JPMorganChase
Website:
jpmorganchase.com
Company:
https://www.linkedin.com/company/jpmorganchase
Seniority: Not Applicable
Industries: Financial Services
Job details:
Job 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 Asset and Wealth Management, 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
- Full stack delivery: Own features end-to-end from requirements and design through implementation, testing, deployment, and ongoing support.
- Front-end development: Build responsive, maintainable user interfaces with strong attention to usability, accessibility, and performance.
- Back-end development: Develop scalable services and APIs, including data access, business logic, and integration with upstream/downstream systems.
- Cloud & DevOps: Contribute hands-on to cloud infrastructure, CI/CD pipelines, automation, monitoring, and operational readiness.
- Quality & reliability: Apply best practices in testing, code review, observability, performance tuning, and incident readiness.
- Security & controls: Build with secure-by-design practices (access control, secrets management, auditability, responsible data handling).
- Technical leadership (IC): Influence architecture and standards, mentor engineers, and lead by example without formal people management.
- 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
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong proficiency in Java, JavaScript, and Python, plus experience with other modern languages/frameworks as needed.
- Proven experience building both front-end applications and back-end services/APIs.
- Experience with cloud platforms and modern delivery practices (automation, CI/CD, monitoring/observability).
- Strong engineering discipline across testing, documentation, and maintainable design.
- Excellent communication skills and ability to operate effectively in ambiguous environments.
- 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
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