Back-End Software Engineer

TRINITY CONSULTING SERVICES PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Trinity Consulting Services Pte. Ltd. is seeking an experienced Java software engineer with 5+ years in banking environments.

You will design, develop, and maintain scalable microservices-based systems using Java 8+ features, Spring, Camel, and Kubernetes. You will also implement domain-driven design, API exposure, and robust CI/CD pipelines. The role emphasizes production-ready code, software quality, and collaboration with AI coding agents within the Spec Kit lifecycle, while leveraging modern

Qualifications

• Minimum 5 years of Java software engineering experience, ideally in banking environments.
• Hands-on with Java 8+ features.
• Strong Spring framework experience including Boot, MVC, Data, and DI.
• Proven microservices design, development and maintenance experience.
• Experience with domain-driven design, bounded contexts, patterns and antipatterns.
• Hands-on integration with Apache Camel and EIP patterns.
• Kubernetes containerization, deployment, and scaling experience.
• Experience containerizing Java apps with Maven plugins like Jib.
• Experience with PostgreSQL or other RDBMS and cloud-based DB management with Hibernate.
• Experience with messaging systems like Kafka, RabbitMQ, or WebSphere MQ.
• Building scalable REST/gRPC/GraphQL APIs with OpenAPI and AsyncAPI awareness.
• CI/CD pipeline development and maintenance.
• Git version control proficiency.
• Familiarity with IDEs like IntelliJ or VSCode.
• Code quality practices, unit testing, TDD, and integration testing, using SonarQube/Checkmarx.
• Experience implementing BDD with Cucumber and Jira X-ray in CI/CD.
• Ability to translate high-level specs into production-ready code, guiding AI coding agents through Spec Kit lifecycle.

Skills

Java

Spring framework

Microservices

Domain-driven design

API design

Asynchronous/event-driven APIs

CI/CD

Git

Code reviews / testing

TDD

Jira workflows

Tools

Kubernetes

Maven/Jib

Apache Camel

PostgreSQL / RDBMS

Hibernate ORM

OpenAPI

GraphQL / gRPC

Jenkins / CI tools

SonarQube

Checkmarx

IntelliJ / VSCode

Job description

• 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.