and scale containerized applications on GCP (GKE, Cloud Run). Manage cloud databases (Cloud SQL, Cloud Storage) and maintain CI/CD pipelines (Cloud Build, Tekton).
- AI Integration: Integrate AI/ML capabilities using LLM APIs (Google Vertex AI, OpenAI) and build intelligent automation features.
- Database & Code Quality: Optimize relational databases (PostgreSQL, Oracle) and NoSQL stores. Adhere to SOLID principles and perform testing using JUnit, Mockito, and Jasmine/Karma.
- Agile Collaboration: Participate in Scrum ceremonies, collaborate with cross-functional teams, and mentor junior developers.
Requirements
- Bachelor’s or Master’s degree in Computer Science or related field.
- 5–8 years of professional software development experience.
- Deep understanding of Core Java, multi-threading, and memory management.
- Expertise in Spring Boot, Spring Cloud, JPA/Hibernate, and Spring Security.
- Strong Angular experience including NgRx/RxJS.
- Hands-on GCP ecosystem knowledge (CloudRun, Pub/Sub, IAM, Vertex AI).
- Experience with Git, Gradle, Docker, and Kubernetes.
Pay: ₹2,500,000.00 - ₹2,800,000.00 per year
Application Question(s):
Do you have 5–8 years of hands-on experience developing full-stack applications using Java (8/11/17+), Spring Boot, and Angular (v18+)?
Do you have practical experience deploying and managing applications on Google Cloud Platform (GCP), including services such as GKE, Cloud Run, Cloud SQL, or Cloud Build?
Have you integrated AI/LLM APIs (such as Google Vertex AI or OpenAI) into production or enterprise applications?
Experience:
- relevant: 5 years (Required)
Work Location: In person
