JPMorganChase is looking to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way within their Asset Wealth Management Tech Investment Advisor Team.
Requirements
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Master SwiftUI/iOS mobile development through hands-on coding.
- Deep expertise in platform and distributed-system design (micro-services, event-driven patterns, cloud orchestration, observability, automated testing).
- Demonstrated success in financial services or other industries requiring AI-native development skills: experience integrating GenAI APIs/LLM frameworks, building ML pipelines, or using AI code-assist (e.g., GitHub Copilot) in daily workflow.
- Design, build, and integrate platform services (APIs, event streams, shared authentication, observability) that serve clients reliably.
- Leverage AI-native coding tools to accelerate software delivery and adhere to best practices.
- Demonstrate expertise in platform and distributed-system design, including micro-services and cloud orchestration.
Responsibilities
- Deliver mobile and web experiences that delight customers and meet accessibility and performance targets.
- Champion security, compliance, and data-privacy controls in collaboration with risk and legal groups.
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Operate in a hands-on style, contributing production code and guiding CI/CD enhancements.
- Advises cross-functional teams on technological matters within your domain of expertise
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable, reusable software frameworks that are leveraged across teams and functions
Other
- Influences leaders and senior stakeholders across business, product, and technology teams
- Champions the firm’s culture of diversity, opportunity, inclusion, and respect
- Mentor and uplift engineers through pair-programming, technical talks, and architecture reviews; foster a culture of continual learning and AI adoption.
- Foster a culture of AI adoption and continual learning among engineering teams.
- Lead cross-functional agile teams and influence enterprise architecture and platforms.
