API Backend Engineer

Job Title : API Backend Engineer

Location : Kharadi, Pune (Onsite / Hybrid )

Experience : 8+ years

Employment Type : Full-time

We are looking for an experienced API Backend Engineer with strong expertise in Java, Spring Boot, REST API design, and database management . The ideal candidate will be responsible for designing, developing, and maintaining scalable backend services and integrations. Experience with messaging systems like Kafka, RabbitMQ, or Azure Service Bus , and GraphQL will be considered a strong plus.

Key Responsibilities :

Design, develop, and maintain scalable RESTful APIs using Java and Spring Boot .

Collaborate with frontend developers, architects, and product managers to define and deliver robust backend solutions.

Implement and maintain database schemas , queries, and stored procedures for high-performance data access.

Optimize application performance, reliability, and scalability.

Integrate messaging or event-driven systems like Kafka, RabbitMQ, or Azure Service Bus .

Contribute to the design and development of GraphQL APIs (optional but preferred).

Ensure best practices in coding standards, security, and version control (Git).

Participate in code reviews, design discussions, and technical documentation.

Troubleshoot production issues and provide timely solutions.

Required Skills & Qualifications :

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

8+ years of professional experience in backend development.

Strong hands-on experience with Java and Spring Boot .

Deep understanding of REST API design and implementation.

Experience working with relational databases (e.g., MySQL, PostgreSQL, Oracle).

Solid understanding of OOPs , microservices architecture , and design patterns .

Experience with CI / CD pipelines , version control (Git), and testing frameworks (JUnit, Mockito).

Good to Have / Strong Plus :

Experience with Kafka , RabbitMQ , Azure Service Bus , or other messaging systems.

Familiarity with GraphQL .

Knowledge of cloud platforms such as Azure , AWS , or GCP .

Exposure to containerization (Docker, Kubernetes).