Software Engineer II - Java / Spring / AWS

JPMorgan Chase & Co.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer II for its Real-Time Payments team. You will contribute across design, development, testing, and deployment of high‑availability services in a mission‑critical payments environment.

Expect hands‑on coding, code reviews, and a focus on secure, resilient software with AI-assisted tooling to boost quality and speed. Strong API and cloud‑native skills are preferred.

Qualifications

• Bachelor’s Degree in CS, cybersecurity, data science, or related disciplines.
• 2+ years of formal software engineering experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Experience with one or more modern programming languages and database querying languages.
• Hands-on experience using enterprise AI-assisted development tools with ability to validate outputs.
• Understanding of responsible AI use, security, resiliency, and secure coding practices.
• Experience across the full SDLC and familiarity with CI/CD, application resiliency, and security.

Responsibilities

• Executes standard software solution design, development, testing, and troubleshooting.
• Writes secure, high-quality code with limited guidance in at least one language.
• Leverages enterprise AI coding assist tools to improve quality, speed, and productivity with peer review and testing.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems.
• Applies SDLC tools and AI-assisted automation to improve value and efficiency.
• Gathers and analyzes data to identify problems and support secure, stable application development.
• Participates in architecture reviews and promotes automation and good engineering practices.

Skills

Software engineering

System design

Code development

AI-assisted development

Secure coding

SDLC

Agile CI/CD

Data analysis

Security

REST APIs

Education

Bachelor’s degree in CS, cybersecurity, data science or related

Tools

Java & Spring Boot

React

JUnit

Kafka

Redis

Jira

Confluence

AWS

Kubernetes

Terraform

Job description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Corporate & Investment Bank Real-Time Payments organization, you will be a hands‑on engineer promoting the RTP product through the full software development lifecycle—from design and development through testing, production readiness, and rollout. You will deliver high-quality features and services, actively participate in architecture and code reviews, and uphold robust standards for automation, resiliency, and operational excellence in a mission‑critical real‑time payments environment.

Job responsibilities

• Executes standard software solution, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

• Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
• 2+ years of formal experience or certification on software engineering concepts
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands‑on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Hands‑on development experience with Java and Spring Boot/Spring Core, including building REST APIs and integrating with downstream systems
• Working knowledge of React (or strong willingness to contribute to UI components as needed) and test automation using JUnit
• Familiarity with event‑driven concepts and tooling (e.g., MQ and/or Kafka) and distributed system fundamentals (retries, timeouts, idempotency)
• Exposure to caching technologies (e.g., Redis and/or GemFire) and performance‑minded development practices
• Working experience with Agile delivery and tooling: Jira for execution tracking and Confluence for documentation
• Basic cloud/platform exposure and willingness to learn: AWS, Kubernetes, Terraform (hands‑on experience preferred but not required depending on team needs)
• Strong engineering fundamentals: clean code, code reviews, debugging, and clear written communication
• Experience in payments or regulated financial services, especially high‑availability and low‑latency systems
• Experience operating production services (incident response, post‑incident reviews, observability, runbooks)
• Familiarity with secure SDLC practices, including vulnerability remediation and dependency hygiene
• Exposure to AI/LLM‑enabled development workflows (used responsibly) for productivity improvements (e.g., code assistance, test generation, documentation drafts)