JPMorganChase
Lead Software Engineer, Java, Equities Prime - Securities Lending Technology
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Lead design, develop, and troubleshoot secure, high-quality Java/Spring Boot and Python microservices and web UIs. Build enterprise-scale data processing with Oracle, RESTful APIs, and cloud-native patterns. Drive CI/CD, automation, resiliency, and security best practices. Lead architecture reviews, communities of practice, and adoption of enterprise-approved AI-assisted engineering while establishing validation standards and operational stability.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creating user interfaces and interactive features for web applications using languages and frameworks.
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
Required qualifications, capabilities, and skills
- Bachelor’s Degree in Computer Science related disciplines
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Experience in software development of Micro services with Java, Spring Boot, Python
- Experience with cloud technologies and distributed systems, RESTful APIs and web technologies. Knowledge of Restful Web Services, WebSockets; JSON
- Hands-on experience designing and building enterprise-scale, high-volume data processing applications using SQL databases such as Oracle.
- Advanced Proficiency in front-end languages and libraries (e.g.C#, React) and back-end languages and frameworks (e.g., Java, Spring, Python etc.) and practical cloud native experience.
- Proficient in all aspects of the Software Development Life Cycle and proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience with build and Integration Tools, including knowledge of JIRA, Maven, Git, Jenkins, GitHub and BitBucket is required.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.)
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong 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 coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
- Experience working across the entire Software Development Life Cycle in a large corporate environment.
- Completed AWS Developer or Solution Architect Certification
- In-depth knowledge of the financial services industry and their IT systems
- Observability and production management tools (ex. Splunk / Dynatrace / Grafana)
- A keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning.
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
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