Lead Software Engineer, AI-Driven FinTech Platforms

Next Frontier Capital; Plano (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to drive design, development, and delivery of trusted fintech solutions in a secure, scalable environment. As a core technical contributor, you will lead AI-assisted engineering practices and design ML systems, guiding teams through SDLC, cloud-native architectures, performance, and security considerations in an agile setting.

You will influence enterprise development standards, mentor engineers, and contribute to a high-impact, fast-paced

Qualifications

• 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.
• Advanced in one or more programming language(s).
• Demonstrated experience leading effective use of approved AI-assisted software development tools 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
• 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

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
• 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
• Designs and delivers scalable ML systems (batch and real-time inference), including data/feature pipelines, model training, evaluation, deployment, monitoring, and drift/performance management
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and ML systems (alerts, SLOs, auto-rollbacks, guardrails)

Skills

AI-assisted development

CI/CD

Cloud native

Software architecture

ML systems design

Security and resiliency

Education

Software engineering certification

Tools

MLflow-like tooling

Model registries

Feature stores

Job description

JPMorganChase is seeking a Lead Software Engineer to drive design, development, and delivery of trusted fintech solutions in a secure, scalable environment. As a core technical contributor, you will lead AI-assisted engineering practices and design ML systems, guiding teams through SDLC, cloud-native architectures, performance, and security considerations in an agile setting.

You will influence enterprise development standards, mentor engineers, and contribute to a high-impact, fast-paced