Develops, tests, reviews, and troubleshoots secure, scalable Java software within an agile Payments Technology team. Designs high-throughput distributed systems, improves application resiliency and operational stability, automates recurring remediation, and applies CI/CD and secure engineering practices. Uses and guides responsible adoption of AI-assisted development tools, contributes to technical communities, and supports end users. Works with relational and NoSQL databases and on-premises or public cloud environments.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank's Payments Technology group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Required qualifications, capabilities, and skills
- Bachelor Degree in Computer Science/ Information systems/ Engineering or related disciplines
- Minimum 5 years of Software development hands on experience
- Advanced knowledge in Java on Spring Boot programming language
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Proficient in all aspects of the Software Development Life Cycle, software engineering principles, design patterns, and best practices
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security and proficient in automation and continuous delivery methods
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Hands on experience working with high throughput, low latency distributed systems ensuring efficient communication and integration between different systems
- Proven record of providing end-user support with excellent problem-solving abilities
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Preferred qualifications, capabilities, and skills
- Advanced knowledge in relational and NoSQL databases
- Knowledge of On-prem and/or public cloud
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorganChase Singapore, Singapore, SGP Office
One@Changi City, Changi Business Park Central 1, Singapore, Singapore, 486036
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and operate cloud-based data platforms and scalable ETL pipelines for NAND reliability engineering. Analyze large semiconductor and manufacturing datasets using Python, SQL, BigQuery, and PySpark. Develop and deploy AI/ML solutions for failure analysis, anomaly detection, reliability assessment, and engineering decision-making. Collaborate with IT, AI, quality, manufacturing, and engineering teams; communicate technical findings; support customer reliability inquiries; and promote AI-enabled productivity improvements.
Top Skills:
Agentic WorkflowsAWSAzureBigQueryCloud ComputingCloud-Native ServicesGCPLarge Language ModelsMatplotlibPandasPlotlyPysparkPythonPyTorchRetrieval-Augmented GenerationScikit-LearnSQLTensorFlow
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Supports semiconductor new product introduction execution from lot release through testing. Tracks WIP, holds, rework, readiness, tool downtime, conversion issues, process abnormalities, and yield risks. Coordinates priorities and shift handovers across engineering, manufacturing, CEM, and IPPC teams. Updates SAP, Omelek, ATPEA, trackers, reports, and build documentation while ensuring safety, quality, cleanroom, and process compliance.
Top Skills:
AtpeaCleanroom OperationsManufacturing DashboardsExcelOmelekSAP
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The role focuses on product reliability, involving test development, execution, problem-solving, risk management, and cross-functional collaboration to drive innovations in high bandwidth memory technology.
Top Skills:
Cmos TechnologyDram ArchitectureJmpPython
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
