Lead Software Engineer: Vice President

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorganChase within the CONSUMER & COMMUNITY BANKING in the Fraud Technology team, you will be leading talented individuals to build NextGen orchestration platform using advanced AI capabilities in Java & AWS. 

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• 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 in software engineering concepts and 5+ years of applied experience in software development
• Extensive experience designing, developing, debugging, and maintaining applications in a large corporate environment.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Hands-on experience building AI Agents and leveraging AI Powered tools, RAG pipelines and LLM API's.
• Proficient in coding in one or more programming language(s): Java
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Strong hands-on experience with Java, Spring, and Spring Boot
• Experience designing and implementing REST APIs
• Strong AWS experience: ECS and Lambda, networking and core services knowledge (ALB, NLB, GWLB; VPC, subnets, security groups, IAM, CloudWatch)
• 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

   

Preferred qualifications, capabilities, and skills

• Familiarity with middleware technologies
• Hands on AWS Services experience with ECS, Lambda Aurora Postgres
• Exposure to cloud technologies
• Cloud Certification
• Anthropic Claude Code experience