Back-End Software Engineer

· Must have a minimum of 5 years of relevant experience in Java software engineering, ideally in a banking environment.

· Hands-on experience in core concepts and features introduced in Java 8 or later.

· Strong experience in the Spring framework, including core modules such as Spring Boot, Spring MVC, Spring Data, and dependency injection, with a focus on building scalable and maintainable applications.

· Proven experience in designing, developing, and maintaining microservices-based applications.

· Proven experience in designing applications using domain-driven design principles, understanding of bounded context, and awareness of design patterns and antipatterns.

· Hands-on experience in developing integration solutions using Apache Camel, including designing and implementing enterprise integration patterns (EIP), route configuration, and message transformation.

· Proficiency in deploying, managing, and scaling containerized applications using Kubernetes, including experience with resource management, namespaces, and Helm charts.

· Experience in containerizing Java applications using Maven plugins, particularly Jib, to build Docker or any OCI-compliant images, optimize container builds, customize layers, and manage container metadata.

· Experience with PostgreSQL or any RDBMS, and preferably with database management experience in a cloud environment. Experience with Hibernate ORM for database integration and query optimization.

· Experience with messaging systems like Apache Kafka, RabbitMQ, or WebSphere MQ, including designing, implementing, and maintaining event-driven architectures and message queues.

· Proficiency in building scalable and secure APIs (e.g., REST, gRPC, GraphQL, etc), adhering to industry standard practices in versioning and documentation (e.g. OpenAPI specs). Hands-on experience with asynchronous and event-driven APIs (AsyncAPI specs) and messaging protocols is a plus.

· Experience with continuous integration and continuous delivery/deployment pipelines.

· Proficient in version control systems, particularly Git.

· Experience with IntelliJ or VSCode.

· Strong understanding of code quality practices, including code reviews, unit testing / TDD, and integration testing. Experience with SonarQube and Checkmarx source code analysis tools.

· Experience in implementing BDD practices using tools like Cucumber and X-ray for Jira, integrating BDD frameworks into CI/CD pipelines to ensure continuous validation of functional requirements.

· Practical experience with a proven ability to translate high-level specifications and human intent into raw, production-ready codebases. The ideal candidate must be adept at steering AI coding agents through the core Spec Kit lifecycle (/constitution → /specify → /plan → /tasks), acting as the essential human gatekeeper who refines architectural intent, handles system edge cases, and verifies the generated code.

Skills

Git, TDD, Kubernetes, PostgreSQL, Artificial Intelligence, Spring Framework, WebSphere MQ, Apache Camel, RabbitMQ, Microservices Design, Containerization, Apache Kafka, Java, API, BDD