Introduction
IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.
Your Role And Responsibilities
A hands-on Java Backend Developer role responsible for designing, developing, testing, and maintaining scalable backend systems and services using Java 8+ and Spring Boot. The position emphasizes strong unit/system testing, multithreading, and practical exposure to modern Java features such as Virtual Threads (Java 21).
- Design, develop, and maintain backend components and microservices using Java 8+ and Spring Boot.
- Implement and maintain unit, integration, and system testing frameworks to ensure high-quality, reliable code.
- Develop performant and concurrent systems using multithreading and Scatter & Gather patterns.
- Contribute to the design and implementation of RESTful APIs, ensuring scalability, security, and performance.
- Explore and apply modern Java capabilities (e.g., Virtual Threads in Java 21) to enhance system efficiency and responsiveness.
- Collaborate with cross-functional teams — including front-end developers, QA engineers, and DevOps — to deliver end-to-end solutions.
- Participate in code reviews, contribute to continuous integration and delivery pipelines, and promote best development practices.
- Contribute to technical documentation, process improvements, and knowledge sharing within the team.
- Basic knowledge of Pythonand Linux is required for scripting or automation tasks.
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
- 5+ years of strong programming experience in Java (Java 8, 17, and 21), with a deep understanding of object-oriented design principles, functional programming features, and core Java APIs.
- Hands-on experience in building, testing, and maintaining backend systems and RESTful APIs using Spring Boot and related frameworks.
- Strong experience with unit testing and system testing, using tools such as JUnit, Mockito, or TestNG to ensure code quality and reliability.
- Practical experience in building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions, including automated testing and deployment.
- Solid understanding of multithreading, concurrency, and Scatter & Gather patterns to optimize performance in distributed systems.
- Proven experience working in Linux-based environments, with proficiency in scripting (e.g., Bash, Shell) for automation and build support.
- Experience with containerization technologies such as Docker and Kubernetes for developing, deploying, and managing microservices.
- Strong understanding of modern Java advancements, including Virtual Threads introduced in Java 21, and their application in building high-performance, scalable systems.
- Basic working knowledge of Python for scripting, automation, or system integration is an added advantage.
Preferred Technical And Professional Experience
- Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, including understanding of how they integrate into production environments.
- Experience developing or maintaining software on IBM z/OS mainframe systems.
- Familiarity with z/OS build and packaging workflows,
- Understanding of system performance tuning, especially in high-throughput compute or I/O environments (e.g., large model training or inference).
- Knowledge of GPU computing and low-level profiling/debugging tools.
- Experience managing long-lifecycle enterprise systems and ensuring compatibility across releases and deployments.
- Background contributing to or maintaining open-source projects in the infrastructure, DevOps, or AI tooling space
- Proficiency in distributed systems, microservice architecture, and REST APIs.
- Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows.
- Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.
- Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams.
- Proven track record of ensuring compliance with industry best practices and standards in AI engineering.
- Maintained high standards of code quality, performance, and security in AI projects.
