Location: Palo Alto, CA, United States

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 Commercial & Investment Bank , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

 

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

• Develops secure and high-quality production code, and reviews and debugs code written by others

   

• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies

 

 

Required qualifications, capabilities, and skills

•  Formal training or certification on software engineering concepts and 5+ years applied experience 
• Hands on experience in back-end software engineering ideally with Java as the primary programming language, delivering production-grade services at scale.
• Hands-on practical experience delivering system design, application development, testing, and operational stability for distributed back-end platforms.
• Advanced in Java and common back-end frameworks and patterns (e.g., Spring Boot, REST/gRPC, microservices), with strong understanding of performance and concurrency.
• Advanced knowledge of event-driven architectures and messaging/streaming systems (e.g., Kafka, AWS SNS/SQS, or comparable platforms), including event design, ordering, retries, and idempotency.
• Ability to tackle design and functionality problems independently with little to no oversight, producing clear technical direction and measurable outcomes.
• Practical cloud native experience on AWS, including building, deploying, and operating services using managed cloud capabilities and infrastructure-as-code.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Familiarity with applying AI capabilities to build solutions and enhance engineering workflows, including responsible use of AI-assisted development tools and patterns.

 

Preferred qualifications, capabilities, and skills

• Experience with AI-powered development tools such as GitHub Copilot, Claude Code, or similar coding assistants to accelerate development workflows

 

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChases review of criminal conviction history, including pretrial diversions or program entries.

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications