✨ AI Summary
As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology organization, you will be an integral part of an agile team focused on enhancing, building, and delivering market-leading technology products. You will execute creative software solutions, including design, development, and technical troubleshooting, pushing beyond conventional approaches. A key responsibility includes driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of effective patterns. You will identify opportunities to automate remediation of recurring issues and lead evaluation sessions with external vendors and internal teams to assess architectural designs and technical credentials.
Required qualifications include formal training or certification on software engineering concepts with 5+ years of applied experience, alongside hands-on practical experience in system design, application development, testing, and operational stability. You must be advanced in one or more programming languages and demonstrate experience leading the effective use of approved AI-assisted software development tools. A strong understanding of responsible AI use in engineering workflows, proficiency in the Software Development Life Cycle and agile methodologies (CI/CD, Application Resiliency, Security), in-depth knowledge of the financial services industry, and practical cloud-native experience are also essential.
🎁 Benefits & Perks
Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching.
Requirements
Requires formal training or certification on software engineering concepts with 5+ years of applied experience. Must have hands-on experience in system design, application development, testing, and operational stability. Advanced proficiency in at least one programming language and demonstrated experience leading the effective use of approved AI-assisted software development tools are essential. Strong understanding of responsible AI use in engineering workflows and proficiency in all aspects of the Software Development Life Cycle, agile methodologies, CI/CD, application resiliency, and security are required. In-depth knowledge of the financial services industry and practical cloud-native experience are also necessary.
Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Technology organization, 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.
- 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 one or more programming language(s)
- 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