Backend Developer IBM GCC DBS (F2F)
Fixed date for F2F: 22nd Oct 2026
Location: Hyderabad (Client Location - Work From Office)
Experience: 4 8 Years
Job Title
Java Backend Developer
Job Summary
IBM GCC DBS is looking for a highly skilled Java Backend Developer with strong expertise in Java, Spring Boot, Microservices, REST APIs, Databases, Containerization, and Cloud/DevOps practices. The candidate will be responsible for developing scalable enterprise-grade backend systems and supporting high-performance business applications.
Mandatory Skills
- Java 8/11/17+
- Spring Boot
- Microservices Architecture
- REST API Development
- Hibernate / JPA
- SQL (MySQL / PostgreSQL / Oracle)
- Kafka / RabbitMQ
- Docker & Kubernetes
- CI/CD (Jenkins / GitHub Actions / Azure DevOps)
- Git, Maven, Gradle
- JWT & OAuth2 Security
Preferred Skills
- AWS / Azure Cloud Exposure
- Redis / Caching Technologies
- ElasticSearch
- Monitoring Tools (Prometheus, Grafana, Splunk)
- Agile/Scrum Methodology
Key Responsibilities
- Design and develop scalable backend applications using Java and Spring Boot.
- Build Microservices-based enterprise solutions.
- Develop and integrate RESTful APIs.
- Work with relational and NoSQL databases.
- Implement security best practices using JWT and OAuth2.
- Deploy and manage applications using Docker and Kubernetes.
- Build CI/CD pipelines and automate deployments.
- Optimize application performance and scalability.
- Participate in code reviews and architecture discussions.
- Troubleshoot production issues and provide technical solutions.
Interview Focus Areas (IBM GCC)
Round 1: Core Java
- OOPs Concepts
- Collections Framework
- Exception Handling
- Multithreading & Concurrency
- Java 8 Features (Streams, Lambda, Functional Interfaces)
- Memory Management & JVM
Round 2: Spring Boot & Microservices
- Spring IOC & Dependency Injection
- Spring Boot Annotations
- Spring Data JPA
- Service Discovery
- API Gateway
- Circuit Breaker
- Distributed Transactions
Round 3: Database & SQL
- Complex Joins
- Indexing
- Query Optimization
- Normalization
- Transactions & ACID Properties
Round 4: DevOps & Cloud
- Docker Lifecycle
- Kubernetes Pods, Services & Deployments
- Jenkins Pipelines
- CI/CD Concepts
- Cloud Deployment Basics
Round 5: Coding
- String Manipulation
- Collections Problems
- Multithreading Scenarios
- API Design Problems