Java Microservices Engineer III - Trading Tech

JPMorgan Chase & Co.

Singapore

On-site

SGD 120,000 - 180,000

Full time

5 days ago

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Job summary

JPMorganChase is seeking a Software Engineer III in Singapore to join the Trading Technology team. You will be a seasoned member of an agile group, designing and delivering trusted, scalable market-leading technology products in a secure and reliable manner.

You will contribute to microservices in Java, work with Kafka, IBM MQ, Kubernetes, Redis, MSK, and AWS to create robust services and actively participate in architecture discussions, API design, testing, and secure coding practices.

Qualifications

Bachelor's degree in Computer Science or related field, or equivalent experience.
Working knowledge of Java with a self-assessed proficiency of 5 out of 10 or higher, and a willingness to hands-on coding.
Formal Training and certification on software engineering and 3+ years of applied experience
Exposure to distributed architecture systems involving large data volumes or real-time distribution.
Familiarity with CI/CD, DevOps tool chains, and a test-driven approach to agile delivery.
Exposure to middle-tier data caching solutions (e.g., Redis, Gemfire, Apache Ignite) and/or messaging-based solutions (e.g., Kafka, IBM MQ).
Understanding of microservices, REST APIs, databases, SQL, non-SQL stores, and event-based architecture.
Hands-on experience using enterprise-authored AI-assisted software development tools with ability to critically evaluate AI outputs and ensure security.

Responsibilities

Work alongside a team of technologists to develop and deploy applications that meet business and functional requirements.
Contribute to the design and implementation of microservices in Java, applying streaming, non-blocking, and reactive programming techniques under the guidance of senior team members.
Use technologies such as Kafka, IBM MQ, Kubernetes (K8s), Redis cache, MSK, and AWS to build and maintain scalable services.
Support the team's adoption of domain-driven design principles and take part in architectural discussions.
Assist in producing technical documentation, including service APIs using Swagger, and help implement logging, auditability, security, and monitoring features.
Take part in API design sessions and help evaluate design patterns proposed by the team.
Write test cases using TDD/BDD approaches and participate in code review sessions, both as a reviewer and reviewee.
Help validate the scalability of services using mock testing frameworks and other tools.
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, while validating outputs through peer review, automated testing, and secure coding standards.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.