As a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
- Executes creative 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 and high-quality production code, and reviews and debugs code written by others
- 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.
- Set engineering standards and reference architectures across Java, React, Kafka, Oracle, Aurora, Airflow, and Spark. Guide deployments to both public and private cloud environments.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
- A. Formal training or certification on software engineering concepts and 5+ years applied experience ( NAMR/APAC – India/ LATAM/ Hong Kong) B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil) C. Singapore follow local country guidance
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in technologies and frameworks—whether it’s Java/Spring, JavaScript/TypeScript, SQL, or Kafka. You’re hands-on with cloud platforms (internal or AWS) and eager to experiment with modern development stacks.
- 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
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Nice to have any banking or buy-side experience (portfolio management, OMS, trade lifecycle/middle office, risk and controls) that helps translate investment intent into compliant, scalable solutions**.**