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Sr Lead Software Engineer: Customer Trust Assessment Platform
senior · Technology / Software Development
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