Sr Lead Software Engineer: Customer Trust Assessment Platform

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in New York is seeking a Senior Lead Software Engineer to guide an agile team toward delivering NextGen orchestration platforms using AI capabilities in Java and AWS.

You will lead talented engineers, drive secure software practices, and shape product design while aligning with enterprise SDLC standards. The role emphasizes building scalable AI-powered solutions, mentoring engineers, and fostering an inclusive culture within the Fraud Technology team of Consumer & Community

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of experience.
• 10+ years of designing, developing, debugging, and maintaining applications in a large corporate environment.
• Hands-on experience delivering system design, application development, testing, and operations.
• Experience building AI agents and using AI-powered tools including RAG pipelines and LLM APIs.
• Strong knowledge in cloud/AI disciplines with modern engineering practices.
• Proficient in Java, Spring, and Spring Boot; experience designing REST APIs.

Responsibilities

• Provide technical guidance to business and technology teams, including contractors and vendors.
• Develop secure, production-grade code; review and improve code written by others.
• Make decisions shaping product design, application behavior, and operations.
• Serve as a function-wide SME in one or more technical areas.
• Advocate for SDLC frameworks, tools, and engineering practices.
• Influence peers and stakeholders to apply modern technologies with value.
• Promote inclusive team culture grounded in diversity and respect.
• Drive AI-assisted engineering practices to improve code quality, speed, and outcomes.

Skills

Java

Spring Framework

Spring Boot

REST APIs

AWS

AI/ML

Software Leadership

AI-assisted tooling

Secure Coding

System Design

Education

Software engineering degree

Industry certification

Tools

Terraform

CI/CD tools

Observability tooling

Job description

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 Senior 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

• Provide technical guidance and direction to business and technology teams, including contractors and vendors

• Develop secure, production-grade code; review, debug, and improve code written by others

• Make and drive decisions that shape product design, application behavior, and operational processes

• Serve as a function-wide subject matter expert in one or more technical areas

• Advocate for and help teams adopt firmwide SDLC frameworks, tools, and engineering practices

• Influence peers and project stakeholders to evaluate and apply modern technologies where they provide clear value

• Promote an inclusive team culture grounded in diversity, opportunity, inclusion, and respect

• 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

• 10+ years of experience designing, developing, debugging, and maintaining applications in a large corporate environment

• Hands-on experience delivering system design, application development, testing, and operational stability

• Hands-on experience building AI agents and using AI-powered tools, including retrieval-augmented generation (RAG) pipelines and LLM APIs

• Deep knowledge in one or more technical disciplines (e.g., cloud, AI/ML), with strong understanding of modern engineering practices

• 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

• Experience with NoSQL and relational databases (e.g., Cassandra, PostgreSQL, Oracle)
• Working knowledge of Agile delivery methods and CI/CD practices
• Experience designing resilient, secure internet-facing APIs (OAuth 2.0/OIDC, JWT, TLS/mTLS, rate limiting)
• Familiarity with middleware technologies
• Experience with Infrastructure as Code (Terraform)
• Experience with observability tools (logging, metrics, tracing)
• Cloud certification